diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 35c7214..88c5fe4 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -16,7 +16,7 @@ jobs: fail-fast: false matrix: os: [ubuntu-latest] - python-version: ["3.8", "3.9", "3.10"] + python-version: ["3.9", "3.10"] steps: - uses: actions/checkout@v2 with: diff --git a/ndbc_api/api/handlers/http/stations.py b/ndbc_api/api/handlers/http/stations.py index 4a9cfcd..7071f6b 100644 --- a/ndbc_api/api/handlers/http/stations.py +++ b/ndbc_api/api/handlers/http/stations.py @@ -47,7 +47,8 @@ def historical_stations(cls, handler: Any) -> pd.DataFrame: except (AttributeError, ValueError, TypeError) as e: raise ResponseException( 'Failed to execute `station` request.') from e - return HistoricalStationsParser.df_from_response(resp, use_timestamp=False) + return HistoricalStationsParser.df_from_response(resp, + use_timestamp=False) @classmethod def nearest_station( @@ -154,9 +155,9 @@ def _nearest(df: pd.DataFrame, lat_a: float, lon_a: float): # Calculate distances using Haversine formula df_filtered['distance'] = df_filtered.apply( - lambda row: StationsHandler._distance(lat_a, lon_a, row['Lat'], row['Lon']), - axis=1 - ) + lambda row: StationsHandler._distance(lat_a, lon_a, row['Lat'], row[ + 'Lon']), + axis=1) # Find the index of the closest row smallest_distance = df_filtered['distance'].min() @@ -173,9 +174,9 @@ def _radial_search(df: pd.DataFrame, lat_a: float, lon_a: float, # Calculate distances using Haversine formula df_filtered['distance'] = df_filtered.apply( - lambda row: StationsHandler._distance(lat_a, lon_a, row['Lat'], row['Lon']), - axis=1 - ) + lambda row: StationsHandler._distance(lat_a, lon_a, row['Lat'], row[ + 'Lon']), + axis=1) df_filtered.sort_values(by='distance', inplace=True) diff --git a/ndbc_api/api/handlers/opendap/data.py b/ndbc_api/api/handlers/opendap/data.py index 8dbc46e..08a2468 100644 --- a/ndbc_api/api/handlers/opendap/data.py +++ b/ndbc_api/api/handlers/opendap/data.py @@ -1,7 +1,7 @@ from datetime import datetime, timedelta from typing import Any -import netCDF4 as nc +import xarray from ndbc_api.api.handlers._base import BaseHandler from ndbc_api.api.parsers.opendap.adcp import AdcpParser @@ -31,7 +31,7 @@ def adcp( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """adcp""" try: reqs = AdcpRequest.build_request(station_id=station_id, @@ -54,7 +54,7 @@ def cwind( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """cwind""" try: reqs = CwindRequest.build_request(station_id=station_id, @@ -77,7 +77,7 @@ def ocean( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """ocean""" try: reqs = OceanRequest.build_request(station_id=station_id, @@ -100,12 +100,12 @@ def pwind( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """pwind""" try: reqs = PwindRequest.build_request(station_id=station_id, - start_time=start_time, - end_time=end_time) + start_time=start_time, + end_time=end_time) except Exception as e: raise RequestException('Failed to build request.') from e try: @@ -113,7 +113,7 @@ def pwind( except Exception as e: raise ResponseException('Failed to execute requests.') from e return PwindParser.nc_from_responses(responses=resps, - use_timestamp=use_timestamp) + use_timestamp=use_timestamp) @classmethod def stdmet( @@ -123,7 +123,7 @@ def stdmet( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """stdmet""" try: reqs = StdmetRequest.build_request(station_id=station_id, @@ -146,12 +146,12 @@ def swden( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """swden""" try: reqs = SwdenRequest.build_request(station_id=station_id, - start_time=start_time, - end_time=end_time) + start_time=start_time, + end_time=end_time) except Exception as e: raise RequestException('Failed to build request.') from e try: @@ -159,7 +159,7 @@ def swden( except Exception as e: raise ResponseException('Failed to execute requests.') from e return SwdenParser.nc_from_responses(responses=resps, - use_timestamp=use_timestamp) + use_timestamp=use_timestamp) @classmethod def wlevel( @@ -169,12 +169,12 @@ def wlevel( start_time: datetime = datetime.now() - timedelta(days=30), end_time: datetime = datetime.now(), use_timestamp: bool = True, - ) -> 'nc.Dataset': + ) -> xarray.Dataset: """wlevel""" try: reqs = WlevelRequest.build_request(station_id=station_id, - start_time=start_time, - end_time=end_time) + start_time=start_time, + end_time=end_time) except Exception as e: raise RequestException('Failed to build request.') from e try: @@ -182,4 +182,4 @@ def wlevel( except Exception as e: raise ResponseException('Failed to execute requests.') from e return WlevelParser.nc_from_responses(responses=resps, - use_timestamp=use_timestamp) + use_timestamp=use_timestamp) diff --git a/ndbc_api/api/parsers/http/_base.py b/ndbc_api/api/parsers/http/_base.py index 0cce406..6465bf9 100644 --- a/ndbc_api/api/parsers/http/_base.py +++ b/ndbc_api/api/parsers/http/_base.py @@ -28,7 +28,7 @@ def df_from_responses(cls, if use_timestamp: try: df = df.reset_index().drop_duplicates(subset='timestamp', - keep='first') + keep='first') df = df.set_index('timestamp').sort_index() except KeyError as e: raise ParserException from e @@ -43,7 +43,8 @@ def _read_response(cls, response: dict, if not data: return pd.DataFrame() # check that parsed names match parsed values or revert - if len([v.strip() for v in data[0].strip('\n').split(' ') if v]) != len(names): + if len([v.strip() for v in data[0].strip('\n').split(' ') if v + ]) != len(names): names = cls.REVERT_COL_NAMES if '(' in data[0]: data = cls._clean_data(data) diff --git a/ndbc_api/api/parsers/http/_xml.py b/ndbc_api/api/parsers/http/_xml.py index 5b31454..486b306 100644 --- a/ndbc_api/api/parsers/http/_xml.py +++ b/ndbc_api/api/parsers/http/_xml.py @@ -22,6 +22,7 @@ def root_from_response(cls, response: dict) -> ET.ElementTree: try: root = ET.fromstring(body) - return ET.ElementTree(root) + return ET.ElementTree(root) except Exception as e: - raise ParserException("failed to obtain XML root from response body") from e + raise ParserException( + "failed to obtain XML root from response body") from e diff --git a/ndbc_api/api/parsers/http/active_stations.py b/ndbc_api/api/parsers/http/active_stations.py index ad2da1e..c2ea1ef 100644 --- a/ndbc_api/api/parsers/http/active_stations.py +++ b/ndbc_api/api/parsers/http/active_stations.py @@ -11,7 +11,9 @@ class ActiveStationsParser(XMLParser): """ @classmethod - def df_from_response(cls, response: dict, use_timestamp: bool = False) -> pd.DataFrame: + def df_from_response(cls, + response: dict, + use_timestamp: bool = False) -> pd.DataFrame: """ Reads the response body and parses it into a DataFrame. @@ -27,24 +29,38 @@ def df_from_response(cls, response: dict, use_timestamp: bool = False) -> pd.Dat station_data = [] for station in root.findall('station'): station_info = { - 'Station': station.get('id'), - 'Lat': float(station.get('lat')), - 'Lon': float(station.get('lon')), - 'Elevation': float(station.get('elev')) if station.get('elev') else pd.NA, - 'Name': station.get('name'), - 'Owner': station.get('owner'), - 'Program': station.get('pgm'), - 'Type': station.get('type'), - 'Includes Meteorology': station.get('met') == 'y', - 'Includes Currents': station.get('currents') == 'y', - 'Includes Water Quality': station.get('waterquality') == 'y', - 'DART Program': station.get('dart') == 'y' + 'Station': + station.get('id'), + 'Lat': + float(station.get('lat')), + 'Lon': + float(station.get('lon')), + 'Elevation': + float(station.get('elev')) + if station.get('elev') else pd.NA, + 'Name': + station.get('name'), + 'Owner': + station.get('owner'), + 'Program': + station.get('pgm'), + 'Type': + station.get('type'), + 'Includes Meteorology': + station.get('met') == 'y', + 'Includes Currents': + station.get('currents') == 'y', + 'Includes Water Quality': + station.get('waterquality') == 'y', + 'DART Program': + station.get('dart') == 'y' } station_data.append(station_info) - df = pd.DataFrame(station_data) # Create DataFrame from the extracted data + df = pd.DataFrame( + station_data) # Create DataFrame from the extracted data except ET.ParseError as e: raise ParserException(f"Error parsing XML data: {e}") from e - return df \ No newline at end of file + return df diff --git a/ndbc_api/api/parsers/http/historical_stations.py b/ndbc_api/api/parsers/http/historical_stations.py index 7580b0a..3333e43 100644 --- a/ndbc_api/api/parsers/http/historical_stations.py +++ b/ndbc_api/api/parsers/http/historical_stations.py @@ -9,9 +9,11 @@ class HistoricalStationsParser(XMLParser): """ Parser for active station information from XML data. """ - + @classmethod - def df_from_response(cls, response: dict, use_timestamp: bool = False) -> pd.DataFrame: + def df_from_response(cls, + response: dict, + use_timestamp: bool = False) -> pd.DataFrame: """ Reads the response body and parses it into a DataFrame. @@ -31,22 +33,37 @@ def df_from_response(cls, response: dict, use_timestamp: bool = False) -> pd.Dat station_owner = station.get('owner') station_program = station.get('pgm') station_type = station.get('type') - + for history in station.findall('history'): station_info = { - 'Station': station_id, - 'Lat': float(history.get('lat')), - 'Lon': float(history.get('lng')), - 'Elevation': float(history.get('elev')) if history.get('elev') else pd.NA, - 'Name': station_name, - 'Owner': station_owner, - 'Program': station_program, - 'Type': station_type, - 'Includes Meteorology': history.get('met') == 'y', - 'Hull Type': history.get('hull'), - 'Anemometer Height': float(history.get('anemom_height')) if history.get('anemom_height') else pd.NA, - 'Start Date': history.get('start'), - 'End Date': history.get('stop'), + 'Station': + station_id, + 'Lat': + float(history.get('lat')), + 'Lon': + float(history.get('lng')), + 'Elevation': + float(history.get('elev')) + if history.get('elev') else pd.NA, + 'Name': + station_name, + 'Owner': + station_owner, + 'Program': + station_program, + 'Type': + station_type, + 'Includes Meteorology': + history.get('met') == 'y', + 'Hull Type': + history.get('hull'), + 'Anemometer Height': + float(history.get('anemom_height')) + if history.get('anemom_height') else pd.NA, + 'Start Date': + history.get('start'), + 'End Date': + history.get('stop'), } station_data.append(station_info) @@ -55,4 +72,4 @@ def df_from_response(cls, response: dict, use_timestamp: bool = False) -> pd.Dat except ET.ParseError as e: raise ParserException(f"Error parsing XML data: {e}") from e - return df \ No newline at end of file + return df diff --git a/ndbc_api/api/parsers/opendap/_base.py b/ndbc_api/api/parsers/opendap/_base.py index d06ae68..027e225 100644 --- a/ndbc_api/api/parsers/opendap/_base.py +++ b/ndbc_api/api/parsers/opendap/_base.py @@ -1,11 +1,12 @@ import os import tempfile -from typing import List +from typing import List, Optional -import netCDF4 as nc +import xarray +import xarray from ndbc_api.exceptions import ParserException -from ndbc_api.utilities.opendap.dataset import join_netcdf4 +from ndbc_api.utilities.opendap.dataset import concat_datasets class BaseParser: @@ -14,10 +15,11 @@ class BaseParser: SPATIAL_DIMS = ['latitude', 'longitude'] @classmethod - def nc_from_responses(cls, - responses: List[dict], - use_timestamp: bool = False, - ) -> 'nc.Dataset': + def nc_from_responses( + cls, + responses: List[dict], + use_timestamp: bool = False, + ) -> xarray.Dataset: """Build the netCDF dataset from the responses. Args: @@ -25,7 +27,7 @@ def nc_from_responses(cls, server regardless of content or HTTP code. Returns: - nc.Dataset: The netCDF dataset. + xarray.open_dataset: The netCDF dataset. """ datasets = [] for r in responses: @@ -36,27 +38,20 @@ def nc_from_responses(cls, else: content = r try: - with tempfile.NamedTemporaryFile(delete=False, suffix='.nc', dir=os.getcwd()) as temp_file: - temp_file.write(content) - temp_file.flush() - temp_file.close() - - ds = nc.Dataset(temp_file.name, 'r', format='NETCDF4') - datasets.append(ds) - - os.remove(temp_file.name) - datasets.append(ds) + xrds = xarray.open_dataset(content) + datasets.append(xrds) except Exception as e: raise ParserException from e - return cls._join_netcdf4(datasets) + return cls._merge_datasets(datasets) @classmethod - def _join_netcdf4( - cls, - datasets: List['nc.Dataset'], - ) -> 'nc.Dataset': - """Joins multiple netCDF4 datasets using their shared dimensions. + def _merge_datasets( + cls, + datasets: List[xarray.Dataset], + temporal_dim_name: Optional[str] = None, + ) -> xarray.Dataset: + """Joins multiple xarray datasets using their shared dimensions. Handles cases where datasets might not have the same variables, but requires that all datasets share the same dimensions. For @@ -64,7 +59,7 @@ def _join_netcdf4( have `time`, `latitude`, and `longitude` dimensions. Args: - datasets (List[netCDF4.Dataset]): A list of netCDF4 datasets + temporal_dim_name (List[xarray.Dataset]): A list of netCDF4 datasets to join. dimension_names (List[str]): A list of dimension names to join the datasets on. Defaults to `['time', 'latitude', 'longitude']`. @@ -72,7 +67,7 @@ def _join_netcdf4( Returns: A netCDF4.Dataset object containing the joined data. """ - return join_netcdf4( + return concat_datasets( datasets, - cls.TEMPORAL_DIM, + temporal_dim_name if temporal_dim_name else cls.TEMPORAL_DIM, ) diff --git a/ndbc_api/api/parsers/opendap/adcp.py b/ndbc_api/api/parsers/opendap/adcp.py index 4ceaea0..851bc40 100644 --- a/ndbc_api/api/parsers/opendap/adcp.py +++ b/ndbc_api/api/parsers/opendap/adcp.py @@ -11,5 +11,7 @@ class AdcpParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'depth'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> pd.DataFrame: + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> pd.DataFrame: return super(AdcpParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/parsers/opendap/cwind.py b/ndbc_api/api/parsers/opendap/cwind.py index a5bcb27..d32b355 100644 --- a/ndbc_api/api/parsers/opendap/cwind.py +++ b/ndbc_api/api/parsers/opendap/cwind.py @@ -11,6 +11,7 @@ class CwindParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'instrument', 'water_depth'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> pd.DataFrame: - return super(CwindParser, - cls).nc_from_responses(responses) + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> pd.DataFrame: + return super(CwindParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/parsers/opendap/ocean.py b/ndbc_api/api/parsers/opendap/ocean.py index ddc5df1..df5661e 100644 --- a/ndbc_api/api/parsers/opendap/ocean.py +++ b/ndbc_api/api/parsers/opendap/ocean.py @@ -11,6 +11,7 @@ class OceanParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'instrument', 'water_depth'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> pd.DataFrame: - return super(OceanParser, - cls).nc_from_responses(responses) + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> pd.DataFrame: + return super(OceanParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/parsers/opendap/pwind.py b/ndbc_api/api/parsers/opendap/pwind.py index dca0fff..455b641 100644 --- a/ndbc_api/api/parsers/opendap/pwind.py +++ b/ndbc_api/api/parsers/opendap/pwind.py @@ -1,7 +1,6 @@ from typing import List -import netCDF4 as nc - +import xarray from ndbc_api.api.parsers.opendap._base import BaseParser @@ -12,6 +11,7 @@ class PwindParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'instrument', 'water_depth'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> 'nc.Dataset': - return super(PwindParser, - cls).nc_from_responses(responses) + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> xarray.Dataset: + return super(PwindParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/parsers/opendap/stdmet.py b/ndbc_api/api/parsers/opendap/stdmet.py index 0654e94..0544912 100644 --- a/ndbc_api/api/parsers/opendap/stdmet.py +++ b/ndbc_api/api/parsers/opendap/stdmet.py @@ -1,7 +1,6 @@ from typing import List -import netCDF4 as nc - +import xarray from ndbc_api.api.parsers.opendap._base import BaseParser @@ -12,6 +11,7 @@ class StdmetParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'instrument', 'water_depth'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> 'nc.Dataset': - return super(StdmetParser, - cls).nc_from_responses(responses) + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> xarray.Dataset: + return super(StdmetParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/parsers/opendap/swden.py b/ndbc_api/api/parsers/opendap/swden.py index ab14ebb..8956d5e 100644 --- a/ndbc_api/api/parsers/opendap/swden.py +++ b/ndbc_api/api/parsers/opendap/swden.py @@ -11,6 +11,7 @@ class SwdenParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'frequency'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> pd.DataFrame: - return super(SwdenParser, - cls).nc_from_responses(responses) + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> pd.DataFrame: + return super(SwdenParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/parsers/opendap/wlevel.py b/ndbc_api/api/parsers/opendap/wlevel.py index 99dd2c1..44709c9 100644 --- a/ndbc_api/api/parsers/opendap/wlevel.py +++ b/ndbc_api/api/parsers/opendap/wlevel.py @@ -11,6 +11,7 @@ class WlevelParser(BaseParser): SPATIAL_DIMS = ['latitude', 'longitude', 'frequency'] @classmethod - def nc_from_responses(cls, responses: List[dict], use_timestamp: bool = False) -> pd.DataFrame: - return super(WlevelParser, - cls).nc_from_responses(responses) + def nc_from_responses(cls, + responses: List[dict], + use_timestamp: bool = False) -> pd.DataFrame: + return super(WlevelParser, cls).nc_from_responses(responses) diff --git a/ndbc_api/api/requests/opendap/_base.py b/ndbc_api/api/requests/opendap/_base.py index c4b12ee..d3e9da4 100644 --- a/ndbc_api/api/requests/opendap/_base.py +++ b/ndbc_api/api/requests/opendap/_base.py @@ -22,7 +22,8 @@ def build_request(cls, station_id: str, start_time: datetime, now = datetime.strptime(os.getenv('MOCKDATE'), '%Y-%m-%d') else: now = datetime.now() - is_historical = (now - start_time) >= timedelta(days=45) # we use 45 rather than 44 for opendap data + is_historical = (now - start_time) >= timedelta( + days=45) # we use 45 rather than 44 for opendap data if is_historical: return cls._build_request_historical( station_id=station_id, diff --git a/ndbc_api/api/requests/opendap/wlevel.py b/ndbc_api/api/requests/opendap/wlevel.py index bf7c0fa..11bd1db 100644 --- a/ndbc_api/api/requests/opendap/wlevel.py +++ b/ndbc_api/api/requests/opendap/wlevel.py @@ -13,4 +13,4 @@ class WlevelRequest(BaseRequest): def build_request(cls, station_id: str, start_time: datetime, end_time: datetime) -> List[str]: return super(WlevelRequest, cls).build_request(station_id, start_time, - end_time) + end_time) diff --git a/ndbc_api/ndbc_api.py b/ndbc_api/ndbc_api.py index b47cb9b..b9838c1 100644 --- a/ndbc_api/ndbc_api.py +++ b/ndbc_api/ndbc_api.py @@ -26,19 +26,17 @@ handler. """ import logging -import itertools import pickle import warnings -from concurrent.futures import ThreadPoolExecutor +from concurrent.futures import ThreadPoolExecutor, as_completed from datetime import datetime, timedelta -from typing import Any, List, Sequence, Tuple, Union +from typing import Any, List, Sequence, Tuple, Union, Dict +import xarray import pandas as pd -import netCDF4 as nc from .api.handlers.http.data import DataHandler from .api.handlers.http.stations import StationsHandler -from .api.handlers.opendap.data import OpenDapDataHandler from .config import (DEFAULT_CACHE_LIMIT, HTTP_BACKOFF_FACTOR, HTTP_DEBUG, HTTP_DELAY, HTTP_RETRY, LOGGER_NAME, VERIFY_HTTPS) from .exceptions import (HandlerException, ParserException, RequestException, @@ -46,7 +44,8 @@ from .utilities.req_handler import RequestHandler from .utilities.singleton import Singleton from .utilities.log_formatter import LogFormatter -from .utilities.opendap.dataset import join_netcdf4, filter_netcdf4_by_variable, filter_netcdf4_by_time_range +from .api.handlers.opendap.data import OpenDapDataHandler +from .utilities.opendap.dataset import concat_datasets, merge_datasets, filter_dataset_by_variable, filter_dataset_by_time_range class NdbcApi(metaclass=Singleton): @@ -253,7 +252,8 @@ def stations(self, as_df: bool = True) -> Union[pd.DataFrame, dict]: except (ResponseException, ValueError, KeyError) as e: raise ResponseException('Failed to handle returned data.') from e - def historical_stations(self, as_df: bool = True) -> Union[pd.DataFrame, dict]: + def historical_stations(self, + as_df: bool = True) -> Union[pd.DataFrame, dict]: """Get historical stations and station metadata from the NDBC. Query the NDBC data service for the historical data buoys @@ -280,7 +280,6 @@ def historical_stations(self, as_df: bool = True) -> Union[pd.DataFrame, dict]: except (ResponseException, ValueError, KeyError) as e: raise ResponseException('Failed to handle returned data.') from e - def nearest_station( self, lat: Union[str, float, None] = None, @@ -457,8 +456,8 @@ def get_data( cols: List[str] = None, station_ids: Union[Sequence[Union[int, str]], None] = None, modes: Union[List[str], None] = None, - use_opendap: bool = False - ) -> Union[pd.DataFrame, 'nc.Dataset', dict]: + use_opendap: bool = False, + ) -> Union[pd.DataFrame, xarray.Dataset, dict]: """Execute data query against the specified NDBC station(s). Query the NDBC data service for station-level measurements, using the @@ -522,7 +521,6 @@ def get_data( handle_station_ids: List[Union[int, str]] = [] handle_modes: List[str] = [] - station_id_as_column: bool = True if station_id is None else False if station_id is not None: handle_station_ids.append(station_id) @@ -533,6 +531,10 @@ def get_data( if modes is not None: handle_modes.extend(modes) + for mode in handle_modes: + if mode not in self.get_modes(use_opendap): + raise RequestException(f"Mode {mode} is not available.") + self.log(logging.INFO, message=(f"Processing request for station_ids " f"{handle_station_ids} and modes " @@ -540,77 +542,49 @@ def get_data( # accumulated_data records the handled response and parsed station_id # as a tuple, with the data as the first value and the id as the second. - accumulated_data: List[Tuple[Union[pd.DataFrame, dict], str]] = [] - with ThreadPoolExecutor(max_workers=len(handle_station_ids) * - len(handle_modes)) as executor: - data_requests = list( - itertools.product(handle_station_ids, handle_modes)) - futures = [ - executor.submit(self._handle_get_data, - station_id=station_id, - mode=mode, - start_time=start_time, - end_time=end_time, - use_timestamp=use_timestamp, - as_df=as_df, - cols=cols, - use_opendap=use_opendap, - ) for station_id, mode in data_requests - ] - for i, future in enumerate(futures): - try: - data = future.result() - self.log( - level=logging.DEBUG, - station_id=data_requests[i][0], - mode=data_requests[i][1], - message=( - f"Successfully processed request for station_id " - f"{data_requests[i][0]} and mode " - f"{data_requests[i][1]}")) - accumulated_data.append(data) - except (RequestException, ResponseException, - HandlerException) as e: - self.log( - level=logging.WARN, - station_id=data_requests[i][0], - mode=data_requests[i][1], - message=(f"Failed to process request for station_id " - f"{data_requests[i][0]} and mode " - f"{data_requests[i][1]} with error: {e}")) - continue - - self.log(logging.INFO, - message=(f"Finished processing request for " - f"station_ids {handle_station_ids} and " - f"modes {handle_modes} with " - f"{len(accumulated_data)} results")) - - # check that we have some response - if len(accumulated_data) == 0: - self.log(logging.WARN, - message=(f"No data was returned for station_ids " - f"{handle_station_ids} and modes " - f"{handle_modes}")) - raise ResponseException( - f'No data was returned for station_ids {handle_station_ids} ' - f'and modes {handle_modes}') - # handle the default case where a single station_id and mode are specified - if len(accumulated_data) == 1: - self.log(logging.DEBUG, - message=(f"Returning data for single station_id " - f"{handle_station_ids[0]} and mode " - f"{handle_modes[0]}")) - return accumulated_data[0][0] - # handle the case where multiple station_ids and modes are specified - self.log(logging.DEBUG, - message=(f"Returning data for multiple station_ids " - f"{handle_station_ids} and modes " - f"{handle_modes}")) - return self._handle_accumulate_data(accumulated_data, - station_id_as_column, - use_opendap=use_opendap) - + accumulated_data: Dict[str, Dict[str, Union[pd.DataFrame, dict]]] = {} + for mode in handle_modes: + accumulated_data[mode] = [] + + with ThreadPoolExecutor( + max_workers=len(handle_station_ids)) as station_executor: + station_futures = {} + for station_id in handle_station_ids: + station_futures[station_id] = station_executor.submit( + self._handle_get_data, + mode=mode, + station_id=station_id, + start_time=start_time, + end_time=end_time, + use_timestamp=use_timestamp, + as_df=as_df, + cols=cols, + use_opendap=use_opendap, + ) + + for future in as_completed(station_futures.values()): + try: + station_data, station_id = future.result() + self.log( + level=logging.DEBUG, + station_id=station_id, + message= + f"Successfully processed request for station_id {station_id}" + ) + if as_df: + station_data['station_id'] = station_id + accumulated_data[mode].append(station_data) + except (RequestException, ResponseException, + HandlerException) as e: + self.log( + level=logging.WARN, + station_id=station_id, + message=(f"Failed to process request for station_id " + f"{station_id} with error: {e}")) + self.log(logging.INFO, message="Finished processing request.") + return self._handle_accumulate_data(accumulated_data) + + def get_modes(self, use_opendap: bool = False) -> List[str]: """Get the list of supported modes for `get_data(...)`. @@ -622,34 +596,22 @@ def get_modes(self, use_opendap: bool = False) -> List[str]: (List[str]) the available modalities. """ if use_opendap: - return [v for v in vars(self._opendap_data_api) if not v.startswith('_')] + return [ + v for v in vars(self._opendap_data_api) if not v.startswith('_') + ] return [v for v in vars(self._data_api) if not v.startswith('_')] @staticmethod - def save_netcdf_dataset(temp_dataset: nc.Dataset, output_filepath: str): + def save_netcdf_dataset(dataset: xarray.Dataset, output_filepath: str): """ Saves a netCDF4 dataset from a temporary file to a user-specified file path. Args: - temp_dataset: The netCDF4.Dataset object opened from the temporary file. - output_filepath: The desired file path to save the dataset. - - Returns: - None: The dataset is saved to the specified location. + dataset: The xarray dataset to save. + output_filepath: The path to save the dataset to. """ - new_dataset = nc.Dataset(output_filepath, 'w', format='NETCDF4', diskless=True, persist=True) + dataset.to_netcdf(output_filepath) - for dim_name, dim in temp_dataset.dimensions.items(): - new_dataset.createDimension(dim_name, len(dim) if not dim.isunlimited() else None) - - for var_name, var in temp_dataset.variables.items(): - new_var = new_dataset.createVariable(var_name, var.datatype, var.dimensions) - new_var.setncatts(var.__dict__) - new_var[:] = var[:] - - new_dataset.close() - temp_dataset.close() - """ PRIVATE """ def _get_request_handler( @@ -729,52 +691,51 @@ def _handle_data(data: pd.DataFrame, return data def _handle_accumulate_data( - self, - accumulated_data: List[Tuple[Union[pd.DataFrame, dict], str]], - station_id_as_column: bool = False, - use_opendap: bool = False, - ) -> Union[pd.DataFrame, dict]: + self, + accumulated_data: Dict[str, List[Union[pd.DataFrame, dict, xarray.Dataset]]], + ) -> Union[pd.DataFrame, dict]: """Accumulate the data from multiple stations and modes.""" - return_as_df = isinstance(accumulated_data[0][0], pd.DataFrame) + for k in list(accumulated_data.keys()): + if not accumulated_data[k]: + del accumulated_data[k] + + if not accumulated_data: + return {} + + return_as_df = isinstance(accumulated_data[list(accumulated_data.keys())[-1]][0], pd.DataFrame) + use_opendap = isinstance(accumulated_data[list(accumulated_data.keys())[-1]][0], xarray.Dataset) - data: Union[List[pd.DataFrame], List['nc.Dataset'], dict] = [] if return_as_df or use_opendap else {} + data: Union[List[pd.DataFrame], List[xarray.Dataset], + dict] = [] if return_as_df or use_opendap else {} - for d in accumulated_data: + for mode, station_data in accumulated_data.items(): if return_as_df: - if station_id_as_column: - d[0].insert(0, 'station_id', d[1]) - data.append(d[0]) + data.extend(station_data) elif use_opendap: - data.append(d[0]) + data.extend(station_data) else: - d_data, d_station_id = d[0], d[1] - if station_id_as_column: - # the keys need to be updated to include the station_id - # as a prefix before we update the `data` dict. - d_data = { - f'{d_station_id}_{k}': v for k, v in d_data.items() - } - # the keys across modes should be unique so a simple update - # is sufficient. - data.update(d_data) + data[mode] = station_data if return_as_df: - return pd.concat(data) + df = pd.concat(data, axis=0) + df.reset_index(inplace=True, drop=False) + df.set_index(['timestamp', 'station_id'], inplace=True) + return df elif use_opendap: - return join_netcdf4(data) + return merge_datasets(data) return data def _handle_get_data( - self, - mode: str, - station_id: str, - start_time: datetime, - end_time: datetime, - use_timestamp: bool, - as_df: bool = True, - cols: List[str] = None, - use_opendap: bool = False, - ) -> Tuple[Union[pd.DataFrame, 'nc.Dataset', dict], str]: + self, + mode: str, + station_id: str, + start_time: datetime, + end_time: datetime, + use_timestamp: bool, + as_df: bool = True, + cols: List[str] = None, + use_opendap: bool = False, + ) -> Tuple[Union[pd.DataFrame, xarray.Dataset, dict], str]: start_time = self._handle_timestamp(start_time) end_time = self._handle_timestamp(end_time) station_id = self._parse_station_id(station_id) @@ -798,15 +759,15 @@ def _handle_get_data( f'Failed to handle API call.\nRaised from {e}') from e if use_timestamp: if use_opendap: - data = filter_netcdf4_by_time_range(data, start_time, end_time) + data = filter_dataset_by_time_range(data, start_time, end_time) else: data = self._enforce_timerange(df=data, - start_time=start_time, - end_time=end_time) + start_time=start_time, + end_time=end_time) try: if use_opendap: if cols: - handled_data = filter_netcdf4_by_variable(data, cols) + handled_data = filter_dataset_by_variable(data, cols) else: handled_data = data else: diff --git a/ndbc_api/utilities/opendap/dataset.py b/ndbc_api/utilities/opendap/dataset.py index 1fcec55..68d1b36 100644 --- a/ndbc_api/utilities/opendap/dataset.py +++ b/ndbc_api/utilities/opendap/dataset.py @@ -1,17 +1,15 @@ -import tempfile -import os from datetime import datetime from typing import List, Union -import netCDF4 as nc +import xarray import numpy as np -def join_netcdf4( - datasets: List['nc.Dataset'], +def concat_datasets( + datasets: List[xarray.Dataset], temporal_dim_name: str = 'time', -) -> 'nc.Dataset': - """Joins multiple netCDF4 datasets using their shared dimensions. +) -> xarray.Dataset: + """Joins multiple xarray datasets using their shared dimensions. Handles cases where datasets might not have the same variables, but requires that all datasets share the same dimensions. For @@ -19,82 +17,43 @@ def join_netcdf4( have `time`, `latitude`, and `longitude` dimensions. Args: - datasets (List[netCDF4.Dataset]): A list of netCDF4 datasets + datasets (List[xarray.Dataset]): A list of xarray datasets to join. dimension_names (List[str]): A list of dimension names to join the datasets on. Defaults to `['time', 'latitude', 'longitude']`. Returns: - A netCDF4.Dataset object containing the joined data. + A xarray.Dataset object containing the joined data. """ - unique_dim_values = {} - for dim_name in datasets[0].dimensions.keys(): - all_values = np.concatenate([ds.variables[dim_name][:] for ds in datasets]) - unique_values, indices = np.unique(all_values, return_inverse=True) - unique_dim_values[dim_name] = unique_values - - with tempfile.NamedTemporaryFile(delete=True, suffix='.nc', dir=os.getcwd()) as temp_file: - output_ds = nc.Dataset(temp_file.name, 'w', format='NETCDF4') - - # create time dimension - output_ds.createDimension(temporal_dim_name, len(unique_dim_values[temporal_dim_name])) - temporal_var = datasets[0].variables[temporal_dim_name] - fill_value = getattr(temporal_var, '_FillValue', 'f8') - time_var = output_ds.createVariable(temporal_dim_name, fill_value, (temporal_dim_name,)) - time_var[:] = unique_dim_values[temporal_dim_name] - time_var.units = datasets[0].variables[temporal_dim_name].units - - # create other spatial dimensions - for dim_name in unique_dim_values: - if dim_name == temporal_dim_name: - continue - output_ds.createDimension(dim_name, len(unique_dim_values[dim_name])) - spatial_var = datasets[0].variables[dim_name] - fill_value = getattr(spatial_var, '_FillValue', 'f8') - dim_var = output_ds.createVariable(dim_name, fill_value, (dim_name,)) - dim_var[:] = unique_dim_values[dim_name] - if hasattr(datasets[0].variables[dim_name], 'units'): - dim_var.units = datasets[0].variables[dim_name].units - - all_variables = set() - for ds in datasets: - all_variables.update(ds.variables.keys()) + result = xarray.concat(datasets, dim=temporal_dim_name) + return result - for var_name in all_variables: - if var_name in unique_dim_values: - continue - datasets_with_var = [ds for ds in datasets if var_name in ds.variables] - if not datasets_with_var: - continue - var1 = datasets_with_var[0].variables[var_name] - fill_value = getattr(var1, '_FillValue', None) - if not fill_value: - continue +def merge_datasets(datasets: List[xarray.Dataset],) -> xarray.Dataset: + """Merges multiple xarray datasets using their shared dimensions. - out_var = output_ds.createVariable(var_name, var1.datatype, var1.dimensions, fill_value=fill_value) - out_var.setncatts(var1.__dict__) - - # create an empty array to store the merged data - combined_data = np.full((len(unique_dim_values[temporal_dim_name]),) + var1.shape[1:], fill_value, dtype=var1.datatype) + Handles cases where datasets might not have the same variables, + but requires that all datasets share the same dimensions. For + data stored on the THREDDS server, all datasets are expected to + have `time`, `latitude`, and `longitude` dimensions. - # fill in data from each dataset based on their time indices - for ds in datasets_with_var: - var = ds.variables[var_name] - time_values = ds.variables[temporal_dim_name][:] - indices = np.where(np.in1d(unique_dim_values[temporal_dim_name], time_values))[0] - combined_data[indices, ...] = var[:] + Args: + datasets (List[xarray.Dataset]): A list of xarray datasets + to join. - out_var[:] = combined_data + Returns: + A xarray.Dataset object containing the merged data. + """ + result = xarray.merge(datasets, compat='override') + return result - return output_ds -def filter_netcdf4_by_time_range( - dataset: nc.Dataset, +def filter_dataset_by_time_range( + dataset: xarray.Dataset, start_time: datetime, end_time: datetime, temporal_dim_name: str = 'time', -) -> nc.Dataset: +) -> xarray.Dataset: """ Filters a netCDF4 Dataset to keep only data within a specified time range. @@ -106,55 +65,14 @@ def filter_netcdf4_by_time_range( Returns: The modified netCDF4 Dataset object with data outside the time range removed. """ - with tempfile.NamedTemporaryFile(delete=True, suffix='.nc', dir=os.getcwd()) as temp_file: - output_ds = nc.Dataset(temp_file.name, 'w', format='NETCDF4') - - time_var = dataset.variables[temporal_dim_name] - time_units = time_var.units - - start_time_num = nc.date2num(start_time, time_units) - end_time_num = nc.date2num(end_time, time_units) - - time_values = time_var[:].squeeze() - time_indices = np.where((time_values >= start_time_num) & (time_values <= end_time_num))[0] - - output_ds.createDimension(temporal_dim_name, len(time_indices)) - new_time_var = output_ds.createVariable(temporal_dim_name, time_var.datatype, (temporal_dim_name,)) - new_time_var.units = time_var.units - new_time_var[:] = time_values[time_indices] - - # copy the spatial dimensions - for dim_name in dataset.dimensions.keys(): - if dim_name == temporal_dim_name: - continue - dim_var = dataset.variables[dim_name] - output_ds.createDimension(dim_name, len(dim_var)) - out_var = output_ds.createVariable(dim_name, dim_var.datatype, (dim_name,)) - if hasattr(dim_var, 'units'): - out_var.units = dim_var.units - out_var[:] = dim_var[:] - - for var_name, var in dataset.variables.items(): - if var_name in dataset.dimensions: - continue - if temporal_dim_name in var.dimensions: - var_data = var[:] - if var_data.ndim > 1: - filtered_data = var_data[time_indices, ...] - new_shape = (len(time_indices),) + var_data.shape[1:] - else: - filtered_data = var_data[time_indices] - new_shape = (len(time_indices),) - new_var = output_ds.createVariable(var_name, var.datatype, var.dimensions, fill_value=getattr(var, '_FillValue', None)) - new_var.setncatts(var.__dict__) - new_var[:] = filtered_data.reshape(new_shape) - - return output_ds - -def filter_netcdf4_by_variable( - dataset: nc.Dataset, + filtered_ds = dataset.sel({temporal_dim_name: slice(start_time, end_time)}) + return filtered_ds + + +def filter_dataset_by_variable( + dataset: xarray.Dataset, cols: Union[List[str], None] = None, -) -> nc.Dataset: +) -> xarray.Dataset: """ Filters a netCDF4 Dataset to keep only data with variables whose names are in cols. @@ -165,27 +83,6 @@ def filter_netcdf4_by_variable( Returns: The modified netCDF4 Dataset object with data with variables not in cols removed. """ - with tempfile.NamedTemporaryFile(delete=True, suffix='.nc', dir=os.getcwd()) as temp_file: - output_ds = nc.Dataset(temp_file.name, 'w', format='NETCDF4') - - # copy dimensions - for dim_name in dataset.dimensions.keys(): - dim_var = dataset.variables[dim_name] - output_ds.createDimension(dim_name, len(dim_var)) - out_var = output_ds.createVariable(dim_name, dim_var.datatype, (dim_name,)) - if hasattr(dim_var, 'units'): - out_var.units = dim_var.units - out_var[:] = dim_var[:] - - # copy variables - if not cols: - cols = dataset.variables.keys() - for var_name in cols: - if var_name in dataset.dimensions.keys(): - continue - var = dataset.variables[var_name] - out_var = output_ds.createVariable(var_name, var.datatype, var.dimensions) - out_var.setncatts(var.__dict__) - out_var[:] = var[:] - - return output_ds + if cols is None: + return dataset + return dataset[cols] diff --git a/ndbc_api/utilities/req_handler.py b/ndbc_api/utilities/req_handler.py index 1fd48be..6e12889 100644 --- a/ndbc_api/utilities/req_handler.py +++ b/ndbc_api/utilities/req_handler.py @@ -205,7 +205,10 @@ def execute_request(self, station_id: Union[str, int], url: str, message=f'Response status: {response.status_code}') if response.status_code != 200: # web request did not succeed return dict(status=response.status_code, body='') - elif any(['netcdf' in response.headers.get('Content-Type').lower(), 'octet' in response.headers.get('Content-Type').lower()]): + elif any([ + 'netcdf' in response.headers.get('Content-Type').lower(), + 'octet' in response.headers.get('Content-Type').lower() + ]): return dict(status=response.status_code, body=response.content) return dict(status=response.status_code, body=response.text) diff --git a/notebooks/overview.ipynb b/notebooks/overview.ipynb index 5d5aa9d..35c214b 100644 --- a/notebooks/overview.ipynb +++ b/notebooks/overview.ipynb @@ -192,7 +192,7 @@ " Prediction and Research Moored Array in the At...\n", " International Partners\n", " buoy\n", - " True\n", + " False\n", " False\n", " False\n", " False\n", @@ -243,7 +243,7 @@ " ...\n", " \n", " \n", - " 1338\n", + " 1339\n", " yata2\n", " 59.548\n", " -139.733\n", @@ -258,7 +258,7 @@ " False\n", " \n", " \n", - " 1339\n", + " 1340\n", " ygnn6\n", " 43.262\n", " -79.064\n", @@ -273,7 +273,7 @@ " False\n", " \n", " \n", - " 1340\n", + " 1341\n", " yktv2\n", " 37.227\n", " -76.479\n", @@ -288,7 +288,7 @@ " False\n", " \n", " \n", - " 1341\n", + " 1342\n", " yrsv2\n", " 37.414\n", " -76.712\n", @@ -303,7 +303,7 @@ " False\n", " \n", " \n", - " 1342\n", + " 1343\n", " zbqn7\n", " 33.955\n", " -77.935\n", @@ -319,7 +319,7 @@ " \n", " \n", "\n", - "

1343 rows × 12 columns

\n", + "

1344 rows × 12 columns

\n", "" ], "text/plain": [ @@ -330,11 +330,11 @@ "3 13008 15.000 -38.000 0.0 \n", "4 13009 8.000 -38.000 0.0 \n", "... ... ... ... ... \n", - "1338 yata2 59.548 -139.733 \n", - "1339 ygnn6 43.262 -79.064 73.0 \n", - "1340 yktv2 37.227 -76.479 3.7 \n", - "1341 yrsv2 37.414 -76.712 11.0 \n", - "1342 zbqn7 33.955 -77.935 \n", + "1339 yata2 59.548 -139.733 \n", + "1340 ygnn6 43.262 -79.064 73.0 \n", + "1341 yktv2 37.227 -76.479 3.7 \n", + "1342 yrsv2 37.414 -76.712 11.0 \n", + "1343 zbqn7 33.955 -77.935 \n", "\n", " Name \\\n", "0 Sturgeon Bay CG Station, WI \n", @@ -343,11 +343,11 @@ "3 Reggae \n", "4 Lambada \n", "... ... \n", - "1338 9453220 - Yakutat, Yakutat Bay, AK \n", - "1339 Niagara Coast Guard Station, NY \n", - "1340 8637689 - Yorktown USCG Training Center, VA \n", - "1341 Taskinas Creek, Chesapeake Bay Reserve, VA \n", - "1342 Zeke's Basin, North Carolina \n", + "1339 9453220 - Yakutat, Yakutat Bay, AK \n", + "1340 Niagara Coast Guard Station, NY \n", + "1341 8637689 - Yorktown USCG Training Center, VA \n", + "1342 Taskinas Creek, Chesapeake Bay Reserve, VA \n", + "1343 Zeke's Basin, North Carolina \n", "\n", " Owner \\\n", "0 U.S.C.G. Marine Reporting Stations \n", @@ -356,24 +356,24 @@ "3 Prediction and Research Moored Array in the At... \n", "4 Prediction and Research Moored Array in the At... \n", "... ... \n", - "1338 NOS \n", - "1339 NWS Eastern Region \n", - "1340 NOS \n", - "1341 National Estuarine Research Reserve System \n", + "1339 NOS \n", + "1340 NWS Eastern Region \n", + "1341 NOS \n", "1342 National Estuarine Research Reserve System \n", + "1343 National Estuarine Research Reserve System \n", "\n", " Program Type Includes Meteorology Includes Currents \\\n", "0 IOOS Partners fixed False False \n", "1 International Partners buoy True False \n", - "2 International Partners buoy True False \n", + "2 International Partners buoy False False \n", "3 International Partners buoy True False \n", "4 International Partners buoy True False \n", "... ... ... ... ... \n", - "1338 NOS/CO-OPS fixed True False \n", - "1339 IOOS Partners fixed True False \n", - "1340 NOS/CO-OPS fixed True False \n", - "1341 NERRS fixed True False \n", - "1342 NERRS fixed False False \n", + "1339 NOS/CO-OPS fixed True False \n", + "1340 IOOS Partners fixed True False \n", + "1341 NOS/CO-OPS fixed True False \n", + "1342 NERRS fixed True False \n", + "1343 NERRS fixed False False \n", "\n", " Includes Water Quality DART Program \n", "0 False False \n", @@ -382,13 +382,13 @@ "3 False False \n", "4 False False \n", "... ... ... \n", - "1338 False False \n", "1339 False False \n", "1340 False False \n", "1341 False False \n", "1342 False False \n", + "1343 False False \n", "\n", - "[1343 rows x 12 columns]" + "[1344 rows x 12 columns]" ] }, "execution_count": 5, @@ -468,20 +468,9 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['adcp', 'cwind', 'ocean', 'pwind', 'stdmet', 'swden', 'wlevel']" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "api.get_modes(use_opendap=True)" + "# api.get_modes(use_opendap=True)" ] }, { @@ -563,7 +552,7 @@ " \n", " \n", " \n", - " 1278\n", + " 1279\n", " tplm2\n", " 38.899\n", " -76.436\n", @@ -589,8 +578,8 @@ " IOOS Partners\n", " buoy\n", " True\n", - " False\n", - " False\n", + " True\n", + " True\n", " False\n", " 9.369909\n", " \n", @@ -693,8 +682,8 @@ " \n", " 239\n", " 44402\n", - " 39.295\n", - " -70.700\n", + " 39.314\n", + " -70.717\n", " 0.0\n", " SOUTHEAST BLOCK CANYON - 130 NM SE of Fire Isl...\n", " NDBC\n", @@ -704,7 +693,7 @@ " False\n", " False\n", " True\n", - " 497.152323\n", + " 495.825675\n", " \n", " \n", " 1178\n", @@ -745,7 +734,7 @@ ], "text/plain": [ " Station Lat Lon Elevation \\\n", - "1278 tplm2 38.899 -76.436 0.0 \n", + "1279 tplm2 38.899 -76.436 0.0 \n", "213 44063 38.963 -76.448 0.0 \n", "622 apam2 38.983 -76.479 1.4 \n", "729 cpvm2 38.995 -76.388 3.4 \n", @@ -753,12 +742,12 @@ "... ... ... ... ... \n", "693 cblo1 41.981 -80.556 177.0 \n", "270 45142 42.740 -79.290 174.0 \n", - "239 44402 39.295 -70.700 0.0 \n", + "239 44402 39.314 -70.717 0.0 \n", "1178 rprn6 43.263 -77.598 75.0 \n", "1167 rcrn6 43.269 -77.626 76.7 \n", "\n", " Name \\\n", - "1278 Thomas Point, MD \n", + "1279 Thomas Point, MD \n", "213 Annapolis, MD \n", "622 8575512 - Annapolis, MD \n", "729 8575437 - Chesapeake Bay Bridge Visibility, MD \n", @@ -771,7 +760,7 @@ "1167 9052058 - Rochester, NY \n", "\n", " Owner \\\n", - "1278 NDBC \n", + "1279 NDBC \n", "213 Chesapeake Bay Interpretive Buoy System (CBIBS) \n", "622 NOS \n", "729 NOAA NOS PORTS \n", @@ -784,7 +773,7 @@ "1167 NOS \n", "\n", " Program Type Includes Meteorology \\\n", - "1278 NDBC Meteorological/Ocean fixed True \n", + "1279 NDBC Meteorological/Ocean fixed True \n", "213 IOOS Partners buoy True \n", "622 NOS/CO-OPS fixed True \n", "729 NOS/CO-OPS fixed True \n", @@ -797,15 +786,15 @@ "1167 NOS/CO-OPS fixed True \n", "\n", " Includes Currents Includes Water Quality DART Program distance \n", - "1278 False False False 2.177979 \n", - "213 False False False 9.369909 \n", + "1279 False False False 2.177979 \n", + "213 True True False 9.369909 \n", "622 False False False 12.225590 \n", "729 False False False 13.307985 \n", "678 False False False 26.506690 \n", "... ... ... ... ... \n", "693 False False False 491.192873 \n", "270 False False False 492.561301 \n", - "239 False False True 497.152323 \n", + "239 False False True 495.825675 \n", "1178 False False False 497.635930 \n", "1167 False False False 498.756609 \n", "\n", @@ -836,7 +825,7 @@ { "data": { "text/plain": [ - "'23226'" + "'tplm2'" ] }, "execution_count": 10, @@ -845,7 +834,7 @@ } ], "source": [ - "api.nearest_station(lat=38.88, lon=76.43)" + "api.nearest_station(lat=38.88, lon=-76.43)" ] }, { @@ -1180,7 +1169,9 @@ " 'May 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm252024.txt.gz&dir=data/stdmet/May/',\n", " 'Jun 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm262024.txt.gz&dir=data/stdmet/Jun/',\n", " 'Jul 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm272024.txt.gz&dir=data/stdmet/Jul/',\n", - " 'Aug 2024': 'https://www.ndbc.noaa.gov/data/stdmet/Aug/tplm2.txt',\n", + " 'Aug 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm282024.txt.gz&dir=data/stdmet/Aug/',\n", + " 'Sep 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm292024.txt.gz&dir=data/stdmet/Sep/',\n", + " 'Oct 2024': 'https://www.ndbc.noaa.gov/data/stdmet/Oct/tplm2.txt',\n", " '1985': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm2h1985.txt.gz&dir=data/historical/stdmet/',\n", " '1986': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm2h1986.txt.gz&dir=data/historical/stdmet/',\n", " '1987': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm2h1987.txt.gz&dir=data/historical/stdmet/',\n", @@ -1227,7 +1218,9 @@ " 'May 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm252024.txt.gz&dir=data/cwind/May/',\n", " 'Jun 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm262024.txt.gz&dir=data/cwind/Jun/',\n", " 'Jul 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm272024.txt.gz&dir=data/cwind/Jul/',\n", - " 'Aug 2024': 'https://www.ndbc.noaa.gov/data/cwind/Aug/tplm2.txt',\n", + " 'Aug 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm282024.txt.gz&dir=data/cwind/Aug/',\n", + " 'Sep 2024': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm292024.txt.gz&dir=data/cwind/Sep/',\n", + " 'Oct 2024': 'https://www.ndbc.noaa.gov/data/cwind/Oct/tplm2.txt',\n", " '1990': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm2c1990.txt.gz&dir=data/historical/cwind/',\n", " '1991': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm2c1991.txt.gz&dir=data/historical/cwind/',\n", " '1992': 'https://www.ndbc.noaa.gov/download_data.php?filename=tplm2c1992.txt.gz&dir=data/historical/cwind/',\n", @@ -1312,8 +1305,8 @@ " Jun 2024\n", " Jul 2024\n", " Aug 2024\n", - " 1985\n", - " 1986\n", + " Sep 2024\n", + " Oct 2024\n", " ...\n", " 2014\n", " 2015\n", @@ -1337,9 +1330,9 @@ " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", - " https://www.ndbc.noaa.gov/data/stdmet/Aug/tplm...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", + " https://www.ndbc.noaa.gov/data/stdmet/Oct/tplm...\n", " ...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", @@ -1361,9 +1354,9 @@ " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", - " https://www.ndbc.noaa.gov/data/cwind/Aug/tplm2...\n", - " NaN\n", - " NaN\n", + " https://www.ndbc.noaa.gov/download_data.php?fi...\n", + " https://www.ndbc.noaa.gov/download_data.php?fi...\n", + " https://www.ndbc.noaa.gov/data/cwind/Oct/tplm2...\n", " ...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", " https://www.ndbc.noaa.gov/download_data.php?fi...\n", @@ -1378,7 +1371,7 @@ " \n", " \n", "\n", - "

2 rows × 47 columns

\n", + "

2 rows × 49 columns

\n", "" ], "text/plain": [ @@ -1411,16 +1404,16 @@ "Continuous winds data https://www.ndbc.noaa.gov/download_data.php?fi... \n", "\n", " Aug 2024 \\\n", - "Standard meteorological data https://www.ndbc.noaa.gov/data/stdmet/Aug/tplm... \n", - "Continuous winds data https://www.ndbc.noaa.gov/data/cwind/Aug/tplm2... \n", - "\n", - " 1985 \\\n", "Standard meteorological data https://www.ndbc.noaa.gov/download_data.php?fi... \n", - "Continuous winds data NaN \n", + "Continuous winds data https://www.ndbc.noaa.gov/download_data.php?fi... \n", "\n", - " 1986 \\\n", + " Sep 2024 \\\n", "Standard meteorological data https://www.ndbc.noaa.gov/download_data.php?fi... \n", - "Continuous winds data NaN \n", + "Continuous winds data https://www.ndbc.noaa.gov/download_data.php?fi... \n", + "\n", + " Oct 2024 \\\n", + "Standard meteorological data https://www.ndbc.noaa.gov/data/stdmet/Oct/tplm... \n", + "Continuous winds data https://www.ndbc.noaa.gov/data/cwind/Oct/tplm2... \n", "\n", " ... \\\n", "Standard meteorological data ... \n", @@ -1466,7 +1459,7 @@ "Standard meteorological data https://www.ndbc.noaa.gov/download_data.php?fi... \n", "Continuous winds data https://www.ndbc.noaa.gov/download_data.php?fi... \n", "\n", - "[2 rows x 47 columns]" + "[2 rows x 49 columns]" ] }, "execution_count": 16, @@ -1541,18 +1534,24 @@ " vertical-align: top;\n", " }\n", "\n", - " .dataframe thead th {\n", - " text-align: right;\n", + " .dataframe thead tr th {\n", + " text-align: left;\n", " }\n", "\n", "\n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1638,20 +1637,21 @@ "" ], "text/plain": [ - "timestamp 2020-01-01 00:00:00 2020-01-01 01:00:00 2020-01-01 02:00:00\n", - "WDIR 188.0 273.0 286.0\n", - "WSPD 6.1 6.0 4.7\n", - "GST 6.2 6.9 5.6\n", - "WVHT NaN NaN NaN\n", - "DPD NaN NaN NaN\n", - "APD NaN NaN NaN\n", - "MWD NaN NaN NaN\n", - "PRES 1006.1 1006.8 1007.3\n", - "ATMP 9.5 9.3 8.7\n", - "WTMP 6.6 6.6 6.5\n", - "DEWP -0.3 -0.6 -1.4\n", - "VIS NaN NaN NaN\n", - "TIDE NaN NaN NaN" + "timestamp 2020-01-01 00:00:00 2020-01-01 01:00:00 2020-01-01 02:00:00\n", + "station_id tplm2 tplm2 tplm2\n", + "WDIR 188.0 273.0 286.0\n", + "WSPD 6.1 6.0 4.7\n", + "GST 6.2 6.9 5.6\n", + "WVHT NaN NaN NaN\n", + "DPD NaN NaN NaN\n", + "APD NaN NaN NaN\n", + "MWD NaN NaN NaN\n", + "PRES 1006.1 1006.8 1007.3\n", + "ATMP 9.5 9.3 8.7\n", + "WTMP 6.6 6.6 6.5\n", + "DEWP -0.3 -0.6 -1.4\n", + "VIS NaN NaN NaN\n", + "TIDE NaN NaN NaN" ] }, "execution_count": 18, @@ -1673,7 +1673,7 @@ "output_type": "stream", "text": [ "\n", - "DatetimeIndex: 17280 entries, 2020-01-01 00:00:00 to 2022-01-01 00:00:00\n", + "MultiIndex: 17280 entries, (Timestamp('2020-01-01 00:00:00'), 'tplm2') to (Timestamp('2022-01-01 00:00:00'), 'tplm2')\n", "Data columns (total 13 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", @@ -1691,7 +1691,7 @@ " 11 VIS 0 non-null float64\n", " 12 TIDE 0 non-null float64\n", "dtypes: float64(13)\n", - "memory usage: 1.8 MB\n" + "memory usage: 2.4+ MB\n" ] } ], @@ -1721,331 +1721,331 @@ { "data": { "text/plain": [ - "{'WDIR': {Timestamp('2020-01-01 00:00:00'): 188.0,\n", - " Timestamp('2020-01-01 01:00:00'): 273.0,\n", - " Timestamp('2020-01-01 02:00:00'): 286.0,\n", - " Timestamp('2020-01-01 03:00:00'): 278.0,\n", - " Timestamp('2020-01-01 04:00:00'): 293.0,\n", - " Timestamp('2020-01-01 05:00:00'): 297.0,\n", - " Timestamp('2020-01-01 06:00:00'): 296.0,\n", - " Timestamp('2020-01-01 07:00:00'): 287.0,\n", - " Timestamp('2020-01-01 08:00:00'): 287.0,\n", - " Timestamp('2020-01-01 09:00:00'): 282.0,\n", - " Timestamp('2020-01-01 10:00:00'): 286.0,\n", - " Timestamp('2020-01-01 11:00:00'): 276.0,\n", - " Timestamp('2020-01-01 12:00:00'): 271.0,\n", - " Timestamp('2020-01-01 13:00:00'): 275.0,\n", - " Timestamp('2020-01-01 14:00:00'): 266.0,\n", - " Timestamp('2020-01-01 15:00:00'): 269.0,\n", - " Timestamp('2020-01-01 16:00:00'): 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timestamp2020-01-01 00:00:002020-01-01 01:00:002020-01-01 02:00:00
station_idtplm2tplm2tplm2
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1011.3 1011.5 1011.8\n", + "ATMP 10.5 10.1 8.5\n", + "WTMP NaN NaN NaN\n", + "DEWP NaN NaN NaN\n", + "VIS NaN NaN NaN\n", + "TIDE NaN NaN NaN" ] }, "execution_count": 22, @@ -2227,7 +2229,7 @@ } ], "source": [ - "df_annapolis_met.loc[df_annapolis_met.station_id == 'apam2'].head(3)" + "df_annapolis_met.xs('tplm2', level='station_id').head(3).T" ] }, { @@ -2240,25 +2242,24 @@ "output_type": "stream", "text": [ "\n", - "DatetimeIndex: 262327 entries, 2023-01-01 00:00:00 to 2024-01-01 00:00:00\n", - "Data columns (total 14 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 station_id 262327 non-null object \n", - " 1 WDIR 174972 non-null float64\n", - " 2 WSPD 175498 non-null float64\n", - " 3 GST 175434 non-null float64\n", - " 4 WVHT 60238 non-null float64\n", - " 5 DPD 60238 non-null float64\n", - " 6 APD 0 non-null float64\n", - " 7 MWD 0 non-null float64\n", - " 8 PRES 113842 non-null float64\n", - " 9 ATMP 257523 non-null float64\n", - " 10 WTMP 166710 non-null float64\n", - " 11 DEWP 82673 non-null float64\n", - " 12 VIS 34757 non-null float64\n", - " 13 TIDE 0 non-null float64\n", - "dtypes: float64(13), object(1)\n", + "MultiIndex: 262327 entries, (Timestamp('2023-01-01 00:00:00'), 'tplm2') to (Timestamp('2024-01-01 00:00:00'), 'apam2')\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 WDIR 174972 non-null float64\n", + " 1 WSPD 175498 non-null float64\n", + " 2 GST 175434 non-null float64\n", + " 3 WVHT 60238 non-null float64\n", + " 4 DPD 60238 non-null float64\n", + " 5 APD 0 non-null float64\n", + " 6 MWD 0 non-null float64\n", + " 7 PRES 113842 non-null float64\n", + " 8 ATMP 257523 non-null float64\n", + " 9 WTMP 166710 non-null float64\n", + " 10 DEWP 82673 non-null float64\n", + " 11 VIS 34757 non-null float64\n", + " 12 TIDE 0 non-null float64\n", + "dtypes: float64(13)\n", "memory usage: 30.0+ MB\n" ] } @@ -2282,28034 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Timestamp('2023-02-06 08:00:00'): nan,\n", - " Timestamp('2023-02-06 09:00:00'): nan,\n", - " Timestamp('2023-02-06 10:00:00'): nan,\n", - " Timestamp('2023-02-06 11:00:00'): nan,\n", - " Timestamp('2023-02-06 12:00:00'): nan,\n", - " Timestamp('2023-02-06 13:00:00'): nan,\n", - " Timestamp('2023-02-06 14:00:00'): nan,\n", - " Timestamp('2023-02-06 15:00:00'): nan,\n", - " Timestamp('2023-02-06 16:00:00'): nan,\n", - " Timestamp('2023-02-06 17:00:00'): nan,\n", - " Timestamp('2023-02-06 18:00:00'): nan,\n", - " Timestamp('2023-02-06 19:00:00'): nan,\n", - " Timestamp('2023-02-06 20:00:00'): nan,\n", - " Timestamp('2023-02-06 21:00:00'): nan,\n", - " Timestamp('2023-02-06 22:00:00'): nan,\n", - " Timestamp('2023-02-06 23:00:00'): nan,\n", - " Timestamp('2023-02-07 00:00:00'): nan,\n", - " Timestamp('2023-02-07 01:00:00'): nan,\n", - " Timestamp('2023-02-07 02:00:00'): nan,\n", - " Timestamp('2023-02-07 03:00:00'): nan,\n", - " Timestamp('2023-02-07 04:00:00'): nan,\n", - " Timestamp('2023-02-07 05:00:00'): nan,\n", - " Timestamp('2023-02-07 06:00:00'): nan,\n", - " Timestamp('2023-02-07 07:00:00'): nan,\n", - " Timestamp('2023-02-07 08:00:00'): nan,\n", - " Timestamp('2023-02-07 09:00:00'): nan,\n", - " Timestamp('2023-02-07 10:00:00'): nan,\n", - " Timestamp('2023-02-07 11:00:00'): nan,\n", - " Timestamp('2023-02-07 12:00:00'): nan,\n", - " Timestamp('2023-02-07 13:00:00'): nan,\n", - " Timestamp('2023-02-07 14:00:00'): nan,\n", - " Timestamp('2023-02-07 15:00:00'): nan,\n", - " Timestamp('2023-02-07 16:00:00'): nan,\n", - " Timestamp('2023-02-07 17:00:00'): nan,\n", - " Timestamp('2023-02-07 18:00:00'): nan,\n", - " Timestamp('2023-02-07 19:00:00'): nan,\n", - " Timestamp('2023-02-07 20:00:00'): nan,\n", - " Timestamp('2023-02-07 21:00:00'): nan,\n", - " Timestamp('2023-02-07 22:00:00'): nan,\n", - " Timestamp('2023-02-07 23:00:00'): nan,\n", - " Timestamp('2023-02-08 00:00:00'): nan,\n", - " Timestamp('2023-02-08 01:00:00'): nan,\n", - " Timestamp('2023-02-08 02:00:00'): nan,\n", - " Timestamp('2023-02-08 03:00:00'): nan,\n", - " Timestamp('2023-02-08 04:00:00'): nan,\n", - " Timestamp('2023-02-08 05:00:00'): nan,\n", - " Timestamp('2023-02-08 06:00:00'): nan,\n", - " Timestamp('2023-02-08 07:00:00'): nan,\n", - " Timestamp('2023-02-08 08:00:00'): nan,\n", - " Timestamp('2023-02-08 09:00:00'): nan,\n", - " Timestamp('2023-02-08 10:00:00'): nan,\n", - " Timestamp('2023-02-08 11:00:00'): nan,\n", - " Timestamp('2023-02-08 12:00:00'): nan,\n", - " Timestamp('2023-02-08 13:00:00'): nan,\n", - " Timestamp('2023-02-08 14:00:00'): nan,\n", - " Timestamp('2023-02-08 15:00:00'): nan,\n", - " Timestamp('2023-02-08 16:00:00'): nan,\n", - " Timestamp('2023-02-08 17:00:00'): nan,\n", - " Timestamp('2023-02-08 18:00:00'): nan,\n", - " Timestamp('2023-02-08 19:00:00'): nan,\n", - " Timestamp('2023-02-08 20:00:00'): nan,\n", - " Timestamp('2023-02-08 21:00:00'): nan,\n", - " Timestamp('2023-02-08 22:00:00'): nan,\n", - " Timestamp('2023-02-08 23:00:00'): nan,\n", - " Timestamp('2023-02-09 00:00:00'): nan,\n", - " Timestamp('2023-02-09 01:00:00'): nan,\n", - " Timestamp('2023-02-09 02:00:00'): nan,\n", - " Timestamp('2023-02-09 03:00:00'): nan,\n", - " Timestamp('2023-02-09 04:00:00'): nan,\n", - " Timestamp('2023-02-09 05:00:00'): nan,\n", - " Timestamp('2023-02-09 06:00:00'): nan,\n", - " Timestamp('2023-02-09 07:00:00'): nan,\n", - " Timestamp('2023-02-09 08:00:00'): nan,\n", - " Timestamp('2023-02-09 09:00:00'): nan,\n", - " Timestamp('2023-02-09 10:00:00'): nan,\n", - " Timestamp('2023-02-09 11:00:00'): nan,\n", - " Timestamp('2023-02-09 12:00:00'): nan,\n", - " Timestamp('2023-02-09 13:00:00'): nan,\n", - " Timestamp('2023-02-09 14:00:00'): nan,\n", - " Timestamp('2023-02-09 15:00:00'): nan,\n", - " Timestamp('2023-02-09 16:00:00'): nan,\n", - " Timestamp('2023-02-09 17:00:00'): nan,\n", - " Timestamp('2023-02-09 18:00:00'): nan,\n", - " Timestamp('2023-02-09 19:00:00'): nan,\n", - " 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Timestamp('2023-02-10 18:00:00'): nan,\n", - " Timestamp('2023-02-10 19:00:00'): nan,\n", - " Timestamp('2023-02-10 20:00:00'): nan,\n", - " Timestamp('2023-02-10 21:00:00'): nan,\n", - " Timestamp('2023-02-10 22:00:00'): nan,\n", - " Timestamp('2023-02-10 23:00:00'): nan,\n", - " Timestamp('2023-02-11 00:00:00'): nan,\n", - " Timestamp('2023-02-11 01:00:00'): nan,\n", - " Timestamp('2023-02-11 02:00:00'): nan,\n", - " Timestamp('2023-02-11 03:00:00'): nan,\n", - " Timestamp('2023-02-11 04:00:00'): nan,\n", - " Timestamp('2023-02-11 05:00:00'): nan,\n", - " Timestamp('2023-02-11 06:00:00'): nan,\n", - " Timestamp('2023-02-11 07:00:00'): nan,\n", - " Timestamp('2023-02-11 08:00:00'): nan,\n", - " Timestamp('2023-02-11 09:00:00'): nan,\n", - " Timestamp('2023-02-11 10:00:00'): nan,\n", - " Timestamp('2023-02-11 11:00:00'): nan,\n", - " Timestamp('2023-02-11 12:00:00'): nan,\n", - " Timestamp('2023-02-11 13:00:00'): nan,\n", - " Timestamp('2023-02-11 14:00:00'): nan,\n", - " 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20:24:00'): 1008.4,\n", - " Timestamp('2023-01-04 20:30:00'): 1008.6,\n", - " Timestamp('2023-01-04 20:36:00'): 1008.4,\n", - " Timestamp('2023-01-04 20:42:00'): 1008.5,\n", - " Timestamp('2023-01-04 20:48:00'): 1008.3,\n", - " Timestamp('2023-01-04 20:54:00'): 1008.2,\n", - " Timestamp('2023-01-04 21:00:00'): 1008.2,\n", - " Timestamp('2023-01-04 21:06:00'): 1008.5,\n", - " Timestamp('2023-01-04 21:12:00'): 1008.8,\n", - " Timestamp('2023-01-04 21:18:00'): 1008.7,\n", - " Timestamp('2023-01-04 21:24:00'): 1008.8,\n", - " Timestamp('2023-01-04 21:30:00'): 1008.9,\n", - " Timestamp('2023-01-04 21:36:00'): 1009.0,\n", - " Timestamp('2023-01-04 21:42:00'): 1009.6,\n", - " Timestamp('2023-01-04 21:48:00'): 1009.8,\n", - " Timestamp('2023-01-04 21:54:00'): 1009.6,\n", - " Timestamp('2023-01-04 22:00:00'): 1009.2,\n", - " Timestamp('2023-01-04 22:06:00'): 1009.0,\n", - " Timestamp('2023-01-04 22:12:00'): 1008.9,\n", - " Timestamp('2023-01-04 22:18:00'): 1008.9,\n", - " Timestamp('2023-01-04 22:24:00'): 1008.7,\n", - " Timestamp('2023-01-04 22:30:00'): 1008.6,\n", - " Timestamp('2023-01-04 22:36:00'): 1008.5,\n", - " Timestamp('2023-01-04 22:42:00'): 1008.5,\n", - " Timestamp('2023-01-04 22:48:00'): 1008.7,\n", - " Timestamp('2023-01-04 22:54:00'): 1008.6,\n", - " Timestamp('2023-01-04 23:00:00'): 1008.6,\n", - " Timestamp('2023-01-04 23:06:00'): 1008.6,\n", - " Timestamp('2023-01-04 23:12:00'): 1008.7,\n", - " Timestamp('2023-01-04 23:18:00'): 1008.6,\n", - " Timestamp('2023-01-04 23:24:00'): 1008.4,\n", - " Timestamp('2023-01-04 23:30:00'): 1008.2,\n", - " Timestamp('2023-01-04 23:36:00'): 1008.0,\n", - " Timestamp('2023-01-04 23:42:00'): 1007.8,\n", - " Timestamp('2023-01-04 23:48:00'): 1007.7,\n", - " Timestamp('2023-01-04 23:54:00'): 1007.6,\n", - " Timestamp('2023-01-05 00:00:00'): 1007.6,\n", - " Timestamp('2023-01-05 00:06:00'): 1007.6,\n", - " Timestamp('2023-01-05 00:12:00'): 1007.6,\n", - " Timestamp('2023-01-05 00:18:00'): 1007.8,\n", - " Timestamp('2023-01-05 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Timestamp('2023-01-14 11:00:00'): 10.4,\n", + " Timestamp('2023-01-14 12:00:00'): 9.7,\n", + " Timestamp('2023-01-14 13:00:00'): 8.8,\n", + " Timestamp('2023-01-14 14:00:00'): 11.5,\n", + " Timestamp('2023-01-14 15:00:00'): 9.9,\n", + " Timestamp('2023-01-14 16:00:00'): 12.1,\n", + " Timestamp('2023-01-14 17:00:00'): 11.5,\n", + " Timestamp('2023-01-14 18:00:00'): 10.2,\n", + " Timestamp('2023-01-14 19:00:00'): 10.8,\n", + " Timestamp('2023-01-14 20:00:00'): 10.3,\n", + " Timestamp('2023-01-14 21:00:00'): 11.3,\n", + " Timestamp('2023-01-14 22:00:00'): 11.7,\n", + " Timestamp('2023-01-14 23:00:00'): 10.7,\n", + " Timestamp('2023-01-15 00:00:00'): 11.1,\n", + " Timestamp('2023-01-15 01:00:00'): 13.3,\n", + " Timestamp('2023-01-15 02:00:00'): 12.3,\n", + " Timestamp('2023-01-15 03:00:00'): 10.1,\n", + " Timestamp('2023-01-15 04:00:00'): 10.5,\n", + " Timestamp('2023-01-15 05:00:00'): 10.6,\n", + " Timestamp('2023-01-15 06:00:00'): 11.9,\n", + " Timestamp('2023-01-15 07:00:00'): 11.3,\n", 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Timestamp('2023-01-16 05:00:00'): 5.0,\n", + " Timestamp('2023-01-16 06:00:00'): 5.0,\n", + " Timestamp('2023-01-16 07:00:00'): 5.8,\n", + " Timestamp('2023-01-16 08:00:00'): 4.2,\n", + " Timestamp('2023-01-16 09:00:00'): 6.0,\n", + " Timestamp('2023-01-16 10:00:00'): 4.3,\n", + " Timestamp('2023-01-16 11:00:00'): 3.0,\n", + " Timestamp('2023-01-16 12:00:00'): 4.4,\n", + " Timestamp('2023-01-16 13:00:00'): 3.2,\n", + " Timestamp('2023-01-16 14:00:00'): 5.6,\n", + " Timestamp('2023-01-16 15:00:00'): 3.2,\n", + " Timestamp('2023-01-16 16:00:00'): 5.0,\n", + " Timestamp('2023-01-16 17:00:00'): 6.5,\n", + " Timestamp('2023-01-16 18:00:00'): 6.0,\n", + " Timestamp('2023-01-16 19:00:00'): 5.5,\n", + " Timestamp('2023-01-16 20:00:00'): 6.0,\n", + " Timestamp('2023-01-16 21:00:00'): 7.6,\n", + " Timestamp('2023-01-16 22:00:00'): 5.3,\n", + " Timestamp('2023-01-16 23:00:00'): 4.6,\n", + " Timestamp('2023-01-17 00:00:00'): 3.4,\n", + " Timestamp('2023-01-17 01:00:00'): 3.6,\n", + " Timestamp('2023-01-17 02:00:00'): 2.4,\n", + " Timestamp('2023-01-17 03:00:00'): 3.9,\n", + " Timestamp('2023-01-17 04:00:00'): 3.4,\n", + " Timestamp('2023-01-17 05:00:00'): 1.9,\n", + " Timestamp('2023-01-17 06:00:00'): 1.3,\n", + " Timestamp('2023-01-17 07:00:00'): 2.3,\n", + " Timestamp('2023-01-17 08:00:00'): 4.0,\n", + " Timestamp('2023-01-17 09:00:00'): 1.6,\n", + " Timestamp('2023-01-17 10:00:00'): 3.8,\n", + " Timestamp('2023-01-17 11:00:00'): 3.4,\n", + " Timestamp('2023-01-17 12:00:00'): 5.3,\n", + " Timestamp('2023-01-17 13:00:00'): 4.9,\n", + " Timestamp('2023-01-17 14:00:00'): 3.7,\n", + " Timestamp('2023-01-17 15:00:00'): 4.4,\n", + " Timestamp('2023-01-17 16:00:00'): 4.5,\n", + " Timestamp('2023-01-17 17:00:00'): 5.3,\n", + " Timestamp('2023-01-17 18:00:00'): 3.3,\n", + " Timestamp('2023-01-17 19:00:00'): 4.3,\n", + " Timestamp('2023-01-17 20:00:00'): 4.7,\n", + " Timestamp('2023-01-17 21:00:00'): 3.7,\n", + " Timestamp('2023-01-17 22:00:00'): 2.8,\n", + " Timestamp('2023-01-17 23:00:00'): 3.0,\n", + " Timestamp('2023-01-18 00:00:00'): 1.6,\n", + " Timestamp('2023-01-18 01:00:00'): 0.9,\n", + " Timestamp('2023-01-18 02:00:00'): 2.8,\n", + " Timestamp('2023-01-18 03:00:00'): 4.7,\n", + " Timestamp('2023-01-18 04:00:00'): 1.4,\n", + " Timestamp('2023-01-18 05:00:00'): 7.1,\n", + " Timestamp('2023-01-18 06:00:00'): 2.2,\n", + " Timestamp('2023-01-18 07:00:00'): 3.4,\n", + " Timestamp('2023-01-18 08:00:00'): 3.6,\n", + " Timestamp('2023-01-18 09:00:00'): 3.3,\n", + " Timestamp('2023-01-18 10:00:00'): 4.0,\n", + " Timestamp('2023-01-18 11:00:00'): 4.2,\n", + " Timestamp('2023-01-18 12:00:00'): 4.6,\n", + " Timestamp('2023-01-18 13:00:00'): 5.6,\n", + " Timestamp('2023-01-18 14:00:00'): 3.0,\n", + " Timestamp('2023-01-18 15:00:00'): 4.9,\n", + " Timestamp('2023-01-18 16:00:00'): 6.3,\n", + " Timestamp('2023-01-18 17:00:00'): 7.0,\n", + " Timestamp('2023-01-18 18:00:00'): 8.0,\n", + " Timestamp('2023-01-18 19:00:00'): 9.5,\n", + " Timestamp('2023-01-18 20:00:00'): 7.5,\n", + " Timestamp('2023-01-18 21:00:00'): 6.6,\n", + " Timestamp('2023-01-18 22:00:00'): 5.4,\n", + " Timestamp('2023-01-18 23:00:00'): 6.1,\n", + " Timestamp('2023-01-19 00:00:00'): 4.0,\n", + " Timestamp('2023-01-19 01:00:00'): 5.1,\n", + " Timestamp('2023-01-19 02:00:00'): 3.2,\n", + " Timestamp('2023-01-19 03:00:00'): 4.2,\n", + " Timestamp('2023-01-19 04:00:00'): 1.5,\n", + " Timestamp('2023-01-19 05:00:00'): 2.8,\n", + " Timestamp('2023-01-19 06:00:00'): 1.7,\n", + " Timestamp('2023-01-19 07:00:00'): 0.3,\n", + " Timestamp('2023-01-19 08:00:00'): 1.1,\n", + " Timestamp('2023-01-19 09:00:00'): 1.9,\n", + " Timestamp('2023-01-19 10:00:00'): 1.2,\n", + " Timestamp('2023-01-19 11:00:00'): 0.1,\n", + " Timestamp('2023-01-19 12:00:00'): 1.2,\n", + " Timestamp('2023-01-19 13:00:00'): 3.2,\n", + " Timestamp('2023-01-19 14:00:00'): 0.7,\n", + " Timestamp('2023-01-19 15:00:00'): 3.6,\n", + " Timestamp('2023-01-19 16:00:00'): 2.7,\n", + " Timestamp('2023-01-19 17:00:00'): 2.9,\n", + " Timestamp('2023-01-19 18:00:00'): 0.6,\n", + " Timestamp('2023-01-19 19:00:00'): 0.9,\n", + " Timestamp('2023-01-19 20:00:00'): 2.0,\n", + " Timestamp('2023-01-19 21:00:00'): 4.5,\n", + " Timestamp('2023-01-19 22:00:00'): 3.4,\n", + " Timestamp('2023-01-19 23:00:00'): 3.1,\n", + " Timestamp('2023-01-20 00:00:00'): 3.2,\n", + " Timestamp('2023-01-20 01:00:00'): 1.2,\n", + " Timestamp('2023-01-20 02:00:00'): 3.8,\n", + " Timestamp('2023-01-20 03:00:00'): 1.6,\n", + " Timestamp('2023-01-20 04:00:00'): 2.7,\n", + " Timestamp('2023-01-20 05:00:00'): 2.1,\n", + " Timestamp('2023-01-20 06:00:00'): 2.4,\n", + " Timestamp('2023-01-20 07:00:00'): 2.2,\n", + " Timestamp('2023-01-20 08:00:00'): 2.8,\n", + " Timestamp('2023-01-20 09:00:00'): 3.7,\n", + " Timestamp('2023-01-20 10:00:00'): 1.6,\n", + " Timestamp('2023-01-20 11:00:00'): 2.8,\n", + " Timestamp('2023-01-20 12:00:00'): 3.2,\n", + " Timestamp('2023-01-20 13:00:00'): 3.1,\n", + " Timestamp('2023-01-20 14:00:00'): 7.4,\n", + " Timestamp('2023-01-20 15:00:00'): 17.0,\n", + " Timestamp('2023-01-20 16:00:00'): 9.3,\n", + " Timestamp('2023-01-20 17:00:00'): 11.6,\n", + " Timestamp('2023-01-20 18:00:00'): 11.2,\n", + " Timestamp('2023-01-20 19:00:00'): 10.8,\n", + " Timestamp('2023-01-20 20:00:00'): 10.7,\n", + " Timestamp('2023-01-20 21:00:00'): 12.4,\n", + " Timestamp('2023-01-20 22:00:00'): 11.0,\n", + " Timestamp('2023-01-20 23:00:00'): 8.1,\n", + " Timestamp('2023-01-21 00:00:00'): 8.4,\n", + " Timestamp('2023-01-21 01:00:00'): 7.3,\n", + " Timestamp('2023-01-21 02:00:00'): 8.2,\n", + " Timestamp('2023-01-21 03:00:00'): 9.5,\n", + " Timestamp('2023-01-21 04:00:00'): 8.1,\n", + " Timestamp('2023-01-21 05:00:00'): 7.3,\n", + " Timestamp('2023-01-21 06:00:00'): 6.4,\n", + " Timestamp('2023-01-21 07:00:00'): 5.8,\n", + " Timestamp('2023-01-21 08:00:00'): 4.7,\n", + " Timestamp('2023-01-21 09:00:00'): 7.5,\n", + " Timestamp('2023-01-21 10:00:00'): 6.7,\n", + " Timestamp('2023-01-21 11:00:00'): 6.4,\n", + " Timestamp('2023-01-21 12:00:00'): 6.7,\n", + " Timestamp('2023-01-21 13:00:00'): 6.1,\n", + " Timestamp('2023-01-21 14:00:00'): 4.9,\n", + " Timestamp('2023-01-21 15:00:00'): 4.6,\n", + " Timestamp('2023-01-21 16:00:00'): 6.0,\n", + " Timestamp('2023-01-21 17:00:00'): 6.6,\n", + " Timestamp('2023-01-21 18:00:00'): 7.1,\n", + " Timestamp('2023-01-21 19:00:00'): 5.6,\n", + " Timestamp('2023-01-21 20:00:00'): 4.9,\n", + " Timestamp('2023-01-21 21:00:00'): 3.0,\n", + " Timestamp('2023-01-21 22:00:00'): 2.3,\n", + " Timestamp('2023-01-21 23:00:00'): 2.2,\n", + " Timestamp('2023-01-22 00:00:00'): 1.9,\n", + " Timestamp('2023-01-22 01:00:00'): 1.5,\n", + " Timestamp('2023-01-22 02:00:00'): 2.3,\n", + " Timestamp('2023-01-22 03:00:00'): 0.1,\n", + " Timestamp('2023-01-22 04:00:00'): 1.8,\n", + " Timestamp('2023-01-22 05:00:00'): 2.0,\n", + " Timestamp('2023-01-22 06:00:00'): 2.4,\n", + " Timestamp('2023-01-22 07:00:00'): 3.6,\n", + " Timestamp('2023-01-22 08:00:00'): 4.9,\n", + " Timestamp('2023-01-22 09:00:00'): 5.1,\n", + " Timestamp('2023-01-22 10:00:00'): 5.9,\n", + " Timestamp('2023-01-22 11:00:00'): 5.7,\n", + " Timestamp('2023-01-22 12:00:00'): 7.2,\n", + " Timestamp('2023-01-22 13:00:00'): 5.5,\n", + " Timestamp('2023-01-22 14:00:00'): 6.2,\n", + " Timestamp('2023-01-22 15:00:00'): 5.8,\n", + " Timestamp('2023-01-22 16:00:00'): 6.4,\n", + " Timestamp('2023-01-22 17:00:00'): 4.1,\n", + " Timestamp('2023-01-22 18:00:00'): 5.1,\n", + " Timestamp('2023-01-22 19:00:00'): 3.2,\n", + " Timestamp('2023-01-22 20:00:00'): 4.5,\n", + " Timestamp('2023-01-22 21:00:00'): 3.0,\n", + " Timestamp('2023-01-22 22:00:00'): 3.4,\n", + " Timestamp('2023-01-22 23:00:00'): 2.8,\n", + " Timestamp('2023-01-23 00:00:00'): 5.3,\n", + " Timestamp('2023-01-23 01:00:00'): 7.5,\n", + " Timestamp('2023-01-23 02:00:00'): 6.9,\n", + " Timestamp('2023-01-23 03:00:00'): 6.3,\n", + " Timestamp('2023-01-23 04:00:00'): 7.3,\n", + " Timestamp('2023-01-23 05:00:00'): 5.6,\n", + " Timestamp('2023-01-23 06:00:00'): 4.8,\n", + " Timestamp('2023-01-23 07:00:00'): 4.9,\n", + " Timestamp('2023-01-23 08:00:00'): 6.1,\n", + " Timestamp('2023-01-23 09:00:00'): 3.9,\n", + " Timestamp('2023-01-23 10:00:00'): 4.4,\n", + " Timestamp('2023-01-23 11:00:00'): 6.3,\n", + " Timestamp('2023-01-23 12:00:00'): 7.3,\n", + " Timestamp('2023-01-23 13:00:00'): 6.4,\n", + " Timestamp('2023-01-23 14:00:00'): 7.0,\n", + " Timestamp('2023-01-23 15:00:00'): 8.4,\n", + " Timestamp('2023-01-23 16:00:00'): 9.5,\n", + " Timestamp('2023-01-23 17:00:00'): 10.6,\n", + " Timestamp('2023-01-23 18:00:00'): 11.0,\n", + " Timestamp('2023-01-23 19:00:00'): 9.4,\n", + " Timestamp('2023-01-23 20:00:00'): 11.3,\n", + " Timestamp('2023-01-23 21:00:00'): 10.2,\n", + " Timestamp('2023-01-23 22:00:00'): 13.5,\n", + " Timestamp('2023-01-23 23:00:00'): 10.5,\n", + " Timestamp('2023-01-24 00:00:00'): 12.4,\n", + " Timestamp('2023-01-24 01:00:00'): 11.9,\n", + " Timestamp('2023-01-24 02:00:00'): 10.8,\n", + " Timestamp('2023-01-24 03:00:00'): 6.9,\n", + " Timestamp('2023-01-24 04:00:00'): 6.2,\n", + " Timestamp('2023-01-24 05:00:00'): 6.7,\n", + " Timestamp('2023-01-24 06:00:00'): 8.0,\n", + " Timestamp('2023-01-24 07:00:00'): 4.6,\n", + " Timestamp('2023-01-24 08:00:00'): 6.9,\n", + " Timestamp('2023-01-24 09:00:00'): 4.3,\n", + " Timestamp('2023-01-24 10:00:00'): 4.5,\n", + " Timestamp('2023-01-24 11:00:00'): 4.6,\n", + " Timestamp('2023-01-24 12:00:00'): 6.3,\n", + " Timestamp('2023-01-24 13:00:00'): 5.1,\n", + " Timestamp('2023-01-24 14:00:00'): 4.9,\n", + " Timestamp('2023-01-24 15:00:00'): 6.4,\n", + " Timestamp('2023-01-24 16:00:00'): 3.9,\n", + " Timestamp('2023-01-24 17:00:00'): 6.0,\n", + " Timestamp('2023-01-24 18:00:00'): 5.0,\n", + " Timestamp('2023-01-24 19:00:00'): 2.3,\n", + " Timestamp('2023-01-24 20:00:00'): 3.8,\n", + " Timestamp('2023-01-24 21:00:00'): 5.0,\n", + " Timestamp('2023-01-24 22:00:00'): 3.8,\n", + " 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Timestamp('2023-01-26 17:00:00'): 7.7,\n", + " Timestamp('2023-01-26 18:00:00'): 8.2,\n", + " Timestamp('2023-01-26 19:00:00'): 5.4,\n", + " Timestamp('2023-01-26 20:00:00'): 4.2,\n", + " Timestamp('2023-01-26 21:00:00'): 3.1,\n", + " Timestamp('2023-01-26 22:00:00'): 3.3,\n", + " Timestamp('2023-01-26 23:00:00'): 3.3,\n", + " Timestamp('2023-01-27 00:00:00'): 7.5,\n", + " Timestamp('2023-01-27 01:00:00'): 5.4,\n", + " Timestamp('2023-01-27 02:00:00'): 3.9,\n", + " Timestamp('2023-01-27 03:00:00'): 4.6,\n", + " Timestamp('2023-01-27 04:00:00'): 6.1,\n", + " Timestamp('2023-01-27 05:00:00'): 4.8,\n", + " Timestamp('2023-01-27 06:00:00'): 6.3,\n", + " Timestamp('2023-01-27 07:00:00'): 5.9,\n", + " Timestamp('2023-01-27 08:00:00'): 8.2,\n", + " Timestamp('2023-01-27 09:00:00'): 8.4,\n", + " Timestamp('2023-01-27 10:00:00'): 6.4,\n", + " Timestamp('2023-01-27 11:00:00'): 3.6,\n", + " Timestamp('2023-01-27 12:00:00'): 3.8,\n", + " Timestamp('2023-01-27 13:00:00'): 3.9,\n", + " 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Timestamp('2023-01-29 08:00:00'): 6.3,\n", + " Timestamp('2023-01-29 09:00:00'): 7.4,\n", + " Timestamp('2023-01-29 10:00:00'): 7.0,\n", + " Timestamp('2023-01-29 11:00:00'): 6.4,\n", + " Timestamp('2023-01-29 12:00:00'): 7.2,\n", + " Timestamp('2023-01-29 13:00:00'): 7.5,\n", + " Timestamp('2023-01-29 14:00:00'): 7.5,\n", + " Timestamp('2023-01-29 15:00:00'): 8.1,\n", + " Timestamp('2023-01-29 16:00:00'): 9.0,\n", + " Timestamp('2023-01-29 17:00:00'): 8.1,\n", + " Timestamp('2023-01-29 18:00:00'): 8.0,\n", + " Timestamp('2023-01-29 19:00:00'): 8.3,\n", + " Timestamp('2023-01-29 20:00:00'): 8.2,\n", + " Timestamp('2023-01-29 21:00:00'): 5.4,\n", + " Timestamp('2023-01-29 22:00:00'): 7.2,\n", + " Timestamp('2023-01-29 23:00:00'): 5.0,\n", + " Timestamp('2023-01-30 00:00:00'): 5.4,\n", + " Timestamp('2023-01-30 01:00:00'): 6.0,\n", + " Timestamp('2023-01-30 02:00:00'): 3.9,\n", + " Timestamp('2023-01-30 03:00:00'): 2.4,\n", + " Timestamp('2023-01-30 04:00:00'): 3.3,\n", + " Timestamp('2023-01-30 05:00:00'): 2.5,\n", + " Timestamp('2023-01-30 06:00:00'): 0.3,\n", + " Timestamp('2023-01-30 07:00:00'): 1.3,\n", + " Timestamp('2023-01-30 08:00:00'): 0.0,\n", + " Timestamp('2023-01-30 09:00:00'): 1.1,\n", + " Timestamp('2023-01-30 10:00:00'): 0.7,\n", + " Timestamp('2023-01-30 11:00:00'): 1.5,\n", + " Timestamp('2023-01-30 12:00:00'): 2.0,\n", + " Timestamp('2023-01-30 13:00:00'): 1.6,\n", + " Timestamp('2023-01-30 14:00:00'): 1.9,\n", + " Timestamp('2023-01-30 15:00:00'): 0.0,\n", + " Timestamp('2023-01-30 16:00:00'): 0.5,\n", + " Timestamp('2023-01-30 17:00:00'): 1.3,\n", + " Timestamp('2023-01-30 18:00:00'): 0.3,\n", + " Timestamp('2023-01-30 19:00:00'): 4.0,\n", + " Timestamp('2023-01-30 20:00:00'): 5.6,\n", + " Timestamp('2023-01-30 21:00:00'): 6.0,\n", + " Timestamp('2023-01-30 22:00:00'): 3.9,\n", + " Timestamp('2023-01-30 23:00:00'): 4.5,\n", + " Timestamp('2023-01-31 00:00:00'): 3.1,\n", + " Timestamp('2023-01-31 01:00:00'): 3.6,\n", + " Timestamp('2023-01-31 02:00:00'): 3.9,\n", + " Timestamp('2023-01-31 03:00:00'): 4.3,\n", + " Timestamp('2023-01-31 04:00:00'): 5.7,\n", + " Timestamp('2023-01-31 05:00:00'): 6.2,\n", + " Timestamp('2023-01-31 06:00:00'): 6.0,\n", + " Timestamp('2023-01-31 07:00:00'): 4.6,\n", + " Timestamp('2023-01-31 08:00:00'): 7.1,\n", + " Timestamp('2023-01-31 09:00:00'): 4.6,\n", + " Timestamp('2023-01-31 10:00:00'): 5.4,\n", + " Timestamp('2023-01-31 11:00:00'): 4.2,\n", + " Timestamp('2023-01-31 12:00:00'): 4.6,\n", + " Timestamp('2023-01-31 13:00:00'): 7.7,\n", + " Timestamp('2023-01-31 14:00:00'): 6.7,\n", + " Timestamp('2023-01-31 15:00:00'): 6.7,\n", + " Timestamp('2023-01-31 16:00:00'): 7.2,\n", + " Timestamp('2023-01-31 17:00:00'): 6.0,\n", + " Timestamp('2023-01-31 18:00:00'): 5.6,\n", + " Timestamp('2023-01-31 19:00:00'): 4.9,\n", + " Timestamp('2023-01-31 20:00:00'): 4.5,\n", + " Timestamp('2023-01-31 21:00:00'): 2.2,\n", + " Timestamp('2023-01-31 22:00:00'): 3.0,\n", + " Timestamp('2023-01-31 23:00:00'): 4.0,\n", + " Timestamp('2023-02-01 00:00:00'): 4.2,\n", + " Timestamp('2023-02-01 01:00:00'): 3.3,\n", + " Timestamp('2023-02-01 02:00:00'): 5.4,\n", + " Timestamp('2023-02-01 03:00:00'): 4.8,\n", + " Timestamp('2023-02-01 04:00:00'): 5.2,\n", + " Timestamp('2023-02-01 05:00:00'): 4.2,\n", + " Timestamp('2023-02-01 06:00:00'): 5.3,\n", + " Timestamp('2023-02-01 07:00:00'): 5.7,\n", + " Timestamp('2023-02-01 08:00:00'): 6.0,\n", + " Timestamp('2023-02-01 09:00:00'): 4.9,\n", + " Timestamp('2023-02-01 10:00:00'): 5.7,\n", + " Timestamp('2023-02-01 11:00:00'): 6.5,\n", + " Timestamp('2023-02-01 12:00:00'): 4.4,\n", + " Timestamp('2023-02-01 13:00:00'): 3.9,\n", + " Timestamp('2023-02-01 14:00:00'): 7.4,\n", + " Timestamp('2023-02-01 15:00:00'): 6.4,\n", + " Timestamp('2023-02-01 16:00:00'): 6.7,\n", + " Timestamp('2023-02-01 17:00:00'): 5.0,\n", + " Timestamp('2023-02-01 18:00:00'): 3.7,\n", + " Timestamp('2023-02-01 19:00:00'): 3.0,\n", + " 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Timestamp('2023-02-03 15:00:00'): 12.7,\n", + " Timestamp('2023-02-03 16:00:00'): 12.7,\n", + " Timestamp('2023-02-03 17:00:00'): 12.4,\n", + " Timestamp('2023-02-03 18:00:00'): 9.5,\n", + " Timestamp('2023-02-03 19:00:00'): 9.2,\n", + " Timestamp('2023-02-03 20:00:00'): 13.4,\n", + " Timestamp('2023-02-03 21:00:00'): 12.6,\n", + " Timestamp('2023-02-03 22:00:00'): 12.1,\n", + " Timestamp('2023-02-03 23:00:00'): 13.3,\n", + " Timestamp('2023-02-04 00:00:00'): 9.5,\n", + " Timestamp('2023-02-04 01:00:00'): 10.5,\n", + " Timestamp('2023-02-04 02:00:00'): 10.9,\n", + " Timestamp('2023-02-04 03:00:00'): 9.4,\n", + " Timestamp('2023-02-04 04:00:00'): 10.8,\n", + " Timestamp('2023-02-04 05:00:00'): 10.0,\n", + " Timestamp('2023-02-04 06:00:00'): 9.4,\n", + " Timestamp('2023-02-04 07:00:00'): 7.4,\n", + " Timestamp('2023-02-04 08:00:00'): 6.3,\n", + " Timestamp('2023-02-04 09:00:00'): 6.5,\n", + " Timestamp('2023-02-04 10:00:00'): 7.6,\n", + " Timestamp('2023-02-04 11:00:00'): 5.9,\n", + " Timestamp('2023-02-04 12:00:00'): 6.0,\n", + " Timestamp('2023-02-04 13:00:00'): 4.7,\n", + " Timestamp('2023-02-04 14:00:00'): 3.9,\n", + " Timestamp('2023-02-04 15:00:00'): 0.8,\n", + " Timestamp('2023-02-04 16:00:00'): 1.0,\n", + " Timestamp('2023-02-04 17:00:00'): 3.6,\n", + " Timestamp('2023-02-04 18:00:00'): 3.7,\n", + " Timestamp('2023-02-04 19:00:00'): 5.6,\n", + " Timestamp('2023-02-04 20:00:00'): 8.3,\n", + " Timestamp('2023-02-04 21:00:00'): 8.7,\n", + " Timestamp('2023-02-04 22:00:00'): 11.5,\n", + " Timestamp('2023-02-04 23:00:00'): 11.3,\n", + " Timestamp('2023-02-05 00:00:00'): 9.3,\n", + " Timestamp('2023-02-05 01:00:00'): 10.9,\n", + " Timestamp('2023-02-05 02:00:00'): 12.1,\n", + " Timestamp('2023-02-05 03:00:00'): 12.7,\n", + " Timestamp('2023-02-05 04:00:00'): 12.0,\n", + " Timestamp('2023-02-05 05:00:00'): 11.2,\n", + " Timestamp('2023-02-05 06:00:00'): 11.9,\n", + " Timestamp('2023-02-05 07:00:00'): 10.0,\n", + " Timestamp('2023-02-05 08:00:00'): 9.0,\n", + " Timestamp('2023-02-05 09:00:00'): 8.8,\n", + " Timestamp('2023-02-05 10:00:00'): 8.3,\n", + " Timestamp('2023-02-05 11:00:00'): 8.2,\n", + " Timestamp('2023-02-05 12:00:00'): 8.1,\n", + " Timestamp('2023-02-05 13:00:00'): 6.9,\n", + " Timestamp('2023-02-05 14:00:00'): 6.9,\n", + " Timestamp('2023-02-05 15:00:00'): 6.6,\n", + " Timestamp('2023-02-05 16:00:00'): 8.5,\n", + " Timestamp('2023-02-05 17:00:00'): 8.4,\n", + " Timestamp('2023-02-05 18:00:00'): 8.6,\n", + " Timestamp('2023-02-05 19:00:00'): 6.6,\n", + " Timestamp('2023-02-05 20:00:00'): 8.8,\n", + " Timestamp('2023-02-05 21:00:00'): 9.2,\n", + " Timestamp('2023-02-05 22:00:00'): 9.3,\n", + " Timestamp('2023-02-05 23:00:00'): 7.2,\n", + " Timestamp('2023-02-06 00:00:00'): 8.3,\n", + " Timestamp('2023-02-06 01:00:00'): 8.3,\n", + " Timestamp('2023-02-06 02:00:00'): 2.9,\n", + " Timestamp('2023-02-06 03:00:00'): 5.0,\n", + " Timestamp('2023-02-06 04:00:00'): 4.5,\n", + " Timestamp('2023-02-06 05:00:00'): 4.9,\n", + " Timestamp('2023-02-06 06:00:00'): 3.1,\n", + " Timestamp('2023-02-06 07:00:00'): 4.6,\n", + " Timestamp('2023-02-06 08:00:00'): 8.1,\n", + " Timestamp('2023-02-06 09:00:00'): 6.7,\n", + " Timestamp('2023-02-06 10:00:00'): 4.6,\n", + " Timestamp('2023-02-06 11:00:00'): 4.4,\n", + " Timestamp('2023-02-06 12:00:00'): 6.1,\n", + " Timestamp('2023-02-06 13:00:00'): 6.2,\n", + " Timestamp('2023-02-06 14:00:00'): 4.1,\n", + " Timestamp('2023-02-06 15:00:00'): 4.5,\n", + " Timestamp('2023-02-06 16:00:00'): 10.9,\n", + " Timestamp('2023-02-06 17:00:00'): 8.8,\n", + " Timestamp('2023-02-06 18:00:00'): 10.8,\n", + " Timestamp('2023-02-06 19:00:00'): 8.6,\n", + " Timestamp('2023-02-06 20:00:00'): 9.3,\n", + " Timestamp('2023-02-06 21:00:00'): 8.9,\n", + " Timestamp('2023-02-06 22:00:00'): 7.0,\n", + " Timestamp('2023-02-06 23:00:00'): 5.2,\n", + " Timestamp('2023-02-07 00:00:00'): 5.3,\n", + " Timestamp('2023-02-07 01:00:00'): 3.3,\n", + " Timestamp('2023-02-07 02:00:00'): 6.7,\n", + " Timestamp('2023-02-07 03:00:00'): 5.8,\n", + " Timestamp('2023-02-07 04:00:00'): 4.8,\n", + " Timestamp('2023-02-07 05:00:00'): 4.4,\n", + " Timestamp('2023-02-07 06:00:00'): 3.7,\n", + " Timestamp('2023-02-07 07:00:00'): 2.2,\n", + " Timestamp('2023-02-07 08:00:00'): 2.6,\n", + " Timestamp('2023-02-07 09:00:00'): 1.4,\n", + " Timestamp('2023-02-07 10:00:00'): 1.3,\n", + " Timestamp('2023-02-07 11:00:00'): 3.2,\n", + " Timestamp('2023-02-07 12:00:00'): 1.3,\n", + " Timestamp('2023-02-07 13:00:00'): 1.6,\n", + " Timestamp('2023-02-07 14:00:00'): 2.2,\n", + " Timestamp('2023-02-07 15:00:00'): 3.1,\n", + " Timestamp('2023-02-07 16:00:00'): 3.1,\n", + " Timestamp('2023-02-07 17:00:00'): 5.0,\n", + " Timestamp('2023-02-07 18:00:00'): 5.8,\n", + " Timestamp('2023-02-07 19:00:00'): 6.3,\n", + " Timestamp('2023-02-07 20:00:00'): 8.4,\n", + " Timestamp('2023-02-07 21:00:00'): 8.4,\n", + " Timestamp('2023-02-07 22:00:00'): 7.0,\n", + " Timestamp('2023-02-07 23:00:00'): 6.9,\n", + " Timestamp('2023-02-08 00:00:00'): 7.8,\n", + " Timestamp('2023-02-08 01:00:00'): 7.3,\n", + " Timestamp('2023-02-08 02:00:00'): 6.9,\n", + " Timestamp('2023-02-08 03:00:00'): 4.6,\n", + " Timestamp('2023-02-08 04:00:00'): 5.4,\n", + " Timestamp('2023-02-08 05:00:00'): 3.0,\n", + " Timestamp('2023-02-08 06:00:00'): 0.9,\n", + " Timestamp('2023-02-08 07:00:00'): 4.6,\n", + " Timestamp('2023-02-08 08:00:00'): 0.9,\n", + " Timestamp('2023-02-08 09:00:00'): 1.7,\n", + " Timestamp('2023-02-08 10:00:00'): 1.3,\n", + " Timestamp('2023-02-08 11:00:00'): 0.8,\n", + " Timestamp('2023-02-08 12:00:00'): 1.2,\n", + " Timestamp('2023-02-08 13:00:00'): 0.8,\n", + " Timestamp('2023-02-08 14:00:00'): 2.7,\n", + " Timestamp('2023-02-08 15:00:00'): 2.1,\n", + " Timestamp('2023-02-08 16:00:00'): 1.7,\n", + " Timestamp('2023-02-08 17:00:00'): 7.2,\n", + " Timestamp('2023-02-08 18:00:00'): 6.3,\n", + " Timestamp('2023-02-08 19:00:00'): 5.1,\n", + " Timestamp('2023-02-08 20:00:00'): 5.8,\n", + " Timestamp('2023-02-08 21:00:00'): 6.0,\n", + " Timestamp('2023-02-08 22:00:00'): 3.9,\n", + " Timestamp('2023-02-08 23:00:00'): 3.8,\n", + " Timestamp('2023-02-09 00:00:00'): 5.1,\n", + " Timestamp('2023-02-09 01:00:00'): 2.9,\n", + " Timestamp('2023-02-09 02:00:00'): 2.9,\n", + " Timestamp('2023-02-09 03:00:00'): 2.3,\n", + " Timestamp('2023-02-09 04:00:00'): 2.5,\n", + " Timestamp('2023-02-09 05:00:00'): 1.6,\n", + " Timestamp('2023-02-09 06:00:00'): 2.1,\n", + " Timestamp('2023-02-09 07:00:00'): 3.0,\n", + " Timestamp('2023-02-09 08:00:00'): 1.9,\n", + " Timestamp('2023-02-09 09:00:00'): 2.2,\n", + " Timestamp('2023-02-09 10:00:00'): 0.1,\n", + " Timestamp('2023-02-09 11:00:00'): 1.5,\n", + " Timestamp('2023-02-09 12:00:00'): 1.3,\n", + " Timestamp('2023-02-09 13:00:00'): 1.9,\n", + " Timestamp('2023-02-09 14:00:00'): 2.9,\n", + " Timestamp('2023-02-09 15:00:00'): 8.1,\n", + " Timestamp('2023-02-09 16:00:00'): 8.3,\n", + " Timestamp('2023-02-09 17:00:00'): 10.0,\n", + " Timestamp('2023-02-09 18:00:00'): 7.6,\n", + " Timestamp('2023-02-09 19:00:00'): 4.4,\n", + " Timestamp('2023-02-09 20:00:00'): 9.9,\n", + " Timestamp('2023-02-09 21:00:00'): 8.0,\n", + " Timestamp('2023-02-09 22:00:00'): 6.8,\n", + " Timestamp('2023-02-09 23:00:00'): 10.9,\n", + " Timestamp('2023-02-10 00:00:00'): 11.4,\n", + " Timestamp('2023-02-10 01:00:00'): 10.7,\n", + " Timestamp('2023-02-10 03:00:00'): 11.1,\n", + " Timestamp('2023-02-10 04:00:00'): 11.7,\n", + " Timestamp('2023-02-10 05:00:00'): 11.6,\n", + " Timestamp('2023-02-10 06:00:00'): 10.8,\n", + " Timestamp('2023-02-10 07:00:00'): 10.0,\n", + " Timestamp('2023-02-10 08:00:00'): 10.1,\n", + " Timestamp('2023-02-10 09:00:00'): 9.3,\n", + " Timestamp('2023-02-10 10:00:00'): 8.2,\n", + " Timestamp('2023-02-10 11:00:00'): 6.5,\n", + " Timestamp('2023-02-10 12:00:00'): 5.4,\n", + " Timestamp('2023-02-10 13:00:00'): 8.5,\n", + " Timestamp('2023-02-10 14:00:00'): 10.1,\n", + " Timestamp('2023-02-10 15:00:00'): 10.0,\n", + " Timestamp('2023-02-10 16:00:00'): 6.0,\n", + " Timestamp('2023-02-10 17:00:00'): 6.5,\n", + " Timestamp('2023-02-10 18:00:00'): 7.8,\n", + " Timestamp('2023-02-10 19:00:00'): 6.7,\n", + " Timestamp('2023-02-10 20:00:00'): 6.9,\n", + " Timestamp('2023-02-10 21:00:00'): 8.2,\n", + " Timestamp('2023-02-10 22:00:00'): 7.0,\n", + " Timestamp('2023-02-10 23:00:00'): 6.1,\n", + " Timestamp('2023-02-11 00:00:00'): 5.3,\n", + " Timestamp('2023-02-11 01:00:00'): 5.9,\n", + " Timestamp('2023-02-11 02:00:00'): 6.0,\n", + " Timestamp('2023-02-11 03:00:00'): 6.2,\n", + " Timestamp('2023-02-11 04:00:00'): 6.6,\n", + " Timestamp('2023-02-11 05:00:00'): 6.1,\n", + " Timestamp('2023-02-11 06:00:00'): 4.7,\n", + " Timestamp('2023-02-11 07:00:00'): 5.9,\n", + " Timestamp('2023-02-11 08:00:00'): 9.4,\n", + " Timestamp('2023-02-11 09:00:00'): 9.4,\n", + " Timestamp('2023-02-11 10:00:00'): 9.5,\n", + " Timestamp('2023-02-11 11:00:00'): 5.5,\n", + " Timestamp('2023-02-11 12:00:00'): 3.7,\n", + " Timestamp('2023-02-11 13:00:00'): 3.3,\n", + " Timestamp('2023-02-11 14:00:00'): 5.3,\n", + " Timestamp('2023-02-11 15:00:00'): 5.2,\n", + " Timestamp('2023-02-11 16:00:00'): 5.4,\n", + " Timestamp('2023-02-11 17:00:00'): 5.7,\n", + " Timestamp('2023-02-11 18:00:00'): 5.6,\n", + " Timestamp('2023-02-11 19:00:00'): 4.0,\n", + " ...},\n", + " 'GST': {Timestamp('2023-01-01 00:00:00'): 7.2,\n", + " Timestamp('2023-01-01 01:00:00'): 5.7,\n", + " Timestamp('2023-01-01 02:00:00'): 6.7,\n", + " Timestamp('2023-01-01 03:00:00'): 0.7,\n", + " Timestamp('2023-01-01 04:00:00'): 3.7,\n", + " Timestamp('2023-01-01 05:00:00'): 6.8,\n", + " Timestamp('2023-01-01 06:00:00'): 5.7,\n", + " Timestamp('2023-01-01 07:00:00'): 4.3,\n", + " Timestamp('2023-01-01 08:00:00'): 3.8,\n", + " Timestamp('2023-01-01 09:00:00'): 4.1,\n", + " Timestamp('2023-01-01 10:00:00'): 3.7,\n", + " Timestamp('2023-01-01 11:00:00'): 4.5,\n", + " Timestamp('2023-01-01 12:00:00'): 4.3,\n", + " Timestamp('2023-01-01 13:00:00'): 3.6,\n", + " Timestamp('2023-01-01 14:00:00'): 4.6,\n", + " Timestamp('2023-01-01 15:00:00'): 4.1,\n", + " Timestamp('2023-01-01 16:00:00'): 6.1,\n", + " Timestamp('2023-01-01 17:00:00'): 5.4,\n", + " Timestamp('2023-01-01 18:00:00'): 5.6,\n", + " Timestamp('2023-01-01 19:00:00'): 2.7,\n", + " Timestamp('2023-01-01 20:00:00'): 4.3,\n", + " Timestamp('2023-01-01 21:00:00'): 6.2,\n", + " Timestamp('2023-01-01 22:00:00'): 3.8,\n", + " Timestamp('2023-01-01 23:00:00'): 3.0,\n", + " Timestamp('2023-01-02 00:00:00'): 4.4,\n", + " Timestamp('2023-01-02 01:00:00'): 4.0,\n", + " Timestamp('2023-01-02 02:00:00'): 3.6,\n", + " Timestamp('2023-01-02 03:00:00'): 2.7,\n", + " Timestamp('2023-01-02 04:00:00'): 2.3,\n", + " Timestamp('2023-01-02 05:00:00'): 1.7,\n", + " Timestamp('2023-01-02 06:00:00'): 2.3,\n", + " Timestamp('2023-01-02 07:00:00'): 0.4,\n", + " Timestamp('2023-01-02 08:00:00'): 0.7,\n", + " Timestamp('2023-01-02 09:00:00'): 0.8,\n", + " Timestamp('2023-01-02 10:00:00'): 0.9,\n", + " Timestamp('2023-01-02 11:00:00'): 2.6,\n", + " Timestamp('2023-01-02 12:00:00'): 3.6,\n", + " Timestamp('2023-01-02 13:00:00'): 4.6,\n", + " Timestamp('2023-01-02 14:00:00'): 2.4,\n", + " Timestamp('2023-01-02 15:00:00'): 1.7,\n", + " Timestamp('2023-01-02 16:00:00'): 2.7,\n", + " Timestamp('2023-01-02 17:00:00'): 5.4,\n", + " Timestamp('2023-01-02 18:00:00'): 5.5,\n", + " Timestamp('2023-01-02 19:00:00'): 3.4,\n", + " Timestamp('2023-01-02 20:00:00'): 5.8,\n", + " Timestamp('2023-01-02 21:00:00'): 6.9,\n", + " Timestamp('2023-01-02 22:00:00'): 4.8,\n", + " Timestamp('2023-01-02 23:00:00'): 6.7,\n", + " Timestamp('2023-01-03 00:00:00'): 7.6,\n", + " Timestamp('2023-01-03 01:00:00'): 7.2,\n", + " Timestamp('2023-01-03 02:00:00'): 5.9,\n", + " Timestamp('2023-01-03 03:00:00'): 3.0,\n", + " Timestamp('2023-01-03 04:00:00'): 5.0,\n", + " Timestamp('2023-01-03 05:00:00'): 6.0,\n", + " Timestamp('2023-01-03 06:00:00'): 5.1,\n", + " Timestamp('2023-01-03 07:00:00'): 3.2,\n", + " Timestamp('2023-01-03 08:00:00'): 3.5,\n", + " Timestamp('2023-01-03 09:00:00'): 4.4,\n", + " Timestamp('2023-01-03 10:00:00'): 6.5,\n", + " Timestamp('2023-01-03 11:00:00'): 6.4,\n", + " Timestamp('2023-01-03 12:00:00'): 6.8,\n", + " Timestamp('2023-01-03 13:00:00'): 6.6,\n", + " Timestamp('2023-01-03 14:00:00'): 7.6,\n", + " Timestamp('2023-01-03 15:00:00'): 10.0,\n", + " Timestamp('2023-01-03 16:00:00'): 7.4,\n", + " Timestamp('2023-01-03 17:00:00'): 6.4,\n", + " Timestamp('2023-01-03 18:00:00'): 10.0,\n", + " Timestamp('2023-01-03 19:00:00'): 10.7,\n", + " Timestamp('2023-01-03 20:00:00'): 9.9,\n", + " Timestamp('2023-01-03 21:00:00'): 10.1,\n", + " Timestamp('2023-01-03 22:00:00'): 10.1,\n", + " Timestamp('2023-01-03 23:00:00'): 9.9,\n", + " Timestamp('2023-01-04 00:00:00'): 8.3,\n", + " Timestamp('2023-01-04 01:00:00'): 9.3,\n", + " Timestamp('2023-01-04 02:00:00'): 6.1,\n", + " Timestamp('2023-01-04 03:00:00'): 9.1,\n", + " Timestamp('2023-01-04 04:00:00'): 8.0,\n", + " Timestamp('2023-01-04 05:00:00'): 8.2,\n", + " Timestamp('2023-01-04 06:00:00'): 7.2,\n", + " Timestamp('2023-01-04 07:00:00'): 7.3,\n", + " Timestamp('2023-01-04 08:00:00'): 4.8,\n", + " Timestamp('2023-01-04 09:00:00'): 2.7,\n", + " Timestamp('2023-01-04 10:00:00'): 3.8,\n", + " Timestamp('2023-01-04 11:00:00'): 3.6,\n", + " Timestamp('2023-01-04 12:00:00'): 6.5,\n", + " Timestamp('2023-01-04 13:00:00'): 6.0,\n", + " Timestamp('2023-01-04 14:00:00'): 5.4,\n", + " Timestamp('2023-01-04 15:00:00'): 7.7,\n", + " Timestamp('2023-01-04 16:00:00'): 5.3,\n", + " Timestamp('2023-01-04 17:00:00'): 5.0,\n", + " Timestamp('2023-01-04 18:00:00'): 8.0,\n", + " Timestamp('2023-01-04 19:00:00'): 8.3,\n", + " Timestamp('2023-01-04 20:00:00'): 8.8,\n", + " Timestamp('2023-01-04 21:00:00'): 7.5,\n", + " Timestamp('2023-01-04 22:00:00'): 6.9,\n", + " Timestamp('2023-01-04 23:00:00'): 9.6,\n", + " Timestamp('2023-01-05 00:00:00'): 10.1,\n", + " Timestamp('2023-01-05 01:00:00'): 6.2,\n", + " Timestamp('2023-01-05 02:00:00'): 6.7,\n", + " Timestamp('2023-01-05 03:00:00'): 6.8,\n", + " Timestamp('2023-01-05 04:00:00'): 6.2,\n", + " Timestamp('2023-01-05 05:00:00'): 5.0,\n", + " Timestamp('2023-01-05 06:00:00'): 3.8,\n", + " Timestamp('2023-01-05 07:00:00'): 5.9,\n", + " Timestamp('2023-01-05 08:00:00'): 4.8,\n", + " Timestamp('2023-01-05 09:00:00'): 3.6,\n", + " Timestamp('2023-01-05 10:00:00'): 3.8,\n", + " Timestamp('2023-01-05 11:00:00'): 2.5,\n", + " Timestamp('2023-01-05 13:00:00'): 2.5,\n", + " Timestamp('2023-01-05 14:00:00'): 1.5,\n", + " Timestamp('2023-01-05 16:00:00'): 0.7,\n", + " Timestamp('2023-01-05 17:00:00'): 2.5,\n", + " Timestamp('2023-01-05 18:00:00'): 3.8,\n", + " Timestamp('2023-01-05 19:00:00'): 2.7,\n", + " Timestamp('2023-01-05 20:00:00'): 2.0,\n", + " Timestamp('2023-01-05 21:00:00'): 1.9,\n", + " Timestamp('2023-01-05 22:00:00'): 1.6,\n", + " Timestamp('2023-01-05 23:00:00'): 2.9,\n", + " Timestamp('2023-01-06 00:00:00'): 2.8,\n", + " Timestamp('2023-01-06 01:00:00'): 6.0,\n", + " Timestamp('2023-01-06 02:00:00'): 2.3,\n", + " Timestamp('2023-01-06 03:00:00'): 4.8,\n", + " Timestamp('2023-01-06 04:00:00'): 7.6,\n", + " Timestamp('2023-01-06 05:00:00'): 6.3,\n", + " Timestamp('2023-01-06 06:00:00'): 6.1,\n", + " Timestamp('2023-01-06 07:00:00'): 4.5,\n", + " Timestamp('2023-01-06 08:00:00'): 0.9,\n", + " Timestamp('2023-01-06 09:00:00'): 1.1,\n", + " Timestamp('2023-01-06 10:00:00'): 1.7,\n", + " Timestamp('2023-01-06 11:00:00'): 1.5,\n", + " Timestamp('2023-01-06 12:00:00'): 4.1,\n", + " Timestamp('2023-01-06 13:00:00'): 5.1,\n", + " Timestamp('2023-01-06 14:00:00'): 8.6,\n", + " Timestamp('2023-01-06 15:00:00'): 13.2,\n", + " Timestamp('2023-01-06 16:00:00'): 12.4,\n", + " Timestamp('2023-01-06 17:00:00'): 9.4,\n", + " Timestamp('2023-01-06 18:00:00'): 9.2,\n", + " Timestamp('2023-01-06 19:00:00'): 9.7,\n", + " Timestamp('2023-01-06 20:00:00'): 7.7,\n", + " Timestamp('2023-01-06 21:00:00'): 8.6,\n", + " Timestamp('2023-01-06 22:00:00'): 5.9,\n", + " Timestamp('2023-01-06 23:00:00'): 9.1,\n", + " Timestamp('2023-01-07 00:00:00'): 6.6,\n", + " Timestamp('2023-01-07 01:00:00'): 4.3,\n", + " Timestamp('2023-01-07 02:00:00'): 5.1,\n", + " Timestamp('2023-01-07 03:00:00'): 4.1,\n", + " Timestamp('2023-01-07 04:00:00'): 3.9,\n", + " Timestamp('2023-01-07 05:00:00'): 5.8,\n", + " Timestamp('2023-01-07 06:00:00'): 5.4,\n", + " Timestamp('2023-01-07 07:00:00'): 4.8,\n", + " Timestamp('2023-01-07 08:00:00'): 4.4,\n", + " Timestamp('2023-01-07 09:00:00'): 3.2,\n", + " Timestamp('2023-01-07 10:00:00'): 5.3,\n", + " Timestamp('2023-01-07 11:00:00'): 6.2,\n", + " Timestamp('2023-01-07 12:00:00'): 4.7,\n", + " Timestamp('2023-01-07 13:00:00'): 2.8,\n", + " Timestamp('2023-01-07 14:00:00'): 2.6,\n", + " Timestamp('2023-01-07 15:00:00'): 2.6,\n", + " Timestamp('2023-01-07 16:00:00'): 8.4,\n", + " Timestamp('2023-01-07 17:00:00'): 7.1,\n", + " Timestamp('2023-01-07 18:00:00'): 6.7,\n", + " 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Timestamp('2023-01-09 13:00:00'): 5.2,\n", + " Timestamp('2023-01-09 14:00:00'): 6.5,\n", + " Timestamp('2023-01-09 15:00:00'): 6.1,\n", + " Timestamp('2023-01-09 16:00:00'): 7.6,\n", + " Timestamp('2023-01-09 17:00:00'): 4.8,\n", + " Timestamp('2023-01-09 18:00:00'): 5.0,\n", + " Timestamp('2023-01-09 19:00:00'): 7.5,\n", + " Timestamp('2023-01-09 20:00:00'): 7.2,\n", + " Timestamp('2023-01-09 21:00:00'): 9.1,\n", + " Timestamp('2023-01-09 22:00:00'): 7.6,\n", + " Timestamp('2023-01-09 23:00:00'): 6.5,\n", + " Timestamp('2023-01-10 00:00:00'): 9.0,\n", + " Timestamp('2023-01-10 01:00:00'): 7.4,\n", + " Timestamp('2023-01-10 02:00:00'): 4.5,\n", + " Timestamp('2023-01-10 03:00:00'): 6.2,\n", + " Timestamp('2023-01-10 04:00:00'): 7.2,\n", + " Timestamp('2023-01-10 05:00:00'): 5.0,\n", + " Timestamp('2023-01-10 06:00:00'): 5.1,\n", + " Timestamp('2023-01-10 07:00:00'): 4.8,\n", + " Timestamp('2023-01-10 08:00:00'): 5.8,\n", + " Timestamp('2023-01-10 09:00:00'): 4.6,\n", + " 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Timestamp('2023-01-12 04:00:00'): 4.3,\n", + " Timestamp('2023-01-12 05:00:00'): 4.4,\n", + " Timestamp('2023-01-12 06:00:00'): 2.9,\n", + " Timestamp('2023-01-12 07:00:00'): 3.0,\n", + " Timestamp('2023-01-12 08:00:00'): 2.5,\n", + " Timestamp('2023-01-12 09:00:00'): 2.2,\n", + " Timestamp('2023-01-12 10:00:00'): 2.0,\n", + " Timestamp('2023-01-12 11:00:00'): 2.5,\n", + " Timestamp('2023-01-12 12:00:00'): 2.1,\n", + " Timestamp('2023-01-12 13:00:00'): 2.7,\n", + " Timestamp('2023-01-12 14:00:00'): 1.8,\n", + " Timestamp('2023-01-12 15:00:00'): 1.5,\n", + " Timestamp('2023-01-12 16:00:00'): 2.3,\n", + " Timestamp('2023-01-12 17:00:00'): 1.5,\n", + " Timestamp('2023-01-12 18:00:00'): 3.0,\n", + " Timestamp('2023-01-12 19:00:00'): 2.1,\n", + " Timestamp('2023-01-12 20:00:00'): 4.4,\n", + " Timestamp('2023-01-12 21:00:00'): 2.4,\n", + " Timestamp('2023-01-12 22:00:00'): 3.0,\n", + " Timestamp('2023-01-12 23:00:00'): 10.2,\n", + " Timestamp('2023-01-13 00:00:00'): 8.5,\n", + " Timestamp('2023-01-13 01:00:00'): 8.7,\n", + " Timestamp('2023-01-13 02:00:00'): 11.4,\n", + " Timestamp('2023-01-13 03:00:00'): 8.9,\n", + " Timestamp('2023-01-13 04:00:00'): 8.0,\n", + " Timestamp('2023-01-13 05:00:00'): 11.1,\n", + " Timestamp('2023-01-13 06:00:00'): 9.4,\n", + " Timestamp('2023-01-13 07:00:00'): 10.9,\n", + " Timestamp('2023-01-13 08:00:00'): 9.8,\n", + " Timestamp('2023-01-13 09:00:00'): 8.6,\n", + " Timestamp('2023-01-13 10:00:00'): 7.7,\n", + " Timestamp('2023-01-13 11:00:00'): 5.7,\n", + " Timestamp('2023-01-13 12:00:00'): 12.6,\n", + " Timestamp('2023-01-13 13:00:00'): 9.2,\n", + " Timestamp('2023-01-13 14:00:00'): 11.8,\n", + " Timestamp('2023-01-13 15:00:00'): 11.5,\n", + " Timestamp('2023-01-13 16:00:00'): 12.0,\n", + " Timestamp('2023-01-13 17:00:00'): 12.5,\n", + " Timestamp('2023-01-13 18:00:00'): 10.8,\n", + " Timestamp('2023-01-13 19:00:00'): 11.8,\n", + " Timestamp('2023-01-13 20:00:00'): 10.4,\n", + " Timestamp('2023-01-13 21:00:00'): 9.5,\n", + " Timestamp('2023-01-13 22:00:00'): 10.7,\n", + " Timestamp('2023-01-13 23:00:00'): 11.2,\n", + " Timestamp('2023-01-14 00:00:00'): 7.7,\n", + " Timestamp('2023-01-14 01:00:00'): 10.1,\n", + " Timestamp('2023-01-14 02:00:00'): 12.7,\n", + " Timestamp('2023-01-14 03:00:00'): 12.4,\n", + " Timestamp('2023-01-14 04:00:00'): 12.2,\n", + " Timestamp('2023-01-14 05:00:00'): 13.4,\n", + " Timestamp('2023-01-14 06:00:00'): 12.9,\n", + " Timestamp('2023-01-14 07:00:00'): 10.8,\n", + " Timestamp('2023-01-14 08:00:00'): 12.3,\n", + " Timestamp('2023-01-14 09:00:00'): 12.9,\n", + " Timestamp('2023-01-14 10:00:00'): 11.9,\n", + " Timestamp('2023-01-14 11:00:00'): 12.0,\n", + " Timestamp('2023-01-14 12:00:00'): 11.2,\n", + " Timestamp('2023-01-14 13:00:00'): 10.1,\n", + " Timestamp('2023-01-14 14:00:00'): 12.9,\n", + " Timestamp('2023-01-14 15:00:00'): 10.6,\n", + " Timestamp('2023-01-14 16:00:00'): 14.0,\n", + " Timestamp('2023-01-14 17:00:00'): 13.1,\n", + " Timestamp('2023-01-14 18:00:00'): 12.5,\n", + " Timestamp('2023-01-14 19:00:00'): 12.2,\n", + " Timestamp('2023-01-14 20:00:00'): 11.4,\n", + " Timestamp('2023-01-14 21:00:00'): 12.7,\n", + " Timestamp('2023-01-14 22:00:00'): 13.3,\n", + " Timestamp('2023-01-14 23:00:00'): 11.7,\n", + " Timestamp('2023-01-15 00:00:00'): 12.5,\n", + " Timestamp('2023-01-15 01:00:00'): 15.4,\n", + " Timestamp('2023-01-15 02:00:00'): 14.1,\n", + " Timestamp('2023-01-15 03:00:00'): 11.5,\n", + " Timestamp('2023-01-15 04:00:00'): 12.1,\n", + " Timestamp('2023-01-15 05:00:00'): 11.7,\n", + " Timestamp('2023-01-15 06:00:00'): 13.6,\n", + " Timestamp('2023-01-15 07:00:00'): 13.1,\n", + " Timestamp('2023-01-15 08:00:00'): 14.4,\n", + " Timestamp('2023-01-15 09:00:00'): 11.4,\n", + " Timestamp('2023-01-15 10:00:00'): 11.4,\n", + " Timestamp('2023-01-15 11:00:00'): 8.9,\n", + " Timestamp('2023-01-15 12:00:00'): 9.7,\n", + " Timestamp('2023-01-15 13:00:00'): 9.6,\n", + " Timestamp('2023-01-15 14:00:00'): 9.9,\n", + " Timestamp('2023-01-15 15:00:00'): 11.6,\n", + " Timestamp('2023-01-15 16:00:00'): 11.0,\n", + " Timestamp('2023-01-15 17:00:00'): 9.7,\n", + " Timestamp('2023-01-15 18:00:00'): 10.8,\n", + " Timestamp('2023-01-15 19:00:00'): 9.1,\n", + " Timestamp('2023-01-15 20:00:00'): 9.6,\n", + " Timestamp('2023-01-15 21:00:00'): 9.0,\n", + " Timestamp('2023-01-15 22:00:00'): 6.4,\n", + " Timestamp('2023-01-15 23:00:00'): 5.8,\n", + " Timestamp('2023-01-16 00:00:00'): 8.4,\n", + " Timestamp('2023-01-16 01:00:00'): 9.1,\n", + " Timestamp('2023-01-16 02:00:00'): 9.8,\n", + " Timestamp('2023-01-16 03:00:00'): 6.2,\n", + " Timestamp('2023-01-16 04:00:00'): 7.3,\n", + " Timestamp('2023-01-16 05:00:00'): 5.8,\n", + " Timestamp('2023-01-16 06:00:00'): 5.7,\n", + " Timestamp('2023-01-16 07:00:00'): 6.5,\n", + " Timestamp('2023-01-16 08:00:00'): 4.7,\n", + " Timestamp('2023-01-16 09:00:00'): 6.5,\n", + " Timestamp('2023-01-16 10:00:00'): 4.7,\n", + " Timestamp('2023-01-16 11:00:00'): 3.3,\n", + " Timestamp('2023-01-16 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1.8,\n", + " Timestamp('2023-01-17 10:00:00'): 3.9,\n", + " Timestamp('2023-01-17 11:00:00'): 3.6,\n", + " Timestamp('2023-01-17 12:00:00'): 5.7,\n", + " Timestamp('2023-01-17 13:00:00'): 5.1,\n", + " Timestamp('2023-01-17 14:00:00'): 3.8,\n", + " Timestamp('2023-01-17 15:00:00'): 4.5,\n", + " Timestamp('2023-01-17 16:00:00'): 4.6,\n", + " Timestamp('2023-01-17 17:00:00'): 5.7,\n", + " Timestamp('2023-01-17 18:00:00'): 3.7,\n", + " Timestamp('2023-01-17 19:00:00'): 4.6,\n", + " Timestamp('2023-01-17 20:00:00'): 5.1,\n", + " Timestamp('2023-01-17 21:00:00'): 4.1,\n", + " Timestamp('2023-01-17 22:00:00'): 3.0,\n", + " Timestamp('2023-01-17 23:00:00'): 3.2,\n", + " Timestamp('2023-01-18 00:00:00'): 1.8,\n", + " Timestamp('2023-01-18 01:00:00'): 1.0,\n", + " Timestamp('2023-01-18 02:00:00'): 2.9,\n", + " Timestamp('2023-01-18 03:00:00'): 4.9,\n", + " Timestamp('2023-01-18 04:00:00'): 1.7,\n", + " Timestamp('2023-01-18 05:00:00'): 7.6,\n", + " Timestamp('2023-01-18 06:00:00'): 2.4,\n", + " Timestamp('2023-01-18 07:00:00'): 3.6,\n", + " Timestamp('2023-01-18 08:00:00'): 3.9,\n", + " Timestamp('2023-01-18 09:00:00'): 3.7,\n", + " Timestamp('2023-01-18 10:00:00'): 4.4,\n", + " Timestamp('2023-01-18 11:00:00'): 4.3,\n", + " Timestamp('2023-01-18 12:00:00'): 5.0,\n", + " Timestamp('2023-01-18 13:00:00'): 6.0,\n", + " Timestamp('2023-01-18 14:00:00'): 3.3,\n", + " Timestamp('2023-01-18 15:00:00'): 5.1,\n", + " Timestamp('2023-01-18 16:00:00'): 7.2,\n", + " Timestamp('2023-01-18 17:00:00'): 7.7,\n", + " Timestamp('2023-01-18 18:00:00'): 9.6,\n", + " Timestamp('2023-01-18 19:00:00'): 11.1,\n", + " Timestamp('2023-01-18 20:00:00'): 8.6,\n", + " Timestamp('2023-01-18 21:00:00'): 7.5,\n", + " Timestamp('2023-01-18 22:00:00'): 6.1,\n", + " Timestamp('2023-01-18 23:00:00'): 6.8,\n", + " Timestamp('2023-01-19 00:00:00'): 4.1,\n", + " Timestamp('2023-01-19 01:00:00'): 5.3,\n", + " Timestamp('2023-01-19 02:00:00'): 3.4,\n", + " Timestamp('2023-01-19 03:00:00'): 4.3,\n", + " Timestamp('2023-01-19 04:00:00'): 1.7,\n", + " Timestamp('2023-01-19 05:00:00'): 3.1,\n", + " Timestamp('2023-01-19 06:00:00'): 1.8,\n", + " Timestamp('2023-01-19 07:00:00'): 0.7,\n", + " Timestamp('2023-01-19 08:00:00'): 1.2,\n", + " Timestamp('2023-01-19 09:00:00'): 2.0,\n", + " Timestamp('2023-01-19 10:00:00'): 1.2,\n", + " Timestamp('2023-01-19 11:00:00'): 0.2,\n", + " Timestamp('2023-01-19 12:00:00'): 1.3,\n", + " Timestamp('2023-01-19 13:00:00'): 3.4,\n", + " Timestamp('2023-01-19 14:00:00'): 0.9,\n", + " Timestamp('2023-01-19 15:00:00'): 3.9,\n", + " Timestamp('2023-01-19 16:00:00'): 3.0,\n", + " Timestamp('2023-01-19 17:00:00'): 3.1,\n", + " Timestamp('2023-01-19 18:00:00'): 0.7,\n", + " Timestamp('2023-01-19 19:00:00'): 1.0,\n", + " Timestamp('2023-01-19 20:00:00'): 2.1,\n", + " Timestamp('2023-01-19 21:00:00'): 4.7,\n", + " Timestamp('2023-01-19 22:00:00'): 4.0,\n", + " Timestamp('2023-01-19 23:00:00'): 3.3,\n", + " Timestamp('2023-01-20 00:00:00'): 3.4,\n", + " 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Timestamp('2023-01-22 16:00:00'): 7.0,\n", + " Timestamp('2023-01-22 17:00:00'): 4.4,\n", + " Timestamp('2023-01-22 18:00:00'): 5.6,\n", + " Timestamp('2023-01-22 19:00:00'): 3.4,\n", + " Timestamp('2023-01-22 20:00:00'): 4.9,\n", + " Timestamp('2023-01-22 21:00:00'): 3.2,\n", + " Timestamp('2023-01-22 22:00:00'): 3.8,\n", + " Timestamp('2023-01-22 23:00:00'): 3.2,\n", + " Timestamp('2023-01-23 00:00:00'): 5.9,\n", + " Timestamp('2023-01-23 01:00:00'): 8.2,\n", + " Timestamp('2023-01-23 02:00:00'): 7.4,\n", + " Timestamp('2023-01-23 03:00:00'): 6.9,\n", + " Timestamp('2023-01-23 04:00:00'): 7.9,\n", + " Timestamp('2023-01-23 05:00:00'): 5.9,\n", + " Timestamp('2023-01-23 06:00:00'): 5.2,\n", + " Timestamp('2023-01-23 07:00:00'): 5.8,\n", + " Timestamp('2023-01-23 08:00:00'): 7.1,\n", + " Timestamp('2023-01-23 09:00:00'): 4.5,\n", + " Timestamp('2023-01-23 10:00:00'): 5.1,\n", + " Timestamp('2023-01-23 11:00:00'): 6.9,\n", + " Timestamp('2023-01-23 12:00:00'): 8.6,\n", + " Timestamp('2023-01-23 13:00:00'): 6.9,\n", + " Timestamp('2023-01-23 14:00:00'): 7.6,\n", + " Timestamp('2023-01-23 15:00:00'): 10.3,\n", + " Timestamp('2023-01-23 16:00:00'): 11.0,\n", + " Timestamp('2023-01-23 17:00:00'): 13.3,\n", + " Timestamp('2023-01-23 18:00:00'): 13.4,\n", + " Timestamp('2023-01-23 19:00:00'): 12.8,\n", + " Timestamp('2023-01-23 20:00:00'): 13.2,\n", + " Timestamp('2023-01-23 21:00:00'): 11.5,\n", + " Timestamp('2023-01-23 22:00:00'): 15.4,\n", + " Timestamp('2023-01-23 23:00:00'): 12.7,\n", + " Timestamp('2023-01-24 00:00:00'): 15.3,\n", + " Timestamp('2023-01-24 01:00:00'): 13.0,\n", + " Timestamp('2023-01-24 02:00:00'): 12.8,\n", + " Timestamp('2023-01-24 03:00:00'): 7.9,\n", + " Timestamp('2023-01-24 04:00:00'): 8.1,\n", + " Timestamp('2023-01-24 05:00:00'): 8.0,\n", + " Timestamp('2023-01-24 06:00:00'): 9.3,\n", + " Timestamp('2023-01-24 07:00:00'): 5.3,\n", + " Timestamp('2023-01-24 08:00:00'): 8.1,\n", + " Timestamp('2023-01-24 09:00:00'): 4.8,\n", + " Timestamp('2023-01-24 10:00:00'): 5.0,\n", + " Timestamp('2023-01-24 11:00:00'): 5.0,\n", + " Timestamp('2023-01-24 12:00:00'): 6.7,\n", + " Timestamp('2023-01-24 13:00:00'): 5.9,\n", + " Timestamp('2023-01-24 14:00:00'): 5.4,\n", + " Timestamp('2023-01-24 15:00:00'): 7.7,\n", + " Timestamp('2023-01-24 16:00:00'): 4.8,\n", + " Timestamp('2023-01-24 17:00:00'): 6.6,\n", + " Timestamp('2023-01-24 18:00:00'): 5.8,\n", + " Timestamp('2023-01-24 19:00:00'): 2.6,\n", + " Timestamp('2023-01-24 20:00:00'): 4.4,\n", + " Timestamp('2023-01-24 21:00:00'): 5.3,\n", + " Timestamp('2023-01-24 22:00:00'): 4.0,\n", + " Timestamp('2023-01-24 23:00:00'): 4.4,\n", + " Timestamp('2023-01-25 00:00:00'): 3.3,\n", + " Timestamp('2023-01-25 01:00:00'): 2.6,\n", + " Timestamp('2023-01-25 02:00:00'): 3.0,\n", + " Timestamp('2023-01-25 03:00:00'): 6.7,\n", + " Timestamp('2023-01-25 04:00:00'): 5.9,\n", + " Timestamp('2023-01-25 05:00:00'): 6.2,\n", + " Timestamp('2023-01-25 06:00:00'): 6.5,\n", + " Timestamp('2023-01-25 07:00:00'): 6.2,\n", + " Timestamp('2023-01-25 08:00:00'): 6.2,\n", + " Timestamp('2023-01-25 09:00:00'): 6.4,\n", + " Timestamp('2023-01-25 10:00:00'): 5.4,\n", + " Timestamp('2023-01-25 11:00:00'): 9.2,\n", + " Timestamp('2023-01-25 12:00:00'): 8.9,\n", + " Timestamp('2023-01-25 13:00:00'): 8.9,\n", + " Timestamp('2023-01-25 14:00:00'): 6.7,\n", + " Timestamp('2023-01-25 15:00:00'): 8.9,\n", + " Timestamp('2023-01-25 16:00:00'): 7.4,\n", + " Timestamp('2023-01-25 17:00:00'): 7.8,\n", + " Timestamp('2023-01-25 18:00:00'): 6.0,\n", + " Timestamp('2023-01-25 19:00:00'): 7.1,\n", + " Timestamp('2023-01-25 20:00:00'): 7.6,\n", + " Timestamp('2023-01-25 21:00:00'): 8.7,\n", + " Timestamp('2023-01-25 22:00:00'): 4.9,\n", + " Timestamp('2023-01-25 23:00:00'): 6.9,\n", + " Timestamp('2023-01-26 00:00:00'): 14.6,\n", + " Timestamp('2023-01-26 01:00:00'): 11.7,\n", + " Timestamp('2023-01-26 02:00:00'): 12.4,\n", + " Timestamp('2023-01-26 03:00:00'): 9.0,\n", + " Timestamp('2023-01-26 04:00:00'): 5.9,\n", + " Timestamp('2023-01-26 05:00:00'): 5.1,\n", + " Timestamp('2023-01-26 06:00:00'): 4.5,\n", + " Timestamp('2023-01-26 07:00:00'): 8.2,\n", + " Timestamp('2023-01-26 08:00:00'): 5.6,\n", + " Timestamp('2023-01-26 09:00:00'): 4.3,\n", + " Timestamp('2023-01-26 10:00:00'): 8.3,\n", + " Timestamp('2023-01-26 11:00:00'): 5.5,\n", + " Timestamp('2023-01-26 12:00:00'): 6.0,\n", + " Timestamp('2023-01-26 13:00:00'): 6.5,\n", + " Timestamp('2023-01-26 14:00:00'): 8.9,\n", + " Timestamp('2023-01-26 15:00:00'): 12.9,\n", + " Timestamp('2023-01-26 16:00:00'): 17.9,\n", + " Timestamp('2023-01-26 17:00:00'): 8.5,\n", + " Timestamp('2023-01-26 18:00:00'): 9.1,\n", + " Timestamp('2023-01-26 19:00:00'): 6.7,\n", + " Timestamp('2023-01-26 20:00:00'): 4.7,\n", + " Timestamp('2023-01-26 21:00:00'): 3.2,\n", + " Timestamp('2023-01-26 22:00:00'): 4.1,\n", + " Timestamp('2023-01-26 23:00:00'): 3.8,\n", + " Timestamp('2023-01-27 00:00:00'): 8.8,\n", + " Timestamp('2023-01-27 01:00:00'): 6.2,\n", + " Timestamp('2023-01-27 02:00:00'): 4.6,\n", + " Timestamp('2023-01-27 03:00:00'): 5.1,\n", + " Timestamp('2023-01-27 04:00:00'): 7.4,\n", + " Timestamp('2023-01-27 05:00:00'): 5.6,\n", + " Timestamp('2023-01-27 06:00:00'): 6.9,\n", + " Timestamp('2023-01-27 07:00:00'): 6.4,\n", + " Timestamp('2023-01-27 08:00:00'): 9.8,\n", + " Timestamp('2023-01-27 09:00:00'): 9.4,\n", + " Timestamp('2023-01-27 10:00:00'): 7.3,\n", + " Timestamp('2023-01-27 11:00:00'): 4.2,\n", + " Timestamp('2023-01-27 12:00:00'): 4.1,\n", + " Timestamp('2023-01-27 13:00:00'): 4.3,\n", + " Timestamp('2023-01-27 14:00:00'): 4.4,\n", + " Timestamp('2023-01-27 15:00:00'): 8.2,\n", + " Timestamp('2023-01-27 16:00:00'): 6.9,\n", + " Timestamp('2023-01-27 17:00:00'): 6.9,\n", + " Timestamp('2023-01-27 18:00:00'): 6.1,\n", + " Timestamp('2023-01-27 19:00:00'): 7.0,\n", + " Timestamp('2023-01-27 20:00:00'): 4.1,\n", + " Timestamp('2023-01-27 21:00:00'): 2.3,\n", + " Timestamp('2023-01-27 22:00:00'): 2.5,\n", + " Timestamp('2023-01-27 23:00:00'): 4.6,\n", + " Timestamp('2023-01-28 00:00:00'): 3.5,\n", + " Timestamp('2023-01-28 01:00:00'): 3.9,\n", + " Timestamp('2023-01-28 02:00:00'): 4.4,\n", + " Timestamp('2023-01-28 03:00:00'): 5.5,\n", + " Timestamp('2023-01-28 04:00:00'): 7.8,\n", + " Timestamp('2023-01-28 05:00:00'): 8.5,\n", + " Timestamp('2023-01-28 06:00:00'): 9.3,\n", + " Timestamp('2023-01-28 07:00:00'): 10.1,\n", + " Timestamp('2023-01-28 08:00:00'): 7.6,\n", + " Timestamp('2023-01-28 09:00:00'): 6.4,\n", + " Timestamp('2023-01-28 10:00:00'): 5.5,\n", + " Timestamp('2023-01-28 11:00:00'): 5.6,\n", + " Timestamp('2023-01-28 12:00:00'): 4.7,\n", + " Timestamp('2023-01-28 13:00:00'): 7.3,\n", + " Timestamp('2023-01-28 14:00:00'): 7.9,\n", + " Timestamp('2023-01-28 15:00:00'): 6.4,\n", + " Timestamp('2023-01-28 16:00:00'): 0.8,\n", + " Timestamp('2023-01-28 17:00:00'): 4.7,\n", + " Timestamp('2023-01-28 18:00:00'): 5.0,\n", + " Timestamp('2023-01-28 19:00:00'): 4.3,\n", + " Timestamp('2023-01-28 20:00:00'): 3.6,\n", + " Timestamp('2023-01-28 21:00:00'): 6.0,\n", + " Timestamp('2023-01-28 22:00:00'): 4.0,\n", + " Timestamp('2023-01-28 23:00:00'): 3.7,\n", + " Timestamp('2023-01-29 00:00:00'): 4.7,\n", + " Timestamp('2023-01-29 01:00:00'): 6.4,\n", + " Timestamp('2023-01-29 02:00:00'): 2.4,\n", + " Timestamp('2023-01-29 03:00:00'): 5.4,\n", + " Timestamp('2023-01-29 04:00:00'): 4.5,\n", + " Timestamp('2023-01-29 05:00:00'): 5.8,\n", + " Timestamp('2023-01-29 06:00:00'): 7.5,\n", + " Timestamp('2023-01-29 07:00:00'): 7.4,\n", + " Timestamp('2023-01-29 08:00:00'): 6.8,\n", + " Timestamp('2023-01-29 09:00:00'): 7.7,\n", + " Timestamp('2023-01-29 10:00:00'): 7.4,\n", + " Timestamp('2023-01-29 11:00:00'): 6.8,\n", + " Timestamp('2023-01-29 12:00:00'): 7.7,\n", + " Timestamp('2023-01-29 13:00:00'): 8.0,\n", + " Timestamp('2023-01-29 14:00:00'): 7.9,\n", + " Timestamp('2023-01-29 15:00:00'): 8.6,\n", + " Timestamp('2023-01-29 16:00:00'): 9.7,\n", + " Timestamp('2023-01-29 17:00:00'): 8.6,\n", + " Timestamp('2023-01-29 18:00:00'): 9.3,\n", + " Timestamp('2023-01-29 19:00:00'): 8.8,\n", + " Timestamp('2023-01-29 20:00:00'): 8.4,\n", + " Timestamp('2023-01-29 21:00:00'): 5.8,\n", + " Timestamp('2023-01-29 22:00:00'): 8.3,\n", + " Timestamp('2023-01-29 23:00:00'): 5.4,\n", + " Timestamp('2023-01-30 00:00:00'): 5.8,\n", + " Timestamp('2023-01-30 01:00:00'): 6.8,\n", + " Timestamp('2023-01-30 02:00:00'): 4.5,\n", + " Timestamp('2023-01-30 03:00:00'): 2.6,\n", + " Timestamp('2023-01-30 04:00:00'): 3.4,\n", + " Timestamp('2023-01-30 05:00:00'): 2.7,\n", + " Timestamp('2023-01-30 06:00:00'): 0.4,\n", + " Timestamp('2023-01-30 07:00:00'): 1.3,\n", + " Timestamp('2023-01-30 08:00:00'): 0.2,\n", + " Timestamp('2023-01-30 09:00:00'): 1.1,\n", + " Timestamp('2023-01-30 10:00:00'): 0.7,\n", + " Timestamp('2023-01-30 11:00:00'): 1.6,\n", + " Timestamp('2023-01-30 12:00:00'): 2.1,\n", + " 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Timestamp('2023-01-31 18:00:00'): nan,\n", + " Timestamp('2023-01-31 19:00:00'): nan,\n", + " Timestamp('2023-01-31 20:00:00'): nan,\n", + " Timestamp('2023-01-31 21:00:00'): nan,\n", + " Timestamp('2023-01-31 22:00:00'): nan,\n", + " Timestamp('2023-01-31 23:00:00'): nan,\n", + " Timestamp('2023-02-01 00:00:00'): nan,\n", + " Timestamp('2023-02-01 01:00:00'): nan,\n", + " Timestamp('2023-02-01 02:00:00'): nan,\n", + " Timestamp('2023-02-01 03:00:00'): nan,\n", + " Timestamp('2023-02-01 04:00:00'): nan,\n", + " Timestamp('2023-02-01 05:00:00'): nan,\n", + " Timestamp('2023-02-01 06:00:00'): nan,\n", + " Timestamp('2023-02-01 07:00:00'): nan,\n", + " Timestamp('2023-02-01 08:00:00'): nan,\n", + " Timestamp('2023-02-01 09:00:00'): nan,\n", + " Timestamp('2023-02-01 10:00:00'): nan,\n", + " Timestamp('2023-02-01 11:00:00'): nan,\n", + " Timestamp('2023-02-01 12:00:00'): nan,\n", + " Timestamp('2023-02-01 13:00:00'): nan,\n", + " Timestamp('2023-02-01 14:00:00'): nan,\n", + " Timestamp('2023-02-01 15:00:00'): nan,\n", + " Timestamp('2023-02-01 16:00:00'): nan,\n", + " Timestamp('2023-02-01 17:00:00'): nan,\n", + " Timestamp('2023-02-01 18:00:00'): nan,\n", + " Timestamp('2023-02-01 19:00:00'): nan,\n", + " Timestamp('2023-02-01 20:00:00'): nan,\n", + " Timestamp('2023-02-01 21:00:00'): nan,\n", + " Timestamp('2023-02-01 22:00:00'): nan,\n", + " Timestamp('2023-02-01 23:00:00'): nan,\n", + " Timestamp('2023-02-02 00:00:00'): nan,\n", + " Timestamp('2023-02-02 01:00:00'): nan,\n", + " Timestamp('2023-02-02 02:00:00'): nan,\n", + " Timestamp('2023-02-02 03:00:00'): nan,\n", + " Timestamp('2023-02-02 04:00:00'): nan,\n", + " Timestamp('2023-02-02 05:00:00'): nan,\n", + " Timestamp('2023-02-02 06:00:00'): nan,\n", + " Timestamp('2023-02-02 07:00:00'): nan,\n", + " Timestamp('2023-02-02 09:00:00'): nan,\n", + " Timestamp('2023-02-02 10:00:00'): nan,\n", + " Timestamp('2023-02-02 11:00:00'): nan,\n", + " Timestamp('2023-02-02 12:00:00'): nan,\n", + " Timestamp('2023-02-02 13:00:00'): nan,\n", + " Timestamp('2023-02-02 14:00:00'): nan,\n", + " Timestamp('2023-02-02 15:00:00'): nan,\n", + " Timestamp('2023-02-02 16:00:00'): nan,\n", + " Timestamp('2023-02-02 17:00:00'): nan,\n", + " Timestamp('2023-02-02 18:00:00'): nan,\n", + " Timestamp('2023-02-02 19:00:00'): nan,\n", + " Timestamp('2023-02-02 20:00:00'): nan,\n", + " Timestamp('2023-02-02 21:00:00'): nan,\n", + " Timestamp('2023-02-02 22:00:00'): nan,\n", + " Timestamp('2023-02-02 23:00:00'): nan,\n", + " Timestamp('2023-02-03 00:00:00'): nan,\n", + " Timestamp('2023-02-03 01:00:00'): nan,\n", + " Timestamp('2023-02-03 02:00:00'): nan,\n", + " Timestamp('2023-02-03 03:00:00'): nan,\n", + " Timestamp('2023-02-03 04:00:00'): nan,\n", + " Timestamp('2023-02-03 05:00:00'): nan,\n", + " Timestamp('2023-02-03 06:00:00'): nan,\n", + " Timestamp('2023-02-03 07:00:00'): nan,\n", + " Timestamp('2023-02-03 08:00:00'): nan,\n", + " Timestamp('2023-02-03 09:00:00'): nan,\n", + " Timestamp('2023-02-03 10:00:00'): nan,\n", + " Timestamp('2023-02-03 11:00:00'): nan,\n", + " Timestamp('2023-02-03 12:00:00'): nan,\n", + " Timestamp('2023-02-03 13:00:00'): nan,\n", + " Timestamp('2023-02-03 14:00:00'): nan,\n", + " Timestamp('2023-02-03 15:00:00'): nan,\n", + " Timestamp('2023-02-03 16:00:00'): nan,\n", + " Timestamp('2023-02-03 17:00:00'): nan,\n", + " Timestamp('2023-02-03 18:00:00'): nan,\n", + " Timestamp('2023-02-03 19:00:00'): nan,\n", + " Timestamp('2023-02-03 20:00:00'): nan,\n", + " Timestamp('2023-02-03 21:00:00'): nan,\n", + " Timestamp('2023-02-03 22:00:00'): nan,\n", + " Timestamp('2023-02-03 23:00:00'): nan,\n", + " Timestamp('2023-02-04 00:00:00'): nan,\n", + " Timestamp('2023-02-04 01:00:00'): nan,\n", + " Timestamp('2023-02-04 02:00:00'): nan,\n", + " Timestamp('2023-02-04 03:00:00'): nan,\n", + " Timestamp('2023-02-04 04:00:00'): nan,\n", + " Timestamp('2023-02-04 05:00:00'): nan,\n", + " Timestamp('2023-02-04 06:00:00'): nan,\n", + " Timestamp('2023-02-04 07:00:00'): nan,\n", + " Timestamp('2023-02-04 08:00:00'): nan,\n", + " Timestamp('2023-02-04 09:00:00'): nan,\n", + " Timestamp('2023-02-04 10:00:00'): nan,\n", + " Timestamp('2023-02-04 11:00:00'): nan,\n", + " Timestamp('2023-02-04 12:00:00'): nan,\n", + " Timestamp('2023-02-04 13:00:00'): nan,\n", + " Timestamp('2023-02-04 14:00:00'): nan,\n", + " Timestamp('2023-02-04 15:00:00'): nan,\n", + " Timestamp('2023-02-04 16:00:00'): nan,\n", + " Timestamp('2023-02-04 17:00:00'): nan,\n", + " Timestamp('2023-02-04 18:00:00'): nan,\n", + " Timestamp('2023-02-04 19:00:00'): nan,\n", + " Timestamp('2023-02-04 20:00:00'): nan,\n", + " Timestamp('2023-02-04 21:00:00'): nan,\n", + " Timestamp('2023-02-04 22:00:00'): nan,\n", + " Timestamp('2023-02-04 23:00:00'): nan,\n", + " Timestamp('2023-02-05 00:00:00'): nan,\n", + " Timestamp('2023-02-05 01:00:00'): nan,\n", + " Timestamp('2023-02-05 02:00:00'): nan,\n", + " Timestamp('2023-02-05 03:00:00'): nan,\n", + " Timestamp('2023-02-05 04:00:00'): nan,\n", + " Timestamp('2023-02-05 05:00:00'): nan,\n", + " Timestamp('2023-02-05 06:00:00'): nan,\n", + " Timestamp('2023-02-05 07:00:00'): nan,\n", + " Timestamp('2023-02-05 08:00:00'): nan,\n", + " Timestamp('2023-02-05 09:00:00'): nan,\n", + " Timestamp('2023-02-05 10:00:00'): nan,\n", + " Timestamp('2023-02-05 11:00:00'): nan,\n", + " Timestamp('2023-02-05 12:00:00'): nan,\n", + " Timestamp('2023-02-05 13:00:00'): nan,\n", + " Timestamp('2023-02-05 14:00:00'): nan,\n", + " Timestamp('2023-02-05 15:00:00'): nan,\n", + " Timestamp('2023-02-05 16:00:00'): nan,\n", + " Timestamp('2023-02-05 17:00:00'): nan,\n", + " Timestamp('2023-02-05 18:00:00'): nan,\n", + " Timestamp('2023-02-05 19:00:00'): nan,\n", + " Timestamp('2023-02-05 20:00:00'): nan,\n", + " Timestamp('2023-02-05 21:00:00'): nan,\n", + " Timestamp('2023-02-05 22:00:00'): nan,\n", + " Timestamp('2023-02-05 23:00:00'): nan,\n", + " Timestamp('2023-02-06 00:00:00'): nan,\n", + " Timestamp('2023-02-06 01:00:00'): nan,\n", + " Timestamp('2023-02-06 02:00:00'): nan,\n", + " Timestamp('2023-02-06 03:00:00'): nan,\n", + " Timestamp('2023-02-06 04:00:00'): nan,\n", + " Timestamp('2023-02-06 05:00:00'): nan,\n", + " Timestamp('2023-02-06 06:00:00'): nan,\n", + " Timestamp('2023-02-06 07:00:00'): nan,\n", + " Timestamp('2023-02-06 08:00:00'): nan,\n", + " Timestamp('2023-02-06 09:00:00'): nan,\n", + " Timestamp('2023-02-06 10:00:00'): nan,\n", + " Timestamp('2023-02-06 11:00:00'): nan,\n", + " Timestamp('2023-02-06 12:00:00'): nan,\n", + " Timestamp('2023-02-06 13:00:00'): nan,\n", + " Timestamp('2023-02-06 14:00:00'): nan,\n", + " Timestamp('2023-02-06 15:00:00'): nan,\n", + " Timestamp('2023-02-06 16:00:00'): nan,\n", + " Timestamp('2023-02-06 17:00:00'): nan,\n", + " Timestamp('2023-02-06 18:00:00'): nan,\n", + " Timestamp('2023-02-06 19:00:00'): nan,\n", + " Timestamp('2023-02-06 20:00:00'): nan,\n", + " Timestamp('2023-02-06 21:00:00'): nan,\n", + " Timestamp('2023-02-06 22:00:00'): nan,\n", + " Timestamp('2023-02-06 23:00:00'): nan,\n", + " Timestamp('2023-02-07 00:00:00'): nan,\n", + " Timestamp('2023-02-07 01:00:00'): nan,\n", + " Timestamp('2023-02-07 02:00:00'): nan,\n", + " Timestamp('2023-02-07 03:00:00'): nan,\n", + " Timestamp('2023-02-07 04:00:00'): nan,\n", + " Timestamp('2023-02-07 05:00:00'): nan,\n", + " Timestamp('2023-02-07 06:00:00'): nan,\n", + " Timestamp('2023-02-07 07:00:00'): nan,\n", + " Timestamp('2023-02-07 08:00:00'): nan,\n", + " Timestamp('2023-02-07 09:00:00'): nan,\n", + " Timestamp('2023-02-07 10:00:00'): nan,\n", + " Timestamp('2023-02-07 11:00:00'): nan,\n", + " Timestamp('2023-02-07 12:00:00'): nan,\n", + " Timestamp('2023-02-07 13:00:00'): nan,\n", + " Timestamp('2023-02-07 14:00:00'): nan,\n", + " Timestamp('2023-02-07 15:00:00'): nan,\n", + " Timestamp('2023-02-07 16:00:00'): nan,\n", + " Timestamp('2023-02-07 17:00:00'): nan,\n", + " Timestamp('2023-02-07 18:00:00'): nan,\n", + " Timestamp('2023-02-07 19:00:00'): nan,\n", + " Timestamp('2023-02-07 20:00:00'): nan,\n", + " Timestamp('2023-02-07 21:00:00'): nan,\n", + " Timestamp('2023-02-07 22:00:00'): nan,\n", + " Timestamp('2023-02-07 23:00:00'): nan,\n", + " Timestamp('2023-02-08 00:00:00'): nan,\n", + " Timestamp('2023-02-08 01:00:00'): nan,\n", + " Timestamp('2023-02-08 02:00:00'): nan,\n", + " Timestamp('2023-02-08 03:00:00'): nan,\n", + " Timestamp('2023-02-08 04:00:00'): nan,\n", + " Timestamp('2023-02-08 05:00:00'): nan,\n", + " Timestamp('2023-02-08 06:00:00'): nan,\n", + " Timestamp('2023-02-08 07:00:00'): nan,\n", + " Timestamp('2023-02-08 08:00:00'): nan,\n", + " Timestamp('2023-02-08 09:00:00'): nan,\n", + " Timestamp('2023-02-08 10:00:00'): nan,\n", + " Timestamp('2023-02-08 11:00:00'): nan,\n", + " Timestamp('2023-02-08 12:00:00'): nan,\n", + " Timestamp('2023-02-08 13:00:00'): nan,\n", + " Timestamp('2023-02-08 14:00:00'): nan,\n", + " Timestamp('2023-02-08 15:00:00'): nan,\n", + " Timestamp('2023-02-08 16:00:00'): nan,\n", + " Timestamp('2023-02-08 17:00:00'): nan,\n", + " Timestamp('2023-02-08 18:00:00'): nan,\n", + " Timestamp('2023-02-08 19:00:00'): nan,\n", + " Timestamp('2023-02-08 20:00:00'): nan,\n", + " Timestamp('2023-02-08 21:00:00'): nan,\n", + " Timestamp('2023-02-08 22:00:00'): nan,\n", + " Timestamp('2023-02-08 23:00:00'): nan,\n", + " Timestamp('2023-02-09 00:00:00'): nan,\n", + " Timestamp('2023-02-09 01:00:00'): nan,\n", + " Timestamp('2023-02-09 02:00:00'): nan,\n", + " Timestamp('2023-02-09 03:00:00'): nan,\n", + " Timestamp('2023-02-09 04:00:00'): nan,\n", + " Timestamp('2023-02-09 05:00:00'): nan,\n", + " Timestamp('2023-02-09 06:00:00'): nan,\n", + " Timestamp('2023-02-09 07:00:00'): nan,\n", + " Timestamp('2023-02-09 08:00:00'): nan,\n", + " Timestamp('2023-02-09 09:00:00'): nan,\n", + " Timestamp('2023-02-09 10:00:00'): nan,\n", + " Timestamp('2023-02-09 11:00:00'): nan,\n", + " Timestamp('2023-02-09 12:00:00'): nan,\n", + " Timestamp('2023-02-09 13:00:00'): nan,\n", + " Timestamp('2023-02-09 14:00:00'): nan,\n", + " Timestamp('2023-02-09 15:00:00'): nan,\n", + " Timestamp('2023-02-09 16:00:00'): nan,\n", + " Timestamp('2023-02-09 17:00:00'): nan,\n", + " Timestamp('2023-02-09 18:00:00'): nan,\n", + " Timestamp('2023-02-09 19:00:00'): nan,\n", + " Timestamp('2023-02-09 20:00:00'): nan,\n", + " Timestamp('2023-02-09 21:00:00'): nan,\n", + " Timestamp('2023-02-09 22:00:00'): nan,\n", + " Timestamp('2023-02-09 23:00:00'): nan,\n", + " Timestamp('2023-02-10 00:00:00'): nan,\n", + " Timestamp('2023-02-10 01:00:00'): nan,\n", + " Timestamp('2023-02-10 03:00:00'): nan,\n", + " Timestamp('2023-02-10 04:00:00'): nan,\n", + " Timestamp('2023-02-10 05:00:00'): nan,\n", + " Timestamp('2023-02-10 06:00:00'): nan,\n", + " Timestamp('2023-02-10 07:00:00'): nan,\n", + " Timestamp('2023-02-10 08:00:00'): nan,\n", + " Timestamp('2023-02-10 09:00:00'): nan,\n", + " Timestamp('2023-02-10 10:00:00'): nan,\n", + " Timestamp('2023-02-10 11:00:00'): nan,\n", + " Timestamp('2023-02-10 12:00:00'): nan,\n", + " Timestamp('2023-02-10 13:00:00'): nan,\n", + " Timestamp('2023-02-10 14:00:00'): nan,\n", + " Timestamp('2023-02-10 15:00:00'): nan,\n", + " Timestamp('2023-02-10 16:00:00'): nan,\n", + " Timestamp('2023-02-10 17:00:00'): nan,\n", + " Timestamp('2023-02-10 18:00:00'): nan,\n", + " Timestamp('2023-02-10 19:00:00'): nan,\n", + " Timestamp('2023-02-10 20:00:00'): nan,\n", + " Timestamp('2023-02-10 21:00:00'): nan,\n", + " Timestamp('2023-02-10 22:00:00'): nan,\n", + " Timestamp('2023-02-10 23:00:00'): nan,\n", + " Timestamp('2023-02-11 00:00:00'): nan,\n", + " Timestamp('2023-02-11 01:00:00'): nan,\n", + " Timestamp('2023-02-11 02:00:00'): nan,\n", + " Timestamp('2023-02-11 03:00:00'): nan,\n", + " Timestamp('2023-02-11 04:00:00'): nan,\n", + " Timestamp('2023-02-11 05:00:00'): nan,\n", + " Timestamp('2023-02-11 06:00:00'): nan,\n", + " Timestamp('2023-02-11 07:00:00'): nan,\n", + " Timestamp('2023-02-11 08:00:00'): nan,\n", + " Timestamp('2023-02-11 09:00:00'): nan,\n", + " Timestamp('2023-02-11 10:00:00'): nan,\n", + " Timestamp('2023-02-11 11:00:00'): nan,\n", + " Timestamp('2023-02-11 12:00:00'): nan,\n", + " Timestamp('2023-02-11 13:00:00'): nan,\n", + " Timestamp('2023-02-11 14:00:00'): nan,\n", + " Timestamp('2023-02-11 15:00:00'): nan,\n", + " Timestamp('2023-02-11 16:00:00'): nan,\n", + " Timestamp('2023-02-11 17:00:00'): nan,\n", + " Timestamp('2023-02-11 18:00:00'): nan,\n", + " Timestamp('2023-02-11 19:00:00'): nan,\n", + " ...},\n", + " 'DPD': {Timestamp('2023-01-01 00:00:00'): nan,\n", + " Timestamp('2023-01-01 01:00:00'): nan,\n", + " Timestamp('2023-01-01 02:00:00'): nan,\n", + " Timestamp('2023-01-01 03:00:00'): nan,\n", + " Timestamp('2023-01-01 04:00:00'): nan,\n", + " Timestamp('2023-01-01 05:00:00'): nan,\n", + " Timestamp('2023-01-01 06:00:00'): nan,\n", + " Timestamp('2023-01-01 07:00:00'): nan,\n", + " Timestamp('2023-01-01 08:00:00'): nan,\n", + " Timestamp('2023-01-01 09:00:00'): nan,\n", + " Timestamp('2023-01-01 10:00:00'): nan,\n", + " Timestamp('2023-01-01 11:00:00'): nan,\n", + " Timestamp('2023-01-01 12:00:00'): nan,\n", + " Timestamp('2023-01-01 13:00:00'): nan,\n", + " Timestamp('2023-01-01 14:00:00'): nan,\n", + " Timestamp('2023-01-01 15:00:00'): nan,\n", + " Timestamp('2023-01-01 16:00:00'): nan,\n", + " Timestamp('2023-01-01 17:00:00'): nan,\n", + " Timestamp('2023-01-01 18:00:00'): nan,\n", + " Timestamp('2023-01-01 19:00:00'): nan,\n", + " Timestamp('2023-01-01 20:00:00'): nan,\n", + " Timestamp('2023-01-01 21:00:00'): nan,\n", + " Timestamp('2023-01-01 22:00:00'): nan,\n", + " Timestamp('2023-01-01 23:00:00'): nan,\n", + " Timestamp('2023-01-02 00:00:00'): nan,\n", + " Timestamp('2023-01-02 01:00:00'): nan,\n", + " Timestamp('2023-01-02 02:00:00'): nan,\n", + " Timestamp('2023-01-02 03:00:00'): nan,\n", + " Timestamp('2023-01-02 04:00:00'): nan,\n", + " Timestamp('2023-01-02 05:00:00'): nan,\n", + " 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Timestamp('2023-02-01 02:00:00'): nan,\n", + " Timestamp('2023-02-01 03:00:00'): nan,\n", + " Timestamp('2023-02-01 04:00:00'): nan,\n", + " Timestamp('2023-02-01 05:00:00'): nan,\n", + " Timestamp('2023-02-01 06:00:00'): nan,\n", + " Timestamp('2023-02-01 07:00:00'): nan,\n", + " Timestamp('2023-02-01 08:00:00'): nan,\n", + " Timestamp('2023-02-01 09:00:00'): nan,\n", + " Timestamp('2023-02-01 10:00:00'): nan,\n", + " Timestamp('2023-02-01 11:00:00'): nan,\n", + " Timestamp('2023-02-01 12:00:00'): nan,\n", + " Timestamp('2023-02-01 13:00:00'): nan,\n", + " Timestamp('2023-02-01 14:00:00'): nan,\n", + " Timestamp('2023-02-01 15:00:00'): nan,\n", + " Timestamp('2023-02-01 16:00:00'): nan,\n", + " Timestamp('2023-02-01 17:00:00'): nan,\n", + " Timestamp('2023-02-01 18:00:00'): nan,\n", + " Timestamp('2023-02-01 19:00:00'): nan,\n", + " Timestamp('2023-02-01 20:00:00'): nan,\n", + " Timestamp('2023-02-01 21:00:00'): nan,\n", + " Timestamp('2023-02-01 22:00:00'): nan,\n", + " Timestamp('2023-02-01 23:00:00'): nan,\n", + " Timestamp('2023-02-02 00:00:00'): nan,\n", + " Timestamp('2023-02-02 01:00:00'): nan,\n", + " Timestamp('2023-02-02 02:00:00'): nan,\n", + " Timestamp('2023-02-02 03:00:00'): nan,\n", + " Timestamp('2023-02-02 04:00:00'): nan,\n", + " Timestamp('2023-02-02 05:00:00'): nan,\n", + " Timestamp('2023-02-02 06:00:00'): nan,\n", + " Timestamp('2023-02-02 07:00:00'): nan,\n", + " Timestamp('2023-02-02 09:00:00'): nan,\n", + " Timestamp('2023-02-02 10:00:00'): nan,\n", + " Timestamp('2023-02-02 11:00:00'): nan,\n", + " Timestamp('2023-02-02 12:00:00'): nan,\n", + " Timestamp('2023-02-02 13:00:00'): nan,\n", + " Timestamp('2023-02-02 14:00:00'): nan,\n", + " Timestamp('2023-02-02 15:00:00'): nan,\n", + " Timestamp('2023-02-02 16:00:00'): nan,\n", + " Timestamp('2023-02-02 17:00:00'): nan,\n", + " Timestamp('2023-02-02 18:00:00'): nan,\n", + " Timestamp('2023-02-02 19:00:00'): nan,\n", + " Timestamp('2023-02-02 20:00:00'): nan,\n", + " Timestamp('2023-02-02 21:00:00'): nan,\n", + " Timestamp('2023-02-02 22:00:00'): nan,\n", + " Timestamp('2023-02-02 23:00:00'): nan,\n", + " Timestamp('2023-02-03 00:00:00'): nan,\n", + " Timestamp('2023-02-03 01:00:00'): nan,\n", + " Timestamp('2023-02-03 02:00:00'): nan,\n", + " Timestamp('2023-02-03 03:00:00'): nan,\n", + " Timestamp('2023-02-03 04:00:00'): nan,\n", + " Timestamp('2023-02-03 05:00:00'): nan,\n", + " Timestamp('2023-02-03 06:00:00'): nan,\n", + " Timestamp('2023-02-03 07:00:00'): nan,\n", + " Timestamp('2023-02-03 08:00:00'): nan,\n", + " Timestamp('2023-02-03 09:00:00'): nan,\n", + " Timestamp('2023-02-03 10:00:00'): nan,\n", + " Timestamp('2023-02-03 11:00:00'): nan,\n", + " Timestamp('2023-02-03 12:00:00'): nan,\n", + " Timestamp('2023-02-03 13:00:00'): nan,\n", + " Timestamp('2023-02-03 14:00:00'): nan,\n", + " Timestamp('2023-02-03 15:00:00'): nan,\n", + " Timestamp('2023-02-03 16:00:00'): nan,\n", + " Timestamp('2023-02-03 17:00:00'): nan,\n", + " Timestamp('2023-02-03 18:00:00'): nan,\n", + " Timestamp('2023-02-03 19:00:00'): nan,\n", + " Timestamp('2023-02-03 20:00:00'): nan,\n", + " Timestamp('2023-02-03 21:00:00'): nan,\n", + " Timestamp('2023-02-03 22:00:00'): nan,\n", + " Timestamp('2023-02-03 23:00:00'): nan,\n", + " Timestamp('2023-02-04 00:00:00'): nan,\n", + " Timestamp('2023-02-04 01:00:00'): nan,\n", + " Timestamp('2023-02-04 02:00:00'): nan,\n", + " Timestamp('2023-02-04 03:00:00'): nan,\n", + " Timestamp('2023-02-04 04:00:00'): nan,\n", + " Timestamp('2023-02-04 05:00:00'): nan,\n", + " Timestamp('2023-02-04 06:00:00'): nan,\n", + " Timestamp('2023-02-04 07:00:00'): nan,\n", + " Timestamp('2023-02-04 08:00:00'): nan,\n", + " Timestamp('2023-02-04 09:00:00'): nan,\n", + " Timestamp('2023-02-04 10:00:00'): nan,\n", + " Timestamp('2023-02-04 11:00:00'): nan,\n", + " Timestamp('2023-02-04 12:00:00'): nan,\n", + " Timestamp('2023-02-04 13:00:00'): nan,\n", + " Timestamp('2023-02-04 14:00:00'): nan,\n", + " Timestamp('2023-02-04 15:00:00'): nan,\n", + " Timestamp('2023-02-04 16:00:00'): nan,\n", + " Timestamp('2023-02-04 17:00:00'): nan,\n", + " Timestamp('2023-02-04 18:00:00'): nan,\n", + " Timestamp('2023-02-04 19:00:00'): nan,\n", + " Timestamp('2023-02-04 20:00:00'): nan,\n", + " Timestamp('2023-02-04 21:00:00'): nan,\n", + " Timestamp('2023-02-04 22:00:00'): nan,\n", + " Timestamp('2023-02-04 23:00:00'): nan,\n", + " Timestamp('2023-02-05 00:00:00'): nan,\n", + " Timestamp('2023-02-05 01:00:00'): nan,\n", + " Timestamp('2023-02-05 02:00:00'): nan,\n", + " Timestamp('2023-02-05 03:00:00'): nan,\n", + " Timestamp('2023-02-05 04:00:00'): nan,\n", + " Timestamp('2023-02-05 05:00:00'): nan,\n", + " Timestamp('2023-02-05 06:00:00'): nan,\n", + " Timestamp('2023-02-05 07:00:00'): nan,\n", + " Timestamp('2023-02-05 08:00:00'): nan,\n", + " Timestamp('2023-02-05 09:00:00'): nan,\n", + " Timestamp('2023-02-05 10:00:00'): nan,\n", + " Timestamp('2023-02-05 11:00:00'): nan,\n", + " Timestamp('2023-02-05 12:00:00'): nan,\n", + " Timestamp('2023-02-05 13:00:00'): nan,\n", + " Timestamp('2023-02-05 14:00:00'): nan,\n", + " Timestamp('2023-02-05 15:00:00'): nan,\n", + " Timestamp('2023-02-05 16:00:00'): nan,\n", + " Timestamp('2023-02-05 17:00:00'): nan,\n", + " Timestamp('2023-02-05 18:00:00'): nan,\n", + " Timestamp('2023-02-05 19:00:00'): nan,\n", + " Timestamp('2023-02-05 20:00:00'): nan,\n", + " Timestamp('2023-02-05 21:00:00'): nan,\n", + " Timestamp('2023-02-05 22:00:00'): nan,\n", + " Timestamp('2023-02-05 23:00:00'): nan,\n", + " Timestamp('2023-02-06 00:00:00'): nan,\n", + " Timestamp('2023-02-06 01:00:00'): nan,\n", + " Timestamp('2023-02-06 02:00:00'): nan,\n", + " Timestamp('2023-02-06 03:00:00'): nan,\n", + " Timestamp('2023-02-06 04:00:00'): nan,\n", + " Timestamp('2023-02-06 05:00:00'): nan,\n", + " Timestamp('2023-02-06 06:00:00'): nan,\n", + " Timestamp('2023-02-06 07:00:00'): nan,\n", + " Timestamp('2023-02-06 08:00:00'): nan,\n", + " Timestamp('2023-02-06 09:00:00'): nan,\n", + " Timestamp('2023-02-06 10:00:00'): nan,\n", + " Timestamp('2023-02-06 11:00:00'): nan,\n", + " Timestamp('2023-02-06 12:00:00'): nan,\n", + " Timestamp('2023-02-06 13:00:00'): nan,\n", + " Timestamp('2023-02-06 14:00:00'): nan,\n", + " Timestamp('2023-02-06 15:00:00'): nan,\n", + " Timestamp('2023-02-06 16:00:00'): nan,\n", + " Timestamp('2023-02-06 17:00:00'): nan,\n", + " Timestamp('2023-02-06 18:00:00'): nan,\n", + " Timestamp('2023-02-06 19:00:00'): nan,\n", + " Timestamp('2023-02-06 20:00:00'): nan,\n", + " Timestamp('2023-02-06 21:00:00'): nan,\n", + " Timestamp('2023-02-06 22:00:00'): nan,\n", + " Timestamp('2023-02-06 23:00:00'): nan,\n", + " Timestamp('2023-02-07 00:00:00'): nan,\n", + " Timestamp('2023-02-07 01:00:00'): nan,\n", + " Timestamp('2023-02-07 02:00:00'): nan,\n", + " Timestamp('2023-02-07 03:00:00'): nan,\n", + " Timestamp('2023-02-07 04:00:00'): nan,\n", + " Timestamp('2023-02-07 05:00:00'): nan,\n", + " Timestamp('2023-02-07 06:00:00'): nan,\n", + " Timestamp('2023-02-07 07:00:00'): nan,\n", + " Timestamp('2023-02-07 08:00:00'): nan,\n", + " Timestamp('2023-02-07 09:00:00'): nan,\n", + " Timestamp('2023-02-07 10:00:00'): nan,\n", + " Timestamp('2023-02-07 11:00:00'): nan,\n", + " Timestamp('2023-02-07 12:00:00'): nan,\n", + " Timestamp('2023-02-07 13:00:00'): nan,\n", + " Timestamp('2023-02-07 14:00:00'): nan,\n", + " Timestamp('2023-02-07 15:00:00'): nan,\n", + " Timestamp('2023-02-07 16:00:00'): nan,\n", + " Timestamp('2023-02-07 17:00:00'): nan,\n", + " Timestamp('2023-02-07 18:00:00'): nan,\n", + " Timestamp('2023-02-07 19:00:00'): nan,\n", + " Timestamp('2023-02-07 20:00:00'): nan,\n", + " Timestamp('2023-02-07 21:00:00'): nan,\n", + " Timestamp('2023-02-07 22:00:00'): nan,\n", + " Timestamp('2023-02-07 23:00:00'): nan,\n", + " Timestamp('2023-02-08 00:00:00'): nan,\n", + " Timestamp('2023-02-08 01:00:00'): nan,\n", + " Timestamp('2023-02-08 02:00:00'): nan,\n", + " Timestamp('2023-02-08 03:00:00'): nan,\n", + " Timestamp('2023-02-08 04:00:00'): nan,\n", + " Timestamp('2023-02-08 05:00:00'): nan,\n", + " Timestamp('2023-02-08 06:00:00'): nan,\n", + " Timestamp('2023-02-08 07:00:00'): nan,\n", + " Timestamp('2023-02-08 08:00:00'): nan,\n", + " Timestamp('2023-02-08 09:00:00'): nan,\n", + " Timestamp('2023-02-08 10:00:00'): nan,\n", + " Timestamp('2023-02-08 11:00:00'): nan,\n", + " Timestamp('2023-02-08 12:00:00'): nan,\n", + " Timestamp('2023-02-08 13:00:00'): nan,\n", + " Timestamp('2023-02-08 14:00:00'): nan,\n", + " Timestamp('2023-02-08 15:00:00'): nan,\n", + " Timestamp('2023-02-08 16:00:00'): nan,\n", + " Timestamp('2023-02-08 17:00:00'): nan,\n", + " Timestamp('2023-02-08 18:00:00'): nan,\n", + " Timestamp('2023-02-08 19:00:00'): nan,\n", + " Timestamp('2023-02-08 20:00:00'): nan,\n", + " Timestamp('2023-02-08 21:00:00'): nan,\n", + " Timestamp('2023-02-08 22:00:00'): nan,\n", + " Timestamp('2023-02-08 23:00:00'): nan,\n", + " Timestamp('2023-02-09 00:00:00'): nan,\n", + " Timestamp('2023-02-09 01:00:00'): nan,\n", + " Timestamp('2023-02-09 02:00:00'): nan,\n", + " Timestamp('2023-02-09 03:00:00'): nan,\n", + " Timestamp('2023-02-09 04:00:00'): nan,\n", + " Timestamp('2023-02-09 05:00:00'): nan,\n", + " Timestamp('2023-02-09 06:00:00'): nan,\n", + " Timestamp('2023-02-09 07:00:00'): nan,\n", + " Timestamp('2023-02-09 08:00:00'): nan,\n", + " Timestamp('2023-02-09 09:00:00'): nan,\n", + " Timestamp('2023-02-09 10:00:00'): nan,\n", + " Timestamp('2023-02-09 11:00:00'): nan,\n", + " Timestamp('2023-02-09 12:00:00'): nan,\n", + " Timestamp('2023-02-09 13:00:00'): nan,\n", + " Timestamp('2023-02-09 14:00:00'): nan,\n", + " Timestamp('2023-02-09 15:00:00'): nan,\n", + " Timestamp('2023-02-09 16:00:00'): nan,\n", + " Timestamp('2023-02-09 17:00:00'): nan,\n", + " Timestamp('2023-02-09 18:00:00'): nan,\n", + " Timestamp('2023-02-09 19:00:00'): nan,\n", + " Timestamp('2023-02-09 20:00:00'): nan,\n", + " Timestamp('2023-02-09 21:00:00'): nan,\n", + " Timestamp('2023-02-09 22:00:00'): nan,\n", + " Timestamp('2023-02-09 23:00:00'): nan,\n", + " Timestamp('2023-02-10 00:00:00'): nan,\n", + " Timestamp('2023-02-10 01:00:00'): nan,\n", + " Timestamp('2023-02-10 03:00:00'): nan,\n", + " Timestamp('2023-02-10 04:00:00'): nan,\n", + " Timestamp('2023-02-10 05:00:00'): nan,\n", + " Timestamp('2023-02-10 06:00:00'): nan,\n", + " Timestamp('2023-02-10 07:00:00'): nan,\n", + " Timestamp('2023-02-10 08:00:00'): nan,\n", + " Timestamp('2023-02-10 09:00:00'): nan,\n", + " Timestamp('2023-02-10 10:00:00'): nan,\n", + " Timestamp('2023-02-10 11:00:00'): nan,\n", + " Timestamp('2023-02-10 12:00:00'): nan,\n", + " Timestamp('2023-02-10 13:00:00'): nan,\n", + " Timestamp('2023-02-10 14:00:00'): nan,\n", + " Timestamp('2023-02-10 15:00:00'): nan,\n", + " Timestamp('2023-02-10 16:00:00'): nan,\n", + " Timestamp('2023-02-10 17:00:00'): nan,\n", + " Timestamp('2023-02-10 18:00:00'): nan,\n", + " Timestamp('2023-02-10 19:00:00'): nan,\n", + " Timestamp('2023-02-10 20:00:00'): nan,\n", + " Timestamp('2023-02-10 21:00:00'): nan,\n", + " Timestamp('2023-02-10 22:00:00'): nan,\n", + " Timestamp('2023-02-10 23:00:00'): nan,\n", + " Timestamp('2023-02-11 00:00:00'): nan,\n", + " Timestamp('2023-02-11 01:00:00'): nan,\n", + " Timestamp('2023-02-11 02:00:00'): nan,\n", + " Timestamp('2023-02-11 03:00:00'): nan,\n", + " Timestamp('2023-02-11 04:00:00'): nan,\n", + " Timestamp('2023-02-11 05:00:00'): nan,\n", + " Timestamp('2023-02-11 06:00:00'): nan,\n", + " Timestamp('2023-02-11 07:00:00'): nan,\n", + " Timestamp('2023-02-11 08:00:00'): nan,\n", + " Timestamp('2023-02-11 09:00:00'): nan,\n", + " Timestamp('2023-02-11 10:00:00'): nan,\n", + " Timestamp('2023-02-11 11:00:00'): nan,\n", + " Timestamp('2023-02-11 12:00:00'): nan,\n", + " Timestamp('2023-02-11 13:00:00'): nan,\n", + " Timestamp('2023-02-11 14:00:00'): nan,\n", + " Timestamp('2023-02-11 15:00:00'): nan,\n", + " Timestamp('2023-02-11 16:00:00'): nan,\n", + " Timestamp('2023-02-11 17:00:00'): nan,\n", + " Timestamp('2023-02-11 18:00:00'): nan,\n", + " Timestamp('2023-02-11 19:00:00'): nan,\n", + " ...},\n", + " 'APD': {Timestamp('2023-01-01 00:00:00'): nan,\n", + " Timestamp('2023-01-01 01:00:00'): nan,\n", + " Timestamp('2023-01-01 02:00:00'): nan,\n", + " Timestamp('2023-01-01 03:00:00'): nan,\n", + " Timestamp('2023-01-01 04:00:00'): nan,\n", + " Timestamp('2023-01-01 05:00:00'): nan,\n", + " Timestamp('2023-01-01 06:00:00'): nan,\n", + " Timestamp('2023-01-01 07:00:00'): nan,\n", + " Timestamp('2023-01-01 08:00:00'): nan,\n", + " Timestamp('2023-01-01 09:00:00'): nan,\n", + " Timestamp('2023-01-01 10:00:00'): nan,\n", + " Timestamp('2023-01-01 11:00:00'): nan,\n", + " Timestamp('2023-01-01 12:00:00'): nan,\n", + " Timestamp('2023-01-01 13:00:00'): nan,\n", + " Timestamp('2023-01-01 14:00:00'): nan,\n", + " Timestamp('2023-01-01 15:00:00'): nan,\n", + " Timestamp('2023-01-01 16:00:00'): nan,\n", + " Timestamp('2023-01-01 17:00:00'): nan,\n", + " Timestamp('2023-01-01 18:00:00'): nan,\n", + " Timestamp('2023-01-01 19:00:00'): nan,\n", + " Timestamp('2023-01-01 20:00:00'): nan,\n", + " Timestamp('2023-01-01 21:00:00'): nan,\n", + " Timestamp('2023-01-01 22:00:00'): nan,\n", + " Timestamp('2023-01-01 23:00:00'): nan,\n", + " Timestamp('2023-01-02 00:00:00'): nan,\n", + " Timestamp('2023-01-02 01:00:00'): nan,\n", + " Timestamp('2023-01-02 02:00:00'): nan,\n", + " Timestamp('2023-01-02 03:00:00'): nan,\n", + " Timestamp('2023-01-02 04:00:00'): nan,\n", + " Timestamp('2023-01-02 05:00:00'): nan,\n", + " Timestamp('2023-01-02 06:00:00'): nan,\n", + " Timestamp('2023-01-02 07:00:00'): nan,\n", + " Timestamp('2023-01-02 08:00:00'): nan,\n", + " Timestamp('2023-01-02 09:00:00'): nan,\n", + " Timestamp('2023-01-02 10:00:00'): nan,\n", + " Timestamp('2023-01-02 11:00:00'): nan,\n", + " Timestamp('2023-01-02 12:00:00'): nan,\n", + " Timestamp('2023-01-02 13:00:00'): nan,\n", + " 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Timestamp('2023-02-02 07:00:00'): nan,\n", + " Timestamp('2023-02-02 09:00:00'): nan,\n", + " Timestamp('2023-02-02 10:00:00'): nan,\n", + " Timestamp('2023-02-02 11:00:00'): nan,\n", + " Timestamp('2023-02-02 12:00:00'): nan,\n", + " Timestamp('2023-02-02 13:00:00'): nan,\n", + " Timestamp('2023-02-02 14:00:00'): nan,\n", + " Timestamp('2023-02-02 15:00:00'): nan,\n", + " Timestamp('2023-02-02 16:00:00'): nan,\n", + " Timestamp('2023-02-02 17:00:00'): nan,\n", + " Timestamp('2023-02-02 18:00:00'): nan,\n", + " Timestamp('2023-02-02 19:00:00'): nan,\n", + " Timestamp('2023-02-02 20:00:00'): nan,\n", + " Timestamp('2023-02-02 21:00:00'): nan,\n", + " Timestamp('2023-02-02 22:00:00'): nan,\n", + " Timestamp('2023-02-02 23:00:00'): nan,\n", + " Timestamp('2023-02-03 00:00:00'): nan,\n", + " Timestamp('2023-02-03 01:00:00'): nan,\n", + " Timestamp('2023-02-03 02:00:00'): nan,\n", + " Timestamp('2023-02-03 03:00:00'): nan,\n", + " Timestamp('2023-02-03 04:00:00'): nan,\n", + " 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Timestamp('2023-02-06 17:00:00'): nan,\n", + " Timestamp('2023-02-06 18:00:00'): nan,\n", + " Timestamp('2023-02-06 19:00:00'): nan,\n", + " Timestamp('2023-02-06 20:00:00'): nan,\n", + " Timestamp('2023-02-06 21:00:00'): nan,\n", + " Timestamp('2023-02-06 22:00:00'): nan,\n", + " Timestamp('2023-02-06 23:00:00'): nan,\n", + " Timestamp('2023-02-07 00:00:00'): nan,\n", + " Timestamp('2023-02-07 01:00:00'): nan,\n", + " Timestamp('2023-02-07 02:00:00'): nan,\n", + " Timestamp('2023-02-07 03:00:00'): nan,\n", + " Timestamp('2023-02-07 04:00:00'): nan,\n", + " Timestamp('2023-02-07 05:00:00'): nan,\n", + " Timestamp('2023-02-07 06:00:00'): nan,\n", + " Timestamp('2023-02-07 07:00:00'): nan,\n", + " Timestamp('2023-02-07 08:00:00'): nan,\n", + " Timestamp('2023-02-07 09:00:00'): nan,\n", + " Timestamp('2023-02-07 10:00:00'): nan,\n", + " Timestamp('2023-02-07 11:00:00'): nan,\n", + " Timestamp('2023-02-07 12:00:00'): nan,\n", + " Timestamp('2023-02-07 13:00:00'): nan,\n", + " Timestamp('2023-02-07 14:00:00'): nan,\n", + " Timestamp('2023-02-07 15:00:00'): nan,\n", + " Timestamp('2023-02-07 16:00:00'): nan,\n", + " Timestamp('2023-02-07 17:00:00'): nan,\n", + " Timestamp('2023-02-07 18:00:00'): nan,\n", + " Timestamp('2023-02-07 19:00:00'): nan,\n", + " Timestamp('2023-02-07 20:00:00'): nan,\n", + " Timestamp('2023-02-07 21:00:00'): nan,\n", + " Timestamp('2023-02-07 22:00:00'): nan,\n", + " Timestamp('2023-02-07 23:00:00'): nan,\n", + " Timestamp('2023-02-08 00:00:00'): nan,\n", + " Timestamp('2023-02-08 01:00:00'): nan,\n", + " Timestamp('2023-02-08 02:00:00'): nan,\n", + " Timestamp('2023-02-08 03:00:00'): nan,\n", + " Timestamp('2023-02-08 04:00:00'): nan,\n", + " Timestamp('2023-02-08 05:00:00'): nan,\n", + " Timestamp('2023-02-08 06:00:00'): nan,\n", + " Timestamp('2023-02-08 07:00:00'): nan,\n", + " Timestamp('2023-02-08 08:00:00'): nan,\n", + " Timestamp('2023-02-08 09:00:00'): nan,\n", + " Timestamp('2023-02-08 10:00:00'): nan,\n", + " 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Timestamp('2023-02-10 06:00:00'): nan,\n", + " Timestamp('2023-02-10 07:00:00'): nan,\n", + " Timestamp('2023-02-10 08:00:00'): nan,\n", + " Timestamp('2023-02-10 09:00:00'): nan,\n", + " Timestamp('2023-02-10 10:00:00'): nan,\n", + " Timestamp('2023-02-10 11:00:00'): nan,\n", + " Timestamp('2023-02-10 12:00:00'): nan,\n", + " Timestamp('2023-02-10 13:00:00'): nan,\n", + " Timestamp('2023-02-10 14:00:00'): nan,\n", + " Timestamp('2023-02-10 15:00:00'): nan,\n", + " Timestamp('2023-02-10 16:00:00'): nan,\n", + " Timestamp('2023-02-10 17:00:00'): nan,\n", + " Timestamp('2023-02-10 18:00:00'): nan,\n", + " Timestamp('2023-02-10 19:00:00'): nan,\n", + " Timestamp('2023-02-10 20:00:00'): nan,\n", + " Timestamp('2023-02-10 21:00:00'): nan,\n", + " Timestamp('2023-02-10 22:00:00'): nan,\n", + " Timestamp('2023-02-10 23:00:00'): nan,\n", + " Timestamp('2023-02-11 00:00:00'): nan,\n", + " Timestamp('2023-02-11 01:00:00'): nan,\n", + " Timestamp('2023-02-11 02:00:00'): nan,\n", + " 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Timestamp('2023-02-01 18:00:00'): nan,\n", + " Timestamp('2023-02-01 19:00:00'): nan,\n", + " Timestamp('2023-02-01 20:00:00'): nan,\n", + " Timestamp('2023-02-01 21:00:00'): nan,\n", + " Timestamp('2023-02-01 22:00:00'): nan,\n", + " Timestamp('2023-02-01 23:00:00'): nan,\n", + " Timestamp('2023-02-02 00:00:00'): nan,\n", + " Timestamp('2023-02-02 01:00:00'): nan,\n", + " Timestamp('2023-02-02 02:00:00'): nan,\n", + " Timestamp('2023-02-02 03:00:00'): nan,\n", + " Timestamp('2023-02-02 04:00:00'): nan,\n", + " Timestamp('2023-02-02 05:00:00'): nan,\n", + " Timestamp('2023-02-02 06:00:00'): nan,\n", + " Timestamp('2023-02-02 07:00:00'): nan,\n", + " Timestamp('2023-02-02 09:00:00'): nan,\n", + " Timestamp('2023-02-02 10:00:00'): nan,\n", + " Timestamp('2023-02-02 11:00:00'): nan,\n", + " Timestamp('2023-02-02 12:00:00'): nan,\n", + " Timestamp('2023-02-02 13:00:00'): nan,\n", + " Timestamp('2023-02-02 14:00:00'): nan,\n", + " Timestamp('2023-02-02 15:00:00'): nan,\n", + " Timestamp('2023-02-02 16:00:00'): nan,\n", + " Timestamp('2023-02-02 17:00:00'): nan,\n", + " Timestamp('2023-02-02 18:00:00'): nan,\n", + " Timestamp('2023-02-02 19:00:00'): nan,\n", + " Timestamp('2023-02-02 20:00:00'): nan,\n", + " Timestamp('2023-02-02 21:00:00'): nan,\n", + " Timestamp('2023-02-02 22:00:00'): nan,\n", + " Timestamp('2023-02-02 23:00:00'): nan,\n", + " Timestamp('2023-02-03 00:00:00'): nan,\n", + " Timestamp('2023-02-03 01:00:00'): nan,\n", + " Timestamp('2023-02-03 02:00:00'): nan,\n", + " Timestamp('2023-02-03 03:00:00'): nan,\n", + " Timestamp('2023-02-03 04:00:00'): nan,\n", + " Timestamp('2023-02-03 05:00:00'): nan,\n", + " Timestamp('2023-02-03 06:00:00'): nan,\n", + " Timestamp('2023-02-03 07:00:00'): nan,\n", + " Timestamp('2023-02-03 08:00:00'): nan,\n", + " Timestamp('2023-02-03 09:00:00'): nan,\n", + " Timestamp('2023-02-03 10:00:00'): nan,\n", + " Timestamp('2023-02-03 11:00:00'): nan,\n", + " Timestamp('2023-02-03 12:00:00'): nan,\n", + " Timestamp('2023-02-03 13:00:00'): nan,\n", + " Timestamp('2023-02-03 14:00:00'): nan,\n", + " Timestamp('2023-02-03 15:00:00'): nan,\n", + " Timestamp('2023-02-03 16:00:00'): nan,\n", + " Timestamp('2023-02-03 17:00:00'): nan,\n", + " Timestamp('2023-02-03 18:00:00'): nan,\n", + " Timestamp('2023-02-03 19:00:00'): nan,\n", + " Timestamp('2023-02-03 20:00:00'): nan,\n", + " Timestamp('2023-02-03 21:00:00'): nan,\n", + " Timestamp('2023-02-03 22:00:00'): nan,\n", + " Timestamp('2023-02-03 23:00:00'): nan,\n", + " Timestamp('2023-02-04 00:00:00'): nan,\n", + " Timestamp('2023-02-04 01:00:00'): nan,\n", + " Timestamp('2023-02-04 02:00:00'): nan,\n", + " Timestamp('2023-02-04 03:00:00'): nan,\n", + " Timestamp('2023-02-04 04:00:00'): nan,\n", + " Timestamp('2023-02-04 05:00:00'): nan,\n", + " Timestamp('2023-02-04 06:00:00'): nan,\n", + " Timestamp('2023-02-04 07:00:00'): nan,\n", + " Timestamp('2023-02-04 08:00:00'): nan,\n", + " Timestamp('2023-02-04 09:00:00'): nan,\n", + " Timestamp('2023-02-04 10:00:00'): nan,\n", + " Timestamp('2023-02-04 11:00:00'): nan,\n", + " Timestamp('2023-02-04 12:00:00'): nan,\n", + " Timestamp('2023-02-04 13:00:00'): nan,\n", + " Timestamp('2023-02-04 14:00:00'): nan,\n", + " Timestamp('2023-02-04 15:00:00'): nan,\n", + " Timestamp('2023-02-04 16:00:00'): nan,\n", + " Timestamp('2023-02-04 17:00:00'): nan,\n", + " Timestamp('2023-02-04 18:00:00'): nan,\n", + " Timestamp('2023-02-04 19:00:00'): nan,\n", + " Timestamp('2023-02-04 20:00:00'): nan,\n", + " Timestamp('2023-02-04 21:00:00'): nan,\n", + " Timestamp('2023-02-04 22:00:00'): nan,\n", + " Timestamp('2023-02-04 23:00:00'): nan,\n", + " Timestamp('2023-02-05 00:00:00'): nan,\n", + " Timestamp('2023-02-05 01:00:00'): nan,\n", + " Timestamp('2023-02-05 02:00:00'): nan,\n", + " Timestamp('2023-02-05 03:00:00'): nan,\n", + " Timestamp('2023-02-05 04:00:00'): nan,\n", + " Timestamp('2023-02-05 05:00:00'): nan,\n", + " Timestamp('2023-02-05 06:00:00'): nan,\n", + " Timestamp('2023-02-05 07:00:00'): nan,\n", + " Timestamp('2023-02-05 08:00:00'): nan,\n", + " Timestamp('2023-02-05 09:00:00'): nan,\n", + " Timestamp('2023-02-05 10:00:00'): nan,\n", + " Timestamp('2023-02-05 11:00:00'): nan,\n", + " Timestamp('2023-02-05 12:00:00'): nan,\n", + " Timestamp('2023-02-05 13:00:00'): nan,\n", + " Timestamp('2023-02-05 14:00:00'): nan,\n", + " Timestamp('2023-02-05 15:00:00'): nan,\n", + " Timestamp('2023-02-05 16:00:00'): nan,\n", + " Timestamp('2023-02-05 17:00:00'): nan,\n", + " Timestamp('2023-02-05 18:00:00'): nan,\n", + " Timestamp('2023-02-05 19:00:00'): nan,\n", + " Timestamp('2023-02-05 20:00:00'): nan,\n", + " Timestamp('2023-02-05 21:00:00'): nan,\n", + " Timestamp('2023-02-05 22:00:00'): nan,\n", + " Timestamp('2023-02-05 23:00:00'): nan,\n", + " Timestamp('2023-02-06 00:00:00'): nan,\n", + " Timestamp('2023-02-06 01:00:00'): nan,\n", + " Timestamp('2023-02-06 02:00:00'): nan,\n", + " Timestamp('2023-02-06 03:00:00'): nan,\n", + " Timestamp('2023-02-06 04:00:00'): nan,\n", + " Timestamp('2023-02-06 05:00:00'): nan,\n", + " Timestamp('2023-02-06 06:00:00'): nan,\n", + " Timestamp('2023-02-06 07:00:00'): nan,\n", + " Timestamp('2023-02-06 08:00:00'): nan,\n", + " Timestamp('2023-02-06 09:00:00'): nan,\n", + " Timestamp('2023-02-06 10:00:00'): nan,\n", + " Timestamp('2023-02-06 11:00:00'): nan,\n", + " Timestamp('2023-02-06 12:00:00'): nan,\n", + " Timestamp('2023-02-06 13:00:00'): nan,\n", + " Timestamp('2023-02-06 14:00:00'): nan,\n", + " Timestamp('2023-02-06 15:00:00'): nan,\n", + " Timestamp('2023-02-06 16:00:00'): nan,\n", + " Timestamp('2023-02-06 17:00:00'): nan,\n", + " Timestamp('2023-02-06 18:00:00'): nan,\n", + " Timestamp('2023-02-06 19:00:00'): nan,\n", + " Timestamp('2023-02-06 20:00:00'): nan,\n", + " Timestamp('2023-02-06 21:00:00'): nan,\n", + " Timestamp('2023-02-06 22:00:00'): nan,\n", + " Timestamp('2023-02-06 23:00:00'): nan,\n", + " Timestamp('2023-02-07 00:00:00'): nan,\n", + " Timestamp('2023-02-07 01:00:00'): nan,\n", + " Timestamp('2023-02-07 02:00:00'): nan,\n", + " Timestamp('2023-02-07 03:00:00'): nan,\n", + " Timestamp('2023-02-07 04:00:00'): nan,\n", + " Timestamp('2023-02-07 05:00:00'): nan,\n", + " Timestamp('2023-02-07 06:00:00'): nan,\n", + " Timestamp('2023-02-07 07:00:00'): nan,\n", + " Timestamp('2023-02-07 08:00:00'): nan,\n", + " Timestamp('2023-02-07 09:00:00'): nan,\n", + " Timestamp('2023-02-07 10:00:00'): nan,\n", + " Timestamp('2023-02-07 11:00:00'): nan,\n", + " Timestamp('2023-02-07 12:00:00'): nan,\n", + " Timestamp('2023-02-07 13:00:00'): nan,\n", + " Timestamp('2023-02-07 14:00:00'): nan,\n", + " Timestamp('2023-02-07 15:00:00'): nan,\n", + " Timestamp('2023-02-07 16:00:00'): nan,\n", + " Timestamp('2023-02-07 17:00:00'): nan,\n", + " Timestamp('2023-02-07 18:00:00'): nan,\n", + " Timestamp('2023-02-07 19:00:00'): nan,\n", + " Timestamp('2023-02-07 20:00:00'): nan,\n", + " Timestamp('2023-02-07 21:00:00'): nan,\n", + " Timestamp('2023-02-07 22:00:00'): nan,\n", + " Timestamp('2023-02-07 23:00:00'): nan,\n", + " Timestamp('2023-02-08 00:00:00'): nan,\n", + " Timestamp('2023-02-08 01:00:00'): nan,\n", + " Timestamp('2023-02-08 02:00:00'): nan,\n", + " Timestamp('2023-02-08 03:00:00'): nan,\n", + " Timestamp('2023-02-08 04:00:00'): nan,\n", + " Timestamp('2023-02-08 05:00:00'): nan,\n", + " Timestamp('2023-02-08 06:00:00'): nan,\n", + " Timestamp('2023-02-08 07:00:00'): nan,\n", + " Timestamp('2023-02-08 08:00:00'): nan,\n", + " Timestamp('2023-02-08 09:00:00'): nan,\n", + " Timestamp('2023-02-08 10:00:00'): nan,\n", + " Timestamp('2023-02-08 11:00:00'): nan,\n", + " Timestamp('2023-02-08 12:00:00'): nan,\n", + " Timestamp('2023-02-08 13:00:00'): nan,\n", + " Timestamp('2023-02-08 14:00:00'): nan,\n", + " Timestamp('2023-02-08 15:00:00'): nan,\n", + " Timestamp('2023-02-08 16:00:00'): nan,\n", + " Timestamp('2023-02-08 17:00:00'): nan,\n", + " Timestamp('2023-02-08 18:00:00'): nan,\n", + " Timestamp('2023-02-08 19:00:00'): nan,\n", + " Timestamp('2023-02-08 20:00:00'): nan,\n", + " Timestamp('2023-02-08 21:00:00'): nan,\n", + " Timestamp('2023-02-08 22:00:00'): nan,\n", + " Timestamp('2023-02-08 23:00:00'): nan,\n", + " Timestamp('2023-02-09 00:00:00'): nan,\n", + " Timestamp('2023-02-09 01:00:00'): nan,\n", + " Timestamp('2023-02-09 02:00:00'): nan,\n", + " Timestamp('2023-02-09 03:00:00'): nan,\n", + " Timestamp('2023-02-09 04:00:00'): nan,\n", + " Timestamp('2023-02-09 05:00:00'): nan,\n", + " Timestamp('2023-02-09 06:00:00'): nan,\n", + " Timestamp('2023-02-09 07:00:00'): nan,\n", + " Timestamp('2023-02-09 08:00:00'): nan,\n", + " Timestamp('2023-02-09 09:00:00'): nan,\n", + " Timestamp('2023-02-09 10:00:00'): nan,\n", + " Timestamp('2023-02-09 11:00:00'): nan,\n", + " Timestamp('2023-02-09 12:00:00'): nan,\n", + " Timestamp('2023-02-09 13:00:00'): nan,\n", + " Timestamp('2023-02-09 14:00:00'): nan,\n", + " Timestamp('2023-02-09 15:00:00'): nan,\n", + " Timestamp('2023-02-09 16:00:00'): nan,\n", + " Timestamp('2023-02-09 17:00:00'): nan,\n", + " Timestamp('2023-02-09 18:00:00'): nan,\n", + " Timestamp('2023-02-09 19:00:00'): nan,\n", + " Timestamp('2023-02-09 20:00:00'): nan,\n", + " Timestamp('2023-02-09 21:00:00'): nan,\n", + " Timestamp('2023-02-09 22:00:00'): nan,\n", + " Timestamp('2023-02-09 23:00:00'): nan,\n", + " Timestamp('2023-02-10 00:00:00'): nan,\n", + " Timestamp('2023-02-10 01:00:00'): nan,\n", + " Timestamp('2023-02-10 03:00:00'): nan,\n", + " Timestamp('2023-02-10 04:00:00'): nan,\n", + " Timestamp('2023-02-10 05:00:00'): nan,\n", + " Timestamp('2023-02-10 06:00:00'): nan,\n", + " Timestamp('2023-02-10 07:00:00'): nan,\n", + " Timestamp('2023-02-10 08:00:00'): nan,\n", + " Timestamp('2023-02-10 09:00:00'): nan,\n", + " Timestamp('2023-02-10 10:00:00'): nan,\n", + " Timestamp('2023-02-10 11:00:00'): nan,\n", + " Timestamp('2023-02-10 12:00:00'): nan,\n", + " Timestamp('2023-02-10 13:00:00'): nan,\n", + " Timestamp('2023-02-10 14:00:00'): nan,\n", + " Timestamp('2023-02-10 15:00:00'): nan,\n", + " Timestamp('2023-02-10 16:00:00'): nan,\n", + " Timestamp('2023-02-10 17:00:00'): nan,\n", + " Timestamp('2023-02-10 18:00:00'): nan,\n", + " Timestamp('2023-02-10 19:00:00'): nan,\n", + " Timestamp('2023-02-10 20:00:00'): nan,\n", + " Timestamp('2023-02-10 21:00:00'): nan,\n", + " Timestamp('2023-02-10 22:00:00'): nan,\n", + " Timestamp('2023-02-10 23:00:00'): nan,\n", + " Timestamp('2023-02-11 00:00:00'): nan,\n", + " Timestamp('2023-02-11 01:00:00'): nan,\n", + " Timestamp('2023-02-11 02:00:00'): nan,\n", + " Timestamp('2023-02-11 03:00:00'): nan,\n", + " Timestamp('2023-02-11 04:00:00'): nan,\n", + " Timestamp('2023-02-11 05:00:00'): nan,\n", + " Timestamp('2023-02-11 06:00:00'): nan,\n", + " Timestamp('2023-02-11 07:00:00'): nan,\n", + " Timestamp('2023-02-11 08:00:00'): nan,\n", + " Timestamp('2023-02-11 09:00:00'): nan,\n", + " Timestamp('2023-02-11 10:00:00'): nan,\n", + " Timestamp('2023-02-11 11:00:00'): nan,\n", + " Timestamp('2023-02-11 12:00:00'): nan,\n", + " Timestamp('2023-02-11 13:00:00'): nan,\n", + " Timestamp('2023-02-11 14:00:00'): nan,\n", + " Timestamp('2023-02-11 15:00:00'): nan,\n", + " Timestamp('2023-02-11 16:00:00'): nan,\n", + " Timestamp('2023-02-11 17:00:00'): nan,\n", + " Timestamp('2023-02-11 18:00:00'): nan,\n", + " Timestamp('2023-02-11 19:00:00'): nan,\n", + " ...},\n", + " 'PRES': {Timestamp('2023-01-01 00:00:00'): 1011.3,\n", + " Timestamp('2023-01-01 01:00:00'): 1011.5,\n", + " Timestamp('2023-01-01 02:00:00'): 1011.8,\n", + " Timestamp('2023-01-01 03:00:00'): 1010.6,\n", + " Timestamp('2023-01-01 04:00:00'): 1011.1,\n", + " Timestamp('2023-01-01 05:00:00'): 1011.0,\n", + " Timestamp('2023-01-01 06:00:00'): 1011.6,\n", + " Timestamp('2023-01-01 07:00:00'): 1012.3,\n", + " Timestamp('2023-01-01 08:00:00'): 1012.5,\n", + " Timestamp('2023-01-01 09:00:00'): 1013.4,\n", + " Timestamp('2023-01-01 10:00:00'): 1013.9,\n", + " Timestamp('2023-01-01 11:00:00'): 1014.4,\n", + " Timestamp('2023-01-01 12:00:00'): 1015.2,\n", + " Timestamp('2023-01-01 13:00:00'): 1016.2,\n", + " Timestamp('2023-01-01 14:00:00'): 1017.0,\n", + " Timestamp('2023-01-01 15:00:00'): 1017.7,\n", + " Timestamp('2023-01-01 16:00:00'): 1017.8,\n", + " Timestamp('2023-01-01 17:00:00'): 1017.3,\n", + " Timestamp('2023-01-01 18:00:00'): 1016.9,\n", + " Timestamp('2023-01-01 19:00:00'): 1016.2,\n", + " Timestamp('2023-01-01 20:00:00'): 1016.0,\n", + " Timestamp('2023-01-01 21:00:00'): 1016.1,\n", + " Timestamp('2023-01-01 22:00:00'): 1016.7,\n", + " Timestamp('2023-01-01 23:00:00'): 1017.5,\n", + " Timestamp('2023-01-02 00:00:00'): 1018.0,\n", + " Timestamp('2023-01-02 01:00:00'): 1018.6,\n", + " Timestamp('2023-01-02 02:00:00'): 1018.8,\n", + " Timestamp('2023-01-02 03:00:00'): 1018.8,\n", + " Timestamp('2023-01-02 04:00:00'): 1018.8,\n", + " Timestamp('2023-01-02 05:00:00'): 1019.1,\n", + " Timestamp('2023-01-02 06:00:00'): 1018.8,\n", + " Timestamp('2023-01-02 07:00:00'): 1019.2,\n", + " Timestamp('2023-01-02 08:00:00'): 1019.9,\n", + " Timestamp('2023-01-02 09:00:00'): 1019.9,\n", + " Timestamp('2023-01-02 10:00:00'): 1020.3,\n", + " Timestamp('2023-01-02 11:00:00'): 1020.6,\n", + " Timestamp('2023-01-02 12:00:00'): 1021.2,\n", + " Timestamp('2023-01-02 13:00:00'): 1021.8,\n", + " Timestamp('2023-01-02 14:00:00'): 1022.0,\n", + " Timestamp('2023-01-02 15:00:00'): 1022.2,\n", + " Timestamp('2023-01-02 16:00:00'): 1022.1,\n", + " Timestamp('2023-01-02 17:00:00'): 1021.3,\n", + " Timestamp('2023-01-02 18:00:00'): 1021.0,\n", + " Timestamp('2023-01-02 19:00:00'): 1020.8,\n", + " Timestamp('2023-01-02 20:00:00'): 1020.1,\n", + " Timestamp('2023-01-02 21:00:00'): 1019.9,\n", + " Timestamp('2023-01-02 22:00:00'): 1020.0,\n", + " Timestamp('2023-01-02 23:00:00'): 1020.4,\n", + " Timestamp('2023-01-03 00:00:00'): 1020.5,\n", + " Timestamp('2023-01-03 01:00:00'): 1020.5,\n", + " Timestamp('2023-01-03 02:00:00'): 1020.6,\n", + " Timestamp('2023-01-03 03:00:00'): 1020.4,\n", + " Timestamp('2023-01-03 04:00:00'): 1020.3,\n", + " Timestamp('2023-01-03 05:00:00'): 1019.6,\n", + " Timestamp('2023-01-03 06:00:00'): 1019.2,\n", + " Timestamp('2023-01-03 07:00:00'): 1019.5,\n", + " Timestamp('2023-01-03 08:00:00'): 1019.3,\n", + " Timestamp('2023-01-03 09:00:00'): 1018.5,\n", + " Timestamp('2023-01-03 10:00:00'): 1017.9,\n", + " Timestamp('2023-01-03 11:00:00'): 1017.4,\n", + " Timestamp('2023-01-03 12:00:00'): 1017.2,\n", + " Timestamp('2023-01-03 13:00:00'): 1017.1,\n", + " Timestamp('2023-01-03 14:00:00'): 1016.9,\n", + " Timestamp('2023-01-03 15:00:00'): 1016.4,\n", + " Timestamp('2023-01-03 16:00:00'): 1016.0,\n", + " Timestamp('2023-01-03 17:00:00'): 1015.8,\n", + " Timestamp('2023-01-03 18:00:00'): 1014.2,\n", + " Timestamp('2023-01-03 19:00:00'): 1012.9,\n", + " Timestamp('2023-01-03 20:00:00'): 1012.1,\n", + " Timestamp('2023-01-03 21:00:00'): 1011.3,\n", + " Timestamp('2023-01-03 22:00:00'): 1011.3,\n", + " Timestamp('2023-01-03 23:00:00'): 1011.2,\n", + " Timestamp('2023-01-04 00:00:00'): 1011.9,\n", + " Timestamp('2023-01-04 01:00:00'): 1011.4,\n", + " Timestamp('2023-01-04 02:00:00'): 1011.6,\n", + " Timestamp('2023-01-04 03:00:00'): 1010.4,\n", + " Timestamp('2023-01-04 04:00:00'): 1009.9,\n", + " Timestamp('2023-01-04 05:00:00'): 1010.6,\n", + " Timestamp('2023-01-04 06:00:00'): 1010.8,\n", + " Timestamp('2023-01-04 07:00:00'): 1011.5,\n", + " Timestamp('2023-01-04 08:00:00'): 1012.4,\n", + " Timestamp('2023-01-04 09:00:00'): 1012.1,\n", + " Timestamp('2023-01-04 10:00:00'): 1012.6,\n", + " Timestamp('2023-01-04 11:00:00'): 1012.6,\n", + " Timestamp('2023-01-04 12:00:00'): 1012.8,\n", + " Timestamp('2023-01-04 13:00:00'): 1013.0,\n", + " Timestamp('2023-01-04 14:00:00'): 1013.3,\n", + " Timestamp('2023-01-04 15:00:00'): 1013.7,\n", + " Timestamp('2023-01-04 16:00:00'): 1013.4,\n", + " Timestamp('2023-01-04 17:00:00'): 1012.0,\n", + " Timestamp('2023-01-04 18:00:00'): 1011.3,\n", + " 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Timestamp('2023-01-05 17:00:00'): 1015.2,\n", + " Timestamp('2023-01-05 18:00:00'): 1014.7,\n", + " Timestamp('2023-01-05 19:00:00'): 1013.9,\n", + " Timestamp('2023-01-05 20:00:00'): 1013.3,\n", + " Timestamp('2023-01-05 21:00:00'): 1013.3,\n", + " Timestamp('2023-01-05 22:00:00'): 1013.4,\n", + " Timestamp('2023-01-05 23:00:00'): 1013.3,\n", + " Timestamp('2023-01-06 00:00:00'): 1013.7,\n", + " Timestamp('2023-01-06 01:00:00'): 1013.5,\n", + " Timestamp('2023-01-06 02:00:00'): 1014.0,\n", + " Timestamp('2023-01-06 03:00:00'): 1014.1,\n", + " Timestamp('2023-01-06 04:00:00'): 1014.9,\n", + " Timestamp('2023-01-06 05:00:00'): 1015.0,\n", + " Timestamp('2023-01-06 06:00:00'): 1014.9,\n", + " Timestamp('2023-01-06 07:00:00'): 1014.9,\n", + " Timestamp('2023-01-06 08:00:00'): 1015.5,\n", + " Timestamp('2023-01-06 09:00:00'): 1015.4,\n", + " Timestamp('2023-01-06 10:00:00'): 1015.1,\n", + " Timestamp('2023-01-06 11:00:00'): 1015.6,\n", + " Timestamp('2023-01-06 12:00:00'): 1016.2,\n", + " Timestamp('2023-01-06 13:00:00'): 1017.4,\n", + " Timestamp('2023-01-06 14:00:00'): 1017.9,\n", + " Timestamp('2023-01-06 15:00:00'): 1018.1,\n", + " Timestamp('2023-01-06 16:00:00'): 1018.3,\n", + " Timestamp('2023-01-06 17:00:00'): 1018.1,\n", + " Timestamp('2023-01-06 18:00:00'): 1018.1,\n", + " Timestamp('2023-01-06 19:00:00'): 1018.2,\n", + " Timestamp('2023-01-06 20:00:00'): 1018.8,\n", + " Timestamp('2023-01-06 21:00:00'): 1019.8,\n", + " Timestamp('2023-01-06 22:00:00'): 1020.6,\n", + " Timestamp('2023-01-06 23:00:00'): 1021.5,\n", + " Timestamp('2023-01-07 00:00:00'): 1022.4,\n", + " Timestamp('2023-01-07 01:00:00'): 1023.2,\n", + " Timestamp('2023-01-07 02:00:00'): 1023.6,\n", + " Timestamp('2023-01-07 03:00:00'): 1023.5,\n", + " Timestamp('2023-01-07 04:00:00'): 1024.2,\n", + " Timestamp('2023-01-07 05:00:00'): 1024.2,\n", + " Timestamp('2023-01-07 06:00:00'): 1023.9,\n", + " Timestamp('2023-01-07 07:00:00'): 1023.9,\n", + " Timestamp('2023-01-07 08:00:00'): 1024.1,\n", + " 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Timestamp('2023-01-08 05:00:00'): 1028.3,\n", + " Timestamp('2023-01-08 06:00:00'): 1028.1,\n", + " Timestamp('2023-01-08 07:00:00'): 1028.2,\n", + " Timestamp('2023-01-08 08:00:00'): 1028.7,\n", + " Timestamp('2023-01-08 09:00:00'): 1028.6,\n", + " Timestamp('2023-01-08 10:00:00'): 1028.4,\n", + " Timestamp('2023-01-08 11:00:00'): 1028.3,\n", + " Timestamp('2023-01-08 12:00:00'): 1028.6,\n", + " Timestamp('2023-01-08 13:00:00'): 1029.1,\n", + " Timestamp('2023-01-08 14:00:00'): 1029.3,\n", + " Timestamp('2023-01-08 15:00:00'): 1029.3,\n", + " Timestamp('2023-01-08 16:00:00'): 1029.5,\n", + " Timestamp('2023-01-08 17:00:00'): 1028.0,\n", + " Timestamp('2023-01-08 18:00:00'): 1026.9,\n", + " Timestamp('2023-01-08 19:00:00'): 1026.3,\n", + " Timestamp('2023-01-08 20:00:00'): 1025.7,\n", + " Timestamp('2023-01-08 21:00:00'): 1024.9,\n", + " Timestamp('2023-01-08 22:00:00'): 1024.4,\n", + " Timestamp('2023-01-08 23:00:00'): 1023.5,\n", + " Timestamp('2023-01-09 00:00:00'): 1024.1,\n", + " Timestamp('2023-01-09 01:00:00'): 1023.0,\n", + " Timestamp('2023-01-09 02:00:00'): 1022.2,\n", + " Timestamp('2023-01-09 03:00:00'): 1022.1,\n", + " Timestamp('2023-01-09 04:00:00'): 1020.7,\n", + " Timestamp('2023-01-09 05:00:00'): 1019.6,\n", + " Timestamp('2023-01-09 06:00:00'): 1018.2,\n", + " Timestamp('2023-01-09 07:00:00'): 1017.4,\n", + " Timestamp('2023-01-09 08:00:00'): 1017.1,\n", + " Timestamp('2023-01-09 09:00:00'): 1016.5,\n", + " Timestamp('2023-01-09 10:00:00'): 1016.3,\n", + " Timestamp('2023-01-09 11:00:00'): 1016.3,\n", + " Timestamp('2023-01-09 12:00:00'): 1016.8,\n", + " Timestamp('2023-01-09 13:00:00'): 1017.1,\n", + " Timestamp('2023-01-09 14:00:00'): 1017.6,\n", + " Timestamp('2023-01-09 15:00:00'): 1017.9,\n", + " Timestamp('2023-01-09 16:00:00'): 1017.7,\n", + " Timestamp('2023-01-09 17:00:00'): 1017.1,\n", + " Timestamp('2023-01-09 18:00:00'): 1016.4,\n", + " Timestamp('2023-01-09 19:00:00'): 1015.9,\n", + " Timestamp('2023-01-09 20:00:00'): 1016.3,\n", + " Timestamp('2023-01-09 21:00:00'): 1016.7,\n", + " Timestamp('2023-01-09 22:00:00'): 1017.2,\n", + " Timestamp('2023-01-09 23:00:00'): 1017.7,\n", + " Timestamp('2023-01-10 00:00:00'): 1017.9,\n", + " Timestamp('2023-01-10 01:00:00'): 1017.9,\n", + " Timestamp('2023-01-10 02:00:00'): 1018.0,\n", + " Timestamp('2023-01-10 03:00:00'): 1018.2,\n", + " Timestamp('2023-01-10 04:00:00'): 1018.3,\n", + " Timestamp('2023-01-10 05:00:00'): 1018.5,\n", + " Timestamp('2023-01-10 06:00:00'): 1018.7,\n", + " Timestamp('2023-01-10 07:00:00'): 1018.8,\n", + " Timestamp('2023-01-10 08:00:00'): 1019.5,\n", + " Timestamp('2023-01-10 09:00:00'): 1019.9,\n", + " Timestamp('2023-01-10 10:00:00'): 1019.9,\n", + " Timestamp('2023-01-10 11:00:00'): 1020.2,\n", + " Timestamp('2023-01-10 12:00:00'): 1020.4,\n", + " Timestamp('2023-01-10 13:00:00'): 1020.6,\n", + " Timestamp('2023-01-10 14:00:00'): 1020.4,\n", + " Timestamp('2023-01-10 15:00:00'): 1020.6,\n", + " Timestamp('2023-01-10 16:00:00'): 1020.6,\n", + " Timestamp('2023-01-10 17:00:00'): 1020.0,\n", + " Timestamp('2023-01-10 18:00:00'): 1019.1,\n", + " Timestamp('2023-01-10 19:00:00'): 1018.2,\n", + " Timestamp('2023-01-10 20:00:00'): 1018.2,\n", + " Timestamp('2023-01-10 21:00:00'): 1018.3,\n", + " Timestamp('2023-01-10 22:00:00'): 1018.9,\n", + " Timestamp('2023-01-10 23:00:00'): 1019.3,\n", + " Timestamp('2023-01-11 00:00:00'): 1019.6,\n", + " Timestamp('2023-01-11 01:00:00'): 1019.9,\n", + " Timestamp('2023-01-11 02:00:00'): 1019.8,\n", + " Timestamp('2023-01-11 03:00:00'): 1020.1,\n", + " Timestamp('2023-01-11 04:00:00'): 1020.6,\n", + " Timestamp('2023-01-11 05:00:00'): 1021.0,\n", + " Timestamp('2023-01-11 06:00:00'): 1020.9,\n", + " Timestamp('2023-01-11 07:00:00'): 1021.1,\n", + " Timestamp('2023-01-11 08:00:00'): 1022.2,\n", + " Timestamp('2023-01-11 09:00:00'): 1021.3,\n", + " Timestamp('2023-01-11 10:00:00'): 1021.8,\n", + " Timestamp('2023-01-11 11:00:00'): 1022.5,\n", + " Timestamp('2023-01-11 12:00:00'): 1023.0,\n", + " Timestamp('2023-01-11 13:00:00'): 1023.4,\n", + " Timestamp('2023-01-11 14:00:00'): 1023.6,\n", + " Timestamp('2023-01-11 15:00:00'): 1024.3,\n", + " Timestamp('2023-01-11 16:00:00'): 1024.7,\n", + " Timestamp('2023-01-11 17:00:00'): 1024.1,\n", + " Timestamp('2023-01-11 18:00:00'): 1023.0,\n", + " Timestamp('2023-01-11 19:00:00'): 1022.7,\n", + " Timestamp('2023-01-11 20:00:00'): 1023.1,\n", + " Timestamp('2023-01-11 21:00:00'): 1023.3,\n", + " Timestamp('2023-01-11 22:00:00'): 1023.2,\n", + " Timestamp('2023-01-11 23:00:00'): 1023.1,\n", + " Timestamp('2023-01-12 00:00:00'): 1023.3,\n", + " Timestamp('2023-01-12 01:00:00'): 1023.2,\n", + " Timestamp('2023-01-12 02:00:00'): 1023.6,\n", + " Timestamp('2023-01-12 03:00:00'): 1023.8,\n", + " Timestamp('2023-01-12 04:00:00'): 1023.4,\n", + " Timestamp('2023-01-12 05:00:00'): 1022.6,\n", + " Timestamp('2023-01-12 06:00:00'): 1022.1,\n", + " Timestamp('2023-01-12 07:00:00'): 1021.6,\n", + " Timestamp('2023-01-12 08:00:00'): 1021.2,\n", + " Timestamp('2023-01-12 09:00:00'): 1020.5,\n", + " Timestamp('2023-01-12 10:00:00'): 1020.4,\n", + " Timestamp('2023-01-12 11:00:00'): 1020.2,\n", + " Timestamp('2023-01-12 12:00:00'): 1020.0,\n", + " Timestamp('2023-01-12 13:00:00'): 1019.7,\n", + " Timestamp('2023-01-12 14:00:00'): 1019.7,\n", + " Timestamp('2023-01-12 15:00:00'): 1019.4,\n", + " Timestamp('2023-01-12 16:00:00'): 1018.5,\n", + " Timestamp('2023-01-12 17:00:00'): 1016.6,\n", + " Timestamp('2023-01-12 18:00:00'): 1015.0,\n", + " Timestamp('2023-01-12 19:00:00'): 1014.0,\n", + " Timestamp('2023-01-12 20:00:00'): 1013.6,\n", + " Timestamp('2023-01-12 21:00:00'): 1012.0,\n", + " Timestamp('2023-01-12 22:00:00'): 1010.8,\n", + " Timestamp('2023-01-12 23:00:00'): 1010.0,\n", + " Timestamp('2023-01-13 00:00:00'): 1009.1,\n", + " Timestamp('2023-01-13 01:00:00'): 1007.8,\n", + " Timestamp('2023-01-13 02:00:00'): 1006.1,\n", + " Timestamp('2023-01-13 03:00:00'): 1006.0,\n", + " Timestamp('2023-01-13 04:00:00'): 1005.7,\n", + " Timestamp('2023-01-13 05:00:00'): 1004.9,\n", + " Timestamp('2023-01-13 06:00:00'): 1003.6,\n", + " Timestamp('2023-01-13 07:00:00'): 1003.5,\n", + " Timestamp('2023-01-13 08:00:00'): 1002.6,\n", + " Timestamp('2023-01-13 09:00:00'): 1002.3,\n", + " Timestamp('2023-01-13 10:00:00'): 1001.9,\n", + " Timestamp('2023-01-13 11:00:00'): 1002.3,\n", + " Timestamp('2023-01-13 12:00:00'): 1003.2,\n", + " Timestamp('2023-01-13 13:00:00'): 1004.0,\n", + " Timestamp('2023-01-13 14:00:00'): 1005.0,\n", + " Timestamp('2023-01-13 15:00:00'): 1006.2,\n", + " Timestamp('2023-01-13 16:00:00'): 1006.4,\n", + " Timestamp('2023-01-13 17:00:00'): 1005.0,\n", + " Timestamp('2023-01-13 18:00:00'): 1005.2,\n", + " Timestamp('2023-01-13 19:00:00'): 1005.5,\n", + " Timestamp('2023-01-13 20:00:00'): 1005.8,\n", + " Timestamp('2023-01-13 21:00:00'): 1006.4,\n", + " Timestamp('2023-01-13 22:00:00'): 1007.6,\n", + " Timestamp('2023-01-13 23:00:00'): 1008.6,\n", + " Timestamp('2023-01-14 00:00:00'): 1009.2,\n", + " Timestamp('2023-01-14 01:00:00'): 1009.1,\n", + " Timestamp('2023-01-14 02:00:00'): 1009.3,\n", + " Timestamp('2023-01-14 03:00:00'): 1009.0,\n", + " Timestamp('2023-01-14 04:00:00'): 1008.6,\n", + " Timestamp('2023-01-14 05:00:00'): 1009.2,\n", + " Timestamp('2023-01-14 06:00:00'): 1009.0,\n", + " Timestamp('2023-01-14 07:00:00'): 1009.8,\n", + " Timestamp('2023-01-14 08:00:00'): 1009.6,\n", + " Timestamp('2023-01-14 09:00:00'): 1010.2,\n", + " Timestamp('2023-01-14 10:00:00'): 1010.6,\n", + " Timestamp('2023-01-14 11:00:00'): 1011.3,\n", + " Timestamp('2023-01-14 12:00:00'): 1011.4,\n", + " Timestamp('2023-01-14 13:00:00'): 1011.9,\n", + " Timestamp('2023-01-14 14:00:00'): 1013.1,\n", + " Timestamp('2023-01-14 15:00:00'): 1013.8,\n", + " Timestamp('2023-01-14 16:00:00'): 1013.0,\n", + " Timestamp('2023-01-14 17:00:00'): 1013.1,\n", + " Timestamp('2023-01-14 18:00:00'): 1013.1,\n", + " Timestamp('2023-01-14 19:00:00'): 1012.6,\n", + " Timestamp('2023-01-14 20:00:00'): 1013.3,\n", + " Timestamp('2023-01-14 21:00:00'): 1013.3,\n", + " Timestamp('2023-01-14 22:00:00'): 1013.7,\n", + " Timestamp('2023-01-14 23:00:00'): 1014.5,\n", + " Timestamp('2023-01-15 00:00:00'): 1014.4,\n", + " Timestamp('2023-01-15 01:00:00'): 1014.3,\n", + " Timestamp('2023-01-15 02:00:00'): 1015.0,\n", + " Timestamp('2023-01-15 03:00:00'): 1016.6,\n", + " Timestamp('2023-01-15 04:00:00'): 1016.4,\n", + " Timestamp('2023-01-15 05:00:00'): 1016.6,\n", + " Timestamp('2023-01-15 06:00:00'): 1016.5,\n", + " Timestamp('2023-01-15 07:00:00'): 1017.1,\n", + " Timestamp('2023-01-15 08:00:00'): 1017.2,\n", + " Timestamp('2023-01-15 09:00:00'): 1017.1,\n", + " Timestamp('2023-01-15 10:00:00'): 1017.6,\n", + " Timestamp('2023-01-15 11:00:00'): 1018.5,\n", + " Timestamp('2023-01-15 12:00:00'): 1018.7,\n", + " Timestamp('2023-01-15 13:00:00'): 1019.5,\n", + " Timestamp('2023-01-15 14:00:00'): 1020.4,\n", + " Timestamp('2023-01-15 15:00:00'): 1020.6,\n", + " Timestamp('2023-01-15 16:00:00'): 1020.4,\n", + " 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Timestamp('2023-01-16 13:00:00'): 1018.7,\n", + " Timestamp('2023-01-16 14:00:00'): 1018.5,\n", + " Timestamp('2023-01-16 15:00:00'): 1017.9,\n", + " Timestamp('2023-01-16 16:00:00'): 1017.5,\n", + " Timestamp('2023-01-16 17:00:00'): 1016.3,\n", + " Timestamp('2023-01-16 18:00:00'): 1015.0,\n", + " Timestamp('2023-01-16 19:00:00'): 1013.6,\n", + " Timestamp('2023-01-16 20:00:00'): 1013.4,\n", + " Timestamp('2023-01-16 21:00:00'): 1013.7,\n", + " Timestamp('2023-01-16 22:00:00'): 1013.6,\n", + " Timestamp('2023-01-16 23:00:00'): 1013.2,\n", + " Timestamp('2023-01-17 00:00:00'): 1013.8,\n", + " Timestamp('2023-01-17 01:00:00'): 1013.6,\n", + " Timestamp('2023-01-17 02:00:00'): 1013.8,\n", + " Timestamp('2023-01-17 03:00:00'): 1013.4,\n", + " Timestamp('2023-01-17 04:00:00'): 1012.9,\n", + " Timestamp('2023-01-17 05:00:00'): 1012.6,\n", + " Timestamp('2023-01-17 06:00:00'): 1011.7,\n", + " Timestamp('2023-01-17 07:00:00'): 1011.2,\n", + " Timestamp('2023-01-17 08:00:00'): 1010.9,\n", + " 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Timestamp('2023-01-19 01:00:00'): 1018.3,\n", + " Timestamp('2023-01-19 02:00:00'): 1018.7,\n", + " Timestamp('2023-01-19 03:00:00'): 1018.3,\n", + " Timestamp('2023-01-19 04:00:00'): 1019.0,\n", + " Timestamp('2023-01-19 05:00:00'): 1018.5,\n", + " Timestamp('2023-01-19 06:00:00'): 1019.1,\n", + " Timestamp('2023-01-19 07:00:00'): 1018.6,\n", + " Timestamp('2023-01-19 08:00:00'): 1018.4,\n", + " Timestamp('2023-01-19 09:00:00'): 1018.2,\n", + " Timestamp('2023-01-19 10:00:00'): 1018.1,\n", + " Timestamp('2023-01-19 11:00:00'): 1018.2,\n", + " Timestamp('2023-01-19 12:00:00'): 1017.9,\n", + " Timestamp('2023-01-19 13:00:00'): 1017.2,\n", + " Timestamp('2023-01-19 14:00:00'): 1017.5,\n", + " Timestamp('2023-01-19 15:00:00'): 1015.9,\n", + " Timestamp('2023-01-19 16:00:00'): 1014.9,\n", + " Timestamp('2023-01-19 17:00:00'): 1012.6,\n", + " Timestamp('2023-01-19 18:00:00'): 1010.2,\n", + " Timestamp('2023-01-19 19:00:00'): 1009.1,\n", + " Timestamp('2023-01-19 20:00:00'): 1008.1,\n", + " Timestamp('2023-01-19 21:00:00'): 1007.5,\n", + " Timestamp('2023-01-19 22:00:00'): 1006.5,\n", + " Timestamp('2023-01-19 23:00:00'): 1005.6,\n", + " Timestamp('2023-01-20 00:00:00'): 1004.8,\n", + " Timestamp('2023-01-20 01:00:00'): 1004.1,\n", + " Timestamp('2023-01-20 02:00:00'): 1004.6,\n", + " Timestamp('2023-01-20 03:00:00'): 1004.4,\n", + " Timestamp('2023-01-20 04:00:00'): 1004.3,\n", + " Timestamp('2023-01-20 05:00:00'): 1004.3,\n", + " Timestamp('2023-01-20 06:00:00'): 1004.8,\n", + " Timestamp('2023-01-20 07:00:00'): 1005.3,\n", + " Timestamp('2023-01-20 08:00:00'): 1005.8,\n", + " Timestamp('2023-01-20 09:00:00'): 1006.0,\n", + " Timestamp('2023-01-20 10:00:00'): 1006.4,\n", + " Timestamp('2023-01-20 11:00:00'): 1007.0,\n", + " Timestamp('2023-01-20 12:00:00'): 1008.0,\n", + " Timestamp('2023-01-20 13:00:00'): 1009.2,\n", + " Timestamp('2023-01-20 14:00:00'): 1009.6,\n", + " Timestamp('2023-01-20 15:00:00'): 1010.0,\n", + " Timestamp('2023-01-20 16:00:00'): 1010.9,\n", + " Timestamp('2023-01-20 17:00:00'): 1010.5,\n", + " Timestamp('2023-01-20 18:00:00'): 1010.5,\n", + " Timestamp('2023-01-20 19:00:00'): 1011.0,\n", + " Timestamp('2023-01-20 20:00:00'): 1011.9,\n", + " Timestamp('2023-01-20 21:00:00'): 1013.3,\n", + " Timestamp('2023-01-20 22:00:00'): 1014.6,\n", + " Timestamp('2023-01-20 23:00:00'): 1016.1,\n", + " Timestamp('2023-01-21 00:00:00'): 1016.7,\n", + " Timestamp('2023-01-21 01:00:00'): 1017.4,\n", + " Timestamp('2023-01-21 02:00:00'): 1017.9,\n", + " Timestamp('2023-01-21 03:00:00'): 1018.0,\n", + " Timestamp('2023-01-21 04:00:00'): 1018.6,\n", + " Timestamp('2023-01-21 05:00:00'): 1018.9,\n", + " Timestamp('2023-01-21 06:00:00'): 1018.8,\n", + " Timestamp('2023-01-21 07:00:00'): 1019.2,\n", + " Timestamp('2023-01-21 08:00:00'): 1019.5,\n", + " Timestamp('2023-01-21 09:00:00'): 1019.7,\n", + " Timestamp('2023-01-21 10:00:00'): 1020.2,\n", + " Timestamp('2023-01-21 11:00:00'): 1020.9,\n", + " Timestamp('2023-01-21 12:00:00'): 1021.5,\n", + " Timestamp('2023-01-21 13:00:00'): 1022.2,\n", + " Timestamp('2023-01-21 14:00:00'): 1023.1,\n", + " Timestamp('2023-01-21 15:00:00'): 1023.8,\n", + " Timestamp('2023-01-21 16:00:00'): 1024.3,\n", + " Timestamp('2023-01-21 17:00:00'): 1023.9,\n", + " Timestamp('2023-01-21 18:00:00'): 1023.3,\n", + " Timestamp('2023-01-21 19:00:00'): 1023.2,\n", + " Timestamp('2023-01-21 20:00:00'): 1023.6,\n", + " Timestamp('2023-01-21 21:00:00'): 1024.1,\n", + " Timestamp('2023-01-21 22:00:00'): 1024.5,\n", + " Timestamp('2023-01-21 23:00:00'): 1025.1,\n", + " Timestamp('2023-01-22 00:00:00'): 1024.8,\n", + " Timestamp('2023-01-22 01:00:00'): 1025.2,\n", + " Timestamp('2023-01-22 02:00:00'): 1025.3,\n", + " Timestamp('2023-01-22 03:00:00'): 1025.5,\n", + " Timestamp('2023-01-22 04:00:00'): 1024.4,\n", + " Timestamp('2023-01-22 05:00:00'): 1024.5,\n", + " Timestamp('2023-01-22 06:00:00'): 1024.2,\n", + " Timestamp('2023-01-22 07:00:00'): 1024.1,\n", + " Timestamp('2023-01-22 08:00:00'): 1023.8,\n", + " Timestamp('2023-01-22 09:00:00'): 1023.2,\n", + " Timestamp('2023-01-22 10:00:00'): 1022.4,\n", + " Timestamp('2023-01-22 11:00:00'): 1022.4,\n", + " Timestamp('2023-01-22 12:00:00'): 1021.6,\n", + " Timestamp('2023-01-22 13:00:00'): 1021.6,\n", + " Timestamp('2023-01-22 14:00:00'): 1021.5,\n", + " Timestamp('2023-01-22 15:00:00'): 1020.9,\n", + " Timestamp('2023-01-22 16:00:00'): 1020.5,\n", + " Timestamp('2023-01-22 17:00:00'): 1019.0,\n", + " Timestamp('2023-01-22 18:00:00'): 1017.5,\n", + " Timestamp('2023-01-22 19:00:00'): 1016.6,\n", + " Timestamp('2023-01-22 20:00:00'): 1015.4,\n", + " Timestamp('2023-01-22 21:00:00'): 1014.7,\n", + " Timestamp('2023-01-22 22:00:00'): 1013.0,\n", + " Timestamp('2023-01-22 23:00:00'): 1012.9,\n", + " Timestamp('2023-01-23 00:00:00'): 1011.4,\n", + " Timestamp('2023-01-23 01:00:00'): 1009.5,\n", + " Timestamp('2023-01-23 02:00:00'): 1008.4,\n", + " Timestamp('2023-01-23 03:00:00'): 1007.7,\n", + " Timestamp('2023-01-23 04:00:00'): 1006.5,\n", + " Timestamp('2023-01-23 05:00:00'): 1006.2,\n", + " Timestamp('2023-01-23 06:00:00'): 1004.5,\n", + " Timestamp('2023-01-23 07:00:00'): 1003.5,\n", + " Timestamp('2023-01-23 08:00:00'): 1003.4,\n", + " Timestamp('2023-01-23 09:00:00'): 1003.5,\n", + " Timestamp('2023-01-23 10:00:00'): 1003.7,\n", + " Timestamp('2023-01-23 11:00:00'): 1004.8,\n", + " Timestamp('2023-01-23 12:00:00'): 1005.1,\n", + " Timestamp('2023-01-23 13:00:00'): 1005.9,\n", + " Timestamp('2023-01-23 14:00:00'): 1006.1,\n", + " Timestamp('2023-01-23 15:00:00'): 1006.8,\n", + " Timestamp('2023-01-23 16:00:00'): 1007.5,\n", + " Timestamp('2023-01-23 17:00:00'): 1007.5,\n", + " Timestamp('2023-01-23 18:00:00'): 1008.1,\n", + " Timestamp('2023-01-23 19:00:00'): 1008.7,\n", + " Timestamp('2023-01-23 20:00:00'): 1009.5,\n", + " Timestamp('2023-01-23 21:00:00'): 1011.4,\n", + " Timestamp('2023-01-23 22:00:00'): 1012.8,\n", + " Timestamp('2023-01-23 23:00:00'): 1014.9,\n", + " Timestamp('2023-01-24 00:00:00'): 1016.1,\n", + " Timestamp('2023-01-24 01:00:00'): 1017.3,\n", + " Timestamp('2023-01-24 02:00:00'): 1018.8,\n", + " Timestamp('2023-01-24 03:00:00'): 1019.6,\n", + " Timestamp('2023-01-24 04:00:00'): 1020.3,\n", + " Timestamp('2023-01-24 05:00:00'): 1020.5,\n", + " Timestamp('2023-01-24 06:00:00'): 1020.5,\n", + " Timestamp('2023-01-24 07:00:00'): 1021.1,\n", + " Timestamp('2023-01-24 08:00:00'): 1021.3,\n", + " Timestamp('2023-01-24 09:00:00'): 1022.2,\n", + " Timestamp('2023-01-24 10:00:00'): 1022.6,\n", + " Timestamp('2023-01-24 11:00:00'): 1023.0,\n", + " Timestamp('2023-01-24 12:00:00'): 1023.8,\n", + " Timestamp('2023-01-24 13:00:00'): 1024.4,\n", + " Timestamp('2023-01-24 14:00:00'): 1025.3,\n", + " Timestamp('2023-01-24 15:00:00'): 1025.5,\n", + " Timestamp('2023-01-24 16:00:00'): 1025.3,\n", + " Timestamp('2023-01-24 17:00:00'): 1024.7,\n", + " Timestamp('2023-01-24 18:00:00'): 1024.6,\n", + " Timestamp('2023-01-24 19:00:00'): 1024.1,\n", + " Timestamp('2023-01-24 20:00:00'): 1024.0,\n", + " Timestamp('2023-01-24 21:00:00'): 1024.1,\n", + " Timestamp('2023-01-24 22:00:00'): 1024.6,\n", + " Timestamp('2023-01-24 23:00:00'): 1025.2,\n", + " Timestamp('2023-01-25 00:00:00'): 1025.7,\n", + " Timestamp('2023-01-25 01:00:00'): 1026.2,\n", + " Timestamp('2023-01-25 02:00:00'): 1027.2,\n", + " Timestamp('2023-01-25 03:00:00'): 1027.0,\n", + " Timestamp('2023-01-25 04:00:00'): 1026.6,\n", + " Timestamp('2023-01-25 05:00:00'): 1026.1,\n", + " Timestamp('2023-01-25 06:00:00'): 1026.0,\n", + " Timestamp('2023-01-25 07:00:00'): 1026.2,\n", + " Timestamp('2023-01-25 08:00:00'): 1026.2,\n", + " Timestamp('2023-01-25 09:00:00'): 1026.3,\n", + " Timestamp('2023-01-25 10:00:00'): 1026.5,\n", + " Timestamp('2023-01-25 11:00:00'): 1024.1,\n", + " Timestamp('2023-01-25 12:00:00'): 1024.6,\n", + " Timestamp('2023-01-25 13:00:00'): 1023.2,\n", + " Timestamp('2023-01-25 14:00:00'): 1024.8,\n", + " Timestamp('2023-01-25 15:00:00'): 1023.1,\n", + " Timestamp('2023-01-25 16:00:00'): 1022.3,\n", + " Timestamp('2023-01-25 17:00:00'): 1019.4,\n", + " Timestamp('2023-01-25 18:00:00'): 1017.9,\n", + " Timestamp('2023-01-25 19:00:00'): 1016.0,\n", + " Timestamp('2023-01-25 20:00:00'): 1013.0,\n", + " Timestamp('2023-01-25 21:00:00'): 1010.5,\n", + " Timestamp('2023-01-25 22:00:00'): 1008.4,\n", + " Timestamp('2023-01-25 23:00:00'): 1006.4,\n", + " Timestamp('2023-01-26 00:00:00'): 1003.2,\n", + " Timestamp('2023-01-26 01:00:00'): 1004.5,\n", + " Timestamp('2023-01-26 02:00:00'): 1002.5,\n", + " Timestamp('2023-01-26 03:00:00'): 1002.4,\n", + " Timestamp('2023-01-26 04:00:00'): 1002.2,\n", + " Timestamp('2023-01-26 05:00:00'): 1000.6,\n", + " Timestamp('2023-01-26 06:00:00'): 1000.7,\n", + " Timestamp('2023-01-26 07:00:00'): 1001.8,\n", + " Timestamp('2023-01-26 08:00:00'): 1001.8,\n", + " Timestamp('2023-01-26 09:00:00'): 1002.8,\n", + " Timestamp('2023-01-26 10:00:00'): 1003.7,\n", + " Timestamp('2023-01-26 11:00:00'): 1005.1,\n", + " Timestamp('2023-01-26 12:00:00'): 1006.5,\n", + " Timestamp('2023-01-26 13:00:00'): 1007.4,\n", + " Timestamp('2023-01-26 14:00:00'): 1008.2,\n", + " Timestamp('2023-01-26 15:00:00'): 1009.1,\n", + " Timestamp('2023-01-26 16:00:00'): 1009.9,\n", + " Timestamp('2023-01-26 17:00:00'): 1009.7,\n", + " Timestamp('2023-01-26 18:00:00'): 1009.8,\n", + " Timestamp('2023-01-26 19:00:00'): 1010.3,\n", + " Timestamp('2023-01-26 20:00:00'): 1010.8,\n", + " Timestamp('2023-01-26 21:00:00'): 1011.6,\n", + " Timestamp('2023-01-26 22:00:00'): 1012.4,\n", + " Timestamp('2023-01-26 23:00:00'): 1013.4,\n", + " Timestamp('2023-01-27 00:00:00'): 1014.4,\n", + " Timestamp('2023-01-27 01:00:00'): 1015.1,\n", + " Timestamp('2023-01-27 02:00:00'): 1015.6,\n", + " Timestamp('2023-01-27 03:00:00'): 1016.2,\n", + " Timestamp('2023-01-27 04:00:00'): 1016.4,\n", + " Timestamp('2023-01-27 05:00:00'): 1017.2,\n", + " Timestamp('2023-01-27 06:00:00'): 1017.7,\n", + " Timestamp('2023-01-27 07:00:00'): 1018.4,\n", + " Timestamp('2023-01-27 08:00:00'): 1018.5,\n", + " Timestamp('2023-01-27 09:00:00'): 1018.6,\n", + " Timestamp('2023-01-27 10:00:00'): 1018.8,\n", + " Timestamp('2023-01-27 11:00:00'): 1019.8,\n", + " Timestamp('2023-01-27 12:00:00'): 1020.9,\n", + " Timestamp('2023-01-27 13:00:00'): 1022.0,\n", + " Timestamp('2023-01-27 14:00:00'): 1023.1,\n", + " Timestamp('2023-01-27 15:00:00'): 1023.2,\n", + " Timestamp('2023-01-27 16:00:00'): 1023.0,\n", + " Timestamp('2023-01-27 17:00:00'): 1022.4,\n", + " Timestamp('2023-01-27 18:00:00'): 1021.7,\n", + " Timestamp('2023-01-27 19:00:00'): 1021.4,\n", + " Timestamp('2023-01-27 20:00:00'): 1021.7,\n", + " Timestamp('2023-01-27 21:00:00'): 1022.1,\n", + " Timestamp('2023-01-27 22:00:00'): 1022.1,\n", + " Timestamp('2023-01-27 23:00:00'): 1022.8,\n", + " Timestamp('2023-01-28 00:00:00'): 1023.6,\n", + " Timestamp('2023-01-28 01:00:00'): 1024.2,\n", + " Timestamp('2023-01-28 02:00:00'): 1024.0,\n", + " Timestamp('2023-01-28 03:00:00'): 1023.6,\n", + " Timestamp('2023-01-28 04:00:00'): 1023.0,\n", + " 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Timestamp('2023-01-29 01:00:00'): 1027.5,\n", + " Timestamp('2023-01-29 02:00:00'): 1028.2,\n", + " Timestamp('2023-01-29 03:00:00'): 1028.2,\n", + " Timestamp('2023-01-29 04:00:00'): 1027.8,\n", + " Timestamp('2023-01-29 05:00:00'): 1027.3,\n", + " Timestamp('2023-01-29 06:00:00'): 1026.6,\n", + " Timestamp('2023-01-29 07:00:00'): 1026.3,\n", + " Timestamp('2023-01-29 08:00:00'): 1026.4,\n", + " Timestamp('2023-01-29 09:00:00'): 1026.0,\n", + " Timestamp('2023-01-29 10:00:00'): 1026.0,\n", + " Timestamp('2023-01-29 11:00:00'): 1025.7,\n", + " Timestamp('2023-01-29 12:00:00'): 1025.4,\n", + " Timestamp('2023-01-29 13:00:00'): 1025.3,\n", + " Timestamp('2023-01-29 14:00:00'): 1025.4,\n", + " Timestamp('2023-01-29 15:00:00'): 1025.2,\n", + " Timestamp('2023-01-29 16:00:00'): 1025.2,\n", + " Timestamp('2023-01-29 17:00:00'): 1024.0,\n", + " Timestamp('2023-01-29 18:00:00'): 1022.8,\n", + " Timestamp('2023-01-29 19:00:00'): 1022.1,\n", + " Timestamp('2023-01-29 20:00:00'): 1021.5,\n", + " 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Timestamp('2023-02-02 05:00:00'): 1027.3,\n", + " Timestamp('2023-02-02 06:00:00'): 1026.9,\n", + " Timestamp('2023-02-02 07:00:00'): 1027.2,\n", + " Timestamp('2023-02-02 09:00:00'): 1026.3,\n", + " Timestamp('2023-02-02 10:00:00'): 1026.1,\n", + " Timestamp('2023-02-02 11:00:00'): 1026.1,\n", + " Timestamp('2023-02-02 12:00:00'): 1025.4,\n", + " Timestamp('2023-02-02 13:00:00'): 1025.4,\n", + " Timestamp('2023-02-02 14:00:00'): 1026.0,\n", + " Timestamp('2023-02-02 15:00:00'): 1026.1,\n", + " Timestamp('2023-02-02 16:00:00'): 1025.3,\n", + " Timestamp('2023-02-02 17:00:00'): 1023.7,\n", + " Timestamp('2023-02-02 18:00:00'): 1022.2,\n", + " Timestamp('2023-02-02 19:00:00'): 1020.6,\n", + " Timestamp('2023-02-02 20:00:00'): 1019.4,\n", + " Timestamp('2023-02-02 21:00:00'): 1019.1,\n", + " Timestamp('2023-02-02 22:00:00'): 1018.2,\n", + " Timestamp('2023-02-02 23:00:00'): 1018.0,\n", + " Timestamp('2023-02-03 00:00:00'): 1017.1,\n", + " Timestamp('2023-02-03 01:00:00'): 1017.0,\n", + " 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Timestamp('2023-02-05 14:00:00'): 1026.1,\n", + " Timestamp('2023-02-05 15:00:00'): 1025.2,\n", + " Timestamp('2023-02-05 16:00:00'): 1024.7,\n", + " Timestamp('2023-02-05 17:00:00'): 1023.0,\n", + " Timestamp('2023-02-05 18:00:00'): 1021.4,\n", + " Timestamp('2023-02-05 19:00:00'): 1020.5,\n", + " Timestamp('2023-02-05 20:00:00'): 1019.2,\n", + " Timestamp('2023-02-05 21:00:00'): 1017.9,\n", + " Timestamp('2023-02-05 22:00:00'): 1017.7,\n", + " Timestamp('2023-02-05 23:00:00'): 1017.8,\n", + " Timestamp('2023-02-06 00:00:00'): 1017.2,\n", + " Timestamp('2023-02-06 01:00:00'): 1017.2,\n", + " Timestamp('2023-02-06 02:00:00'): 1017.7,\n", + " Timestamp('2023-02-06 03:00:00'): 1017.6,\n", + " Timestamp('2023-02-06 04:00:00'): 1017.3,\n", + " Timestamp('2023-02-06 05:00:00'): 1017.0,\n", + " Timestamp('2023-02-06 06:00:00'): 1016.1,\n", + " Timestamp('2023-02-06 07:00:00'): 1014.7,\n", + " Timestamp('2023-02-06 08:00:00'): 1014.2,\n", + " Timestamp('2023-02-06 09:00:00'): 1013.9,\n", + " Timestamp('2023-02-06 10:00:00'): 1014.2,\n", + " Timestamp('2023-02-06 11:00:00'): 1014.9,\n", + " Timestamp('2023-02-06 12:00:00'): 1015.8,\n", + " Timestamp('2023-02-06 13:00:00'): 1016.6,\n", + " Timestamp('2023-02-06 14:00:00'): 1017.4,\n", + " Timestamp('2023-02-06 15:00:00'): 1017.9,\n", + " Timestamp('2023-02-06 16:00:00'): 1018.3,\n", + " Timestamp('2023-02-06 17:00:00'): 1018.4,\n", + " Timestamp('2023-02-06 18:00:00'): 1018.5,\n", + " Timestamp('2023-02-06 19:00:00'): 1018.8,\n", + " Timestamp('2023-02-06 20:00:00'): 1019.6,\n", + " Timestamp('2023-02-06 21:00:00'): 1020.5,\n", + " Timestamp('2023-02-06 22:00:00'): 1021.3,\n", + " Timestamp('2023-02-06 23:00:00'): 1022.5,\n", + " Timestamp('2023-02-07 00:00:00'): 1023.9,\n", + " Timestamp('2023-02-07 01:00:00'): 1024.8,\n", + " Timestamp('2023-02-07 02:00:00'): 1025.3,\n", + " Timestamp('2023-02-07 03:00:00'): 1026.2,\n", + " Timestamp('2023-02-07 04:00:00'): 1026.4,\n", + " Timestamp('2023-02-07 05:00:00'): 1026.3,\n", + " Timestamp('2023-02-07 06:00:00'): 1026.5,\n", + " Timestamp('2023-02-07 07:00:00'): 1027.2,\n", + " Timestamp('2023-02-07 08:00:00'): 1027.7,\n", + " Timestamp('2023-02-07 09:00:00'): 1028.2,\n", + " Timestamp('2023-02-07 10:00:00'): 1028.6,\n", + " Timestamp('2023-02-07 11:00:00'): 1028.5,\n", + " Timestamp('2023-02-07 12:00:00'): 1028.9,\n", + " Timestamp('2023-02-07 13:00:00'): 1029.3,\n", + " Timestamp('2023-02-07 14:00:00'): 1029.8,\n", + " Timestamp('2023-02-07 15:00:00'): 1029.7,\n", + " Timestamp('2023-02-07 16:00:00'): 1029.6,\n", + " Timestamp('2023-02-07 17:00:00'): 1028.7,\n", + " Timestamp('2023-02-07 18:00:00'): 1026.9,\n", + " Timestamp('2023-02-07 19:00:00'): 1026.0,\n", + " Timestamp('2023-02-07 20:00:00'): 1024.5,\n", + " Timestamp('2023-02-07 21:00:00'): 1023.9,\n", + " Timestamp('2023-02-07 22:00:00'): 1023.8,\n", + " Timestamp('2023-02-07 23:00:00'): 1023.1,\n", + " Timestamp('2023-02-08 00:00:00'): 1022.6,\n", + " Timestamp('2023-02-08 01:00:00'): 1022.6,\n", + " Timestamp('2023-02-08 02:00:00'): 1021.9,\n", + " Timestamp('2023-02-08 03:00:00'): 1022.0,\n", + " Timestamp('2023-02-08 04:00:00'): 1021.0,\n", + " Timestamp('2023-02-08 05:00:00'): 1021.0,\n", + " Timestamp('2023-02-08 06:00:00'): 1020.9,\n", + " Timestamp('2023-02-08 07:00:00'): 1021.1,\n", + " Timestamp('2023-02-08 08:00:00'): 1020.8,\n", + " Timestamp('2023-02-08 09:00:00'): 1020.7,\n", + " Timestamp('2023-02-08 10:00:00'): 1021.3,\n", + " Timestamp('2023-02-08 11:00:00'): 1022.1,\n", + " Timestamp('2023-02-08 12:00:00'): 1023.1,\n", + " Timestamp('2023-02-08 13:00:00'): 1023.5,\n", + " Timestamp('2023-02-08 14:00:00'): 1024.3,\n", + " Timestamp('2023-02-08 15:00:00'): 1024.5,\n", + " Timestamp('2023-02-08 16:00:00'): 1025.1,\n", + " Timestamp('2023-02-08 17:00:00'): 1024.7,\n", + " Timestamp('2023-02-08 18:00:00'): 1024.1,\n", + " Timestamp('2023-02-08 19:00:00'): 1024.0,\n", + " Timestamp('2023-02-08 20:00:00'): 1024.0,\n", + " Timestamp('2023-02-08 21:00:00'): 1024.5,\n", + " Timestamp('2023-02-08 22:00:00'): 1025.0,\n", + " Timestamp('2023-02-08 23:00:00'): 1025.7,\n", + " Timestamp('2023-02-09 00:00:00'): 1026.0,\n", + " Timestamp('2023-02-09 01:00:00'): 1026.5,\n", + " Timestamp('2023-02-09 02:00:00'): 1026.7,\n", + " Timestamp('2023-02-09 03:00:00'): 1027.1,\n", + " Timestamp('2023-02-09 04:00:00'): 1027.3,\n", + " Timestamp('2023-02-09 05:00:00'): 1027.1,\n", + " Timestamp('2023-02-09 06:00:00'): 1026.8,\n", + " Timestamp('2023-02-09 07:00:00'): 1026.4,\n", + " Timestamp('2023-02-09 08:00:00'): 1026.2,\n", + " Timestamp('2023-02-09 09:00:00'): 1025.4,\n", + " Timestamp('2023-02-09 10:00:00'): 1025.3,\n", + " Timestamp('2023-02-09 11:00:00'): 1025.0,\n", + " Timestamp('2023-02-09 12:00:00'): 1024.8,\n", + " Timestamp('2023-02-09 13:00:00'): 1024.2,\n", + " Timestamp('2023-02-09 14:00:00'): 1023.6,\n", + " Timestamp('2023-02-09 15:00:00'): 1022.6,\n", + " Timestamp('2023-02-09 16:00:00'): 1021.6,\n", + " Timestamp('2023-02-09 17:00:00'): 1019.8,\n", + " Timestamp('2023-02-09 18:00:00'): 1018.7,\n", + " Timestamp('2023-02-09 19:00:00'): 1017.6,\n", + " Timestamp('2023-02-09 20:00:00'): 1015.9,\n", + " Timestamp('2023-02-09 21:00:00'): 1015.0,\n", + " Timestamp('2023-02-09 22:00:00'): 1014.0,\n", + " Timestamp('2023-02-09 23:00:00'): 1013.6,\n", + " Timestamp('2023-02-10 00:00:00'): 1012.9,\n", + " Timestamp('2023-02-10 01:00:00'): 1012.7,\n", + " Timestamp('2023-02-10 03:00:00'): 1011.7,\n", + " Timestamp('2023-02-10 04:00:00'): 1010.8,\n", + " Timestamp('2023-02-10 05:00:00'): 1010.7,\n", + " Timestamp('2023-02-10 06:00:00'): 1010.4,\n", + " Timestamp('2023-02-10 07:00:00'): 1010.7,\n", + " Timestamp('2023-02-10 08:00:00'): 1010.9,\n", + " Timestamp('2023-02-10 09:00:00'): 1011.0,\n", + " Timestamp('2023-02-10 10:00:00'): 1011.5,\n", + " Timestamp('2023-02-10 11:00:00'): 1012.4,\n", + " Timestamp('2023-02-10 12:00:00'): 1013.8,\n", + " Timestamp('2023-02-10 13:00:00'): 1015.4,\n", + " Timestamp('2023-02-10 14:00:00'): 1016.3,\n", + " Timestamp('2023-02-10 15:00:00'): 1016.9,\n", + " Timestamp('2023-02-10 16:00:00'): 1017.3,\n", + " Timestamp('2023-02-10 17:00:00'): 1017.1,\n", + " Timestamp('2023-02-10 18:00:00'): 1017.0,\n", + " Timestamp('2023-02-10 19:00:00'): 1017.0,\n", + " Timestamp('2023-02-10 20:00:00'): 1017.4,\n", + " Timestamp('2023-02-10 21:00:00'): 1018.0,\n", + " Timestamp('2023-02-10 22:00:00'): 1018.9,\n", + " Timestamp('2023-02-10 23:00:00'): 1019.8,\n", + " Timestamp('2023-02-11 00:00:00'): 1020.4,\n", + " Timestamp('2023-02-11 01:00:00'): 1021.8,\n", + " Timestamp('2023-02-11 02:00:00'): 1022.4,\n", + " Timestamp('2023-02-11 03:00:00'): 1022.0,\n", + " Timestamp('2023-02-11 04:00:00'): 1021.7,\n", + " Timestamp('2023-02-11 05:00:00'): 1022.1,\n", + " Timestamp('2023-02-11 06:00:00'): 1022.5,\n", + " Timestamp('2023-02-11 07:00:00'): 1022.6,\n", + " Timestamp('2023-02-11 08:00:00'): 1022.9,\n", + " Timestamp('2023-02-11 09:00:00'): 1023.0,\n", + " Timestamp('2023-02-11 10:00:00'): 1024.3,\n", + " Timestamp('2023-02-11 11:00:00'): 1025.3,\n", + " Timestamp('2023-02-11 12:00:00'): 1026.6,\n", + " Timestamp('2023-02-11 13:00:00'): 1027.7,\n", + " Timestamp('2023-02-11 14:00:00'): 1028.6,\n", + " Timestamp('2023-02-11 15:00:00'): 1028.7,\n", + " Timestamp('2023-02-11 16:00:00'): 1028.9,\n", + " Timestamp('2023-02-11 17:00:00'): 1028.6,\n", + " Timestamp('2023-02-11 18:00:00'): 1027.9,\n", + " Timestamp('2023-02-11 19:00:00'): 1028.1,\n", + " ...},\n", + " 'ATMP': {Timestamp('2023-01-01 00:00:00'): 10.5,\n", + " Timestamp('2023-01-01 01:00:00'): 10.1,\n", + " Timestamp('2023-01-01 02:00:00'): 8.5,\n", + " Timestamp('2023-01-01 03:00:00'): 7.4,\n", + " Timestamp('2023-01-01 04:00:00'): 12.0,\n", + " Timestamp('2023-01-01 05:00:00'): 13.4,\n", + " Timestamp('2023-01-01 06:00:00'): 13.1,\n", + " Timestamp('2023-01-01 07:00:00'): 12.7,\n", + " Timestamp('2023-01-01 08:00:00'): 12.1,\n", + " Timestamp('2023-01-01 09:00:00'): 11.9,\n", + " Timestamp('2023-01-01 10:00:00'): 11.4,\n", + " Timestamp('2023-01-01 11:00:00'): 11.0,\n", + " Timestamp('2023-01-01 12:00:00'): 11.3,\n", + " Timestamp('2023-01-01 13:00:00'): 10.1,\n", + " Timestamp('2023-01-01 14:00:00'): 10.9,\n", + " Timestamp('2023-01-01 15:00:00'): 11.8,\n", + " Timestamp('2023-01-01 16:00:00'): 12.9,\n", + " Timestamp('2023-01-01 17:00:00'): 13.8,\n", + " Timestamp('2023-01-01 18:00:00'): 15.0,\n", + " Timestamp('2023-01-01 19:00:00'): 13.1,\n", + " Timestamp('2023-01-01 20:00:00'): 11.6,\n", + " Timestamp('2023-01-01 21:00:00'): 10.7,\n", + " Timestamp('2023-01-01 22:00:00'): 8.3,\n", + " Timestamp('2023-01-01 23:00:00'): 8.8,\n", + " Timestamp('2023-01-02 00:00:00'): 8.0,\n", + " Timestamp('2023-01-02 01:00:00'): 7.3,\n", + " Timestamp('2023-01-02 02:00:00'): 7.5,\n", + " Timestamp('2023-01-02 03:00:00'): 7.7,\n", + " Timestamp('2023-01-02 04:00:00'): 7.4,\n", + " Timestamp('2023-01-02 05:00:00'): 7.0,\n", + " Timestamp('2023-01-02 06:00:00'): 7.0,\n", + " Timestamp('2023-01-02 07:00:00'): 6.7,\n", + " Timestamp('2023-01-02 08:00:00'): 6.9,\n", + " Timestamp('2023-01-02 09:00:00'): 6.8,\n", + " Timestamp('2023-01-02 10:00:00'): 6.8,\n", + " Timestamp('2023-01-02 11:00:00'): 6.6,\n", + " Timestamp('2023-01-02 12:00:00'): 6.0,\n", + " Timestamp('2023-01-02 13:00:00'): 6.3,\n", + " Timestamp('2023-01-02 14:00:00'): 7.0,\n", + " Timestamp('2023-01-02 15:00:00'): 7.4,\n", + " Timestamp('2023-01-02 16:00:00'): 8.0,\n", + " Timestamp('2023-01-02 17:00:00'): 9.8,\n", + " Timestamp('2023-01-02 18:00:00'): 10.0,\n", + " Timestamp('2023-01-02 19:00:00'): 8.3,\n", + " Timestamp('2023-01-02 20:00:00'): 9.9,\n", + " Timestamp('2023-01-02 21:00:00'): 9.9,\n", + " Timestamp('2023-01-02 22:00:00'): 8.7,\n", + " Timestamp('2023-01-02 23:00:00'): 9.9,\n", + " Timestamp('2023-01-03 00:00:00'): 10.5,\n", + " Timestamp('2023-01-03 01:00:00'): 9.9,\n", + " Timestamp('2023-01-03 02:00:00'): 9.5,\n", + " Timestamp('2023-01-03 03:00:00'): 8.2,\n", + " Timestamp('2023-01-03 04:00:00'): 8.0,\n", + " Timestamp('2023-01-03 05:00:00'): 7.7,\n", + " Timestamp('2023-01-03 06:00:00'): 7.4,\n", + " Timestamp('2023-01-03 07:00:00'): 7.2,\n", + " Timestamp('2023-01-03 08:00:00'): 6.8,\n", + " Timestamp('2023-01-03 09:00:00'): 7.9,\n", + " Timestamp('2023-01-03 10:00:00'): 8.5,\n", + " Timestamp('2023-01-03 11:00:00'): 8.5,\n", + " Timestamp('2023-01-03 12:00:00'): 8.9,\n", + " Timestamp('2023-01-03 13:00:00'): 9.1,\n", + " Timestamp('2023-01-03 14:00:00'): 8.6,\n", + " Timestamp('2023-01-03 15:00:00'): 8.5,\n", + " Timestamp('2023-01-03 16:00:00'): 8.3,\n", + " Timestamp('2023-01-03 17:00:00'): 11.3,\n", + " Timestamp('2023-01-03 18:00:00'): 13.9,\n", + " Timestamp('2023-01-03 19:00:00'): 12.5,\n", + " Timestamp('2023-01-03 20:00:00'): 11.1,\n", + " Timestamp('2023-01-03 21:00:00'): 11.0,\n", + " Timestamp('2023-01-03 22:00:00'): 11.8,\n", + " Timestamp('2023-01-03 23:00:00'): 11.4,\n", + " Timestamp('2023-01-04 00:00:00'): 10.8,\n", + " Timestamp('2023-01-04 01:00:00'): 9.8,\n", + " Timestamp('2023-01-04 02:00:00'): 9.4,\n", + " Timestamp('2023-01-04 03:00:00'): 13.5,\n", + " Timestamp('2023-01-04 04:00:00'): 12.5,\n", + " Timestamp('2023-01-04 05:00:00'): 15.9,\n", + " Timestamp('2023-01-04 06:00:00'): 18.5,\n", + " Timestamp('2023-01-04 07:00:00'): 18.4,\n", + " Timestamp('2023-01-04 08:00:00'): 17.6,\n", + " Timestamp('2023-01-04 09:00:00'): 18.1,\n", + " Timestamp('2023-01-04 10:00:00'): 16.7,\n", + " Timestamp('2023-01-04 11:00:00'): 15.2,\n", + " Timestamp('2023-01-04 12:00:00'): 14.5,\n", + " Timestamp('2023-01-04 13:00:00'): 12.7,\n", + " Timestamp('2023-01-04 14:00:00'): 13.3,\n", + " Timestamp('2023-01-04 15:00:00'): 14.1,\n", + " Timestamp('2023-01-04 16:00:00'): 10.0,\n", + " Timestamp('2023-01-04 17:00:00'): 10.2,\n", + " Timestamp('2023-01-04 18:00:00'): 13.5,\n", + " Timestamp('2023-01-04 19:00:00'): 14.0,\n", + " Timestamp('2023-01-04 20:00:00'): 13.2,\n", + " Timestamp('2023-01-04 21:00:00'): 13.4,\n", + " Timestamp('2023-01-04 22:00:00'): 10.3,\n", + " Timestamp('2023-01-04 23:00:00'): 12.0,\n", + " Timestamp('2023-01-05 00:00:00'): 13.3,\n", + " Timestamp('2023-01-05 01:00:00'): 9.0,\n", + " Timestamp('2023-01-05 02:00:00'): 11.5,\n", + " Timestamp('2023-01-05 03:00:00'): 12.4,\n", + " Timestamp('2023-01-05 04:00:00'): 11.5,\n", + " Timestamp('2023-01-05 05:00:00'): 14.1,\n", + " Timestamp('2023-01-05 06:00:00'): 14.1,\n", + " Timestamp('2023-01-05 07:00:00'): 14.7,\n", + " Timestamp('2023-01-05 08:00:00'): 15.5,\n", + " Timestamp('2023-01-05 09:00:00'): 15.1,\n", + " Timestamp('2023-01-05 10:00:00'): 14.7,\n", + " Timestamp('2023-01-05 11:00:00'): 15.2,\n", + " Timestamp('2023-01-05 13:00:00'): 14.8,\n", + " Timestamp('2023-01-05 14:00:00'): 14.5,\n", + " Timestamp('2023-01-05 16:00:00'): 12.9,\n", + " Timestamp('2023-01-05 17:00:00'): 13.6,\n", + " Timestamp('2023-01-05 18:00:00'): 13.7,\n", + " Timestamp('2023-01-05 19:00:00'): 12.7,\n", + " Timestamp('2023-01-05 20:00:00'): 13.1,\n", + " Timestamp('2023-01-05 21:00:00'): 13.1,\n", + " Timestamp('2023-01-05 22:00:00'): 13.0,\n", + " Timestamp('2023-01-05 23:00:00'): 13.6,\n", + " Timestamp('2023-01-06 00:00:00'): 11.4,\n", + " Timestamp('2023-01-06 01:00:00'): 12.9,\n", + " Timestamp('2023-01-06 02:00:00'): 8.6,\n", + " Timestamp('2023-01-06 03:00:00'): 10.0,\n", + " Timestamp('2023-01-06 04:00:00'): 8.9,\n", + " Timestamp('2023-01-06 05:00:00'): 8.5,\n", + " Timestamp('2023-01-06 06:00:00'): 9.1,\n", + " Timestamp('2023-01-06 07:00:00'): 7.0,\n", + " Timestamp('2023-01-06 08:00:00'): 7.5,\n", + " Timestamp('2023-01-06 09:00:00'): 7.5,\n", + " Timestamp('2023-01-06 10:00:00'): 7.9,\n", + " Timestamp('2023-01-06 11:00:00'): 8.0,\n", + " Timestamp('2023-01-06 12:00:00'): 7.7,\n", + " Timestamp('2023-01-06 13:00:00'): 8.2,\n", + " Timestamp('2023-01-06 14:00:00'): 8.7,\n", + " Timestamp('2023-01-06 15:00:00'): 8.8,\n", + " Timestamp('2023-01-06 16:00:00'): 8.3,\n", + " Timestamp('2023-01-06 17:00:00'): 8.3,\n", + " Timestamp('2023-01-06 18:00:00'): 8.5,\n", + " Timestamp('2023-01-06 19:00:00'): 9.0,\n", + " Timestamp('2023-01-06 20:00:00'): 9.0,\n", + " Timestamp('2023-01-06 21:00:00'): 8.8,\n", + " Timestamp('2023-01-06 22:00:00'): 8.5,\n", + " Timestamp('2023-01-06 23:00:00'): 7.7,\n", + " Timestamp('2023-01-07 00:00:00'): 7.0,\n", + " Timestamp('2023-01-07 01:00:00'): 6.5,\n", + " Timestamp('2023-01-07 02:00:00'): 6.3,\n", + " Timestamp('2023-01-07 03:00:00'): 6.2,\n", + " Timestamp('2023-01-07 04:00:00'): 6.1,\n", + " Timestamp('2023-01-07 05:00:00'): 6.1,\n", + " Timestamp('2023-01-07 06:00:00'): 5.9,\n", + " Timestamp('2023-01-07 07:00:00'): 5.7,\n", + " Timestamp('2023-01-07 08:00:00'): 5.6,\n", + " Timestamp('2023-01-07 09:00:00'): 5.5,\n", + " Timestamp('2023-01-07 10:00:00'): 5.5,\n", + " Timestamp('2023-01-07 11:00:00'): 5.3,\n", + " Timestamp('2023-01-07 12:00:00'): 5.2,\n", + " Timestamp('2023-01-07 13:00:00'): 5.1,\n", + " Timestamp('2023-01-07 14:00:00'): 5.0,\n", + " Timestamp('2023-01-07 15:00:00'): 5.8,\n", + " Timestamp('2023-01-07 16:00:00'): 6.9,\n", + " Timestamp('2023-01-07 17:00:00'): 7.4,\n", + " Timestamp('2023-01-07 18:00:00'): 8.0,\n", + " Timestamp('2023-01-07 19:00:00'): 8.2,\n", + " Timestamp('2023-01-07 20:00:00'): 8.3,\n", + " Timestamp('2023-01-07 21:00:00'): 8.3,\n", + " Timestamp('2023-01-07 22:00:00'): 7.4,\n", + " Timestamp('2023-01-07 23:00:00'): 7.1,\n", + " Timestamp('2023-01-08 00:00:00'): 6.4,\n", + " Timestamp('2023-01-08 01:00:00'): 5.7,\n", + " Timestamp('2023-01-08 02:00:00'): 4.9,\n", + " Timestamp('2023-01-08 03:00:00'): 4.4,\n", + " Timestamp('2023-01-08 04:00:00'): 4.1,\n", + " Timestamp('2023-01-08 05:00:00'): 3.5,\n", + " Timestamp('2023-01-08 06:00:00'): 3.0,\n", + " Timestamp('2023-01-08 07:00:00'): 2.3,\n", + " Timestamp('2023-01-08 08:00:00'): 2.3,\n", + " Timestamp('2023-01-08 09:00:00'): 2.1,\n", + " Timestamp('2023-01-08 10:00:00'): 1.5,\n", + " Timestamp('2023-01-08 11:00:00'): 1.2,\n", + " Timestamp('2023-01-08 12:00:00'): 1.1,\n", + " 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Timestamp('2023-01-09 10:00:00'): 3.6,\n", + " Timestamp('2023-01-09 11:00:00'): 3.7,\n", + " Timestamp('2023-01-09 12:00:00'): 3.3,\n", + " Timestamp('2023-01-09 13:00:00'): 2.7,\n", + " Timestamp('2023-01-09 14:00:00'): 3.2,\n", + " Timestamp('2023-01-09 15:00:00'): 4.4,\n", + " Timestamp('2023-01-09 16:00:00'): 5.4,\n", + " Timestamp('2023-01-09 17:00:00'): 6.1,\n", + " Timestamp('2023-01-09 18:00:00'): 7.1,\n", + " Timestamp('2023-01-09 19:00:00'): 7.9,\n", + " Timestamp('2023-01-09 20:00:00'): 8.4,\n", + " Timestamp('2023-01-09 21:00:00'): 8.3,\n", + " Timestamp('2023-01-09 22:00:00'): 7.6,\n", + " Timestamp('2023-01-09 23:00:00'): 7.2,\n", + " Timestamp('2023-01-10 00:00:00'): 6.8,\n", + " Timestamp('2023-01-10 01:00:00'): 6.1,\n", + " Timestamp('2023-01-10 02:00:00'): 5.4,\n", + " Timestamp('2023-01-10 03:00:00'): 5.1,\n", + " Timestamp('2023-01-10 04:00:00'): 4.6,\n", + " Timestamp('2023-01-10 05:00:00'): 4.2,\n", + " Timestamp('2023-01-10 06:00:00'): 3.5,\n", + " Timestamp('2023-01-10 07:00:00'): 3.4,\n", + " Timestamp('2023-01-10 08:00:00'): 3.2,\n", + " Timestamp('2023-01-10 09:00:00'): 3.2,\n", + " Timestamp('2023-01-10 10:00:00'): 3.0,\n", + " Timestamp('2023-01-10 11:00:00'): 2.8,\n", + " Timestamp('2023-01-10 12:00:00'): 2.7,\n", + " Timestamp('2023-01-10 13:00:00'): 2.8,\n", + " Timestamp('2023-01-10 14:00:00'): 3.2,\n", + " Timestamp('2023-01-10 15:00:00'): 4.0,\n", + " Timestamp('2023-01-10 16:00:00'): 3.9,\n", + " Timestamp('2023-01-10 17:00:00'): 3.6,\n", + " Timestamp('2023-01-10 18:00:00'): 4.4,\n", + " Timestamp('2023-01-10 19:00:00'): 5.1,\n", + " Timestamp('2023-01-10 20:00:00'): 5.3,\n", + " Timestamp('2023-01-10 21:00:00'): 5.7,\n", + " Timestamp('2023-01-10 22:00:00'): 5.4,\n", + " Timestamp('2023-01-10 23:00:00'): 4.9,\n", + " Timestamp('2023-01-11 00:00:00'): 4.6,\n", + " Timestamp('2023-01-11 01:00:00'): 4.4,\n", + " Timestamp('2023-01-11 02:00:00'): 4.3,\n", + " Timestamp('2023-01-11 03:00:00'): 4.3,\n", + " 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Timestamp('2023-01-12 01:00:00'): 5.3,\n", + " Timestamp('2023-01-12 02:00:00'): 5.3,\n", + " Timestamp('2023-01-12 03:00:00'): 5.2,\n", + " Timestamp('2023-01-12 04:00:00'): 5.1,\n", + " Timestamp('2023-01-12 05:00:00'): 4.7,\n", + " Timestamp('2023-01-12 06:00:00'): 4.6,\n", + " Timestamp('2023-01-12 07:00:00'): 4.8,\n", + " Timestamp('2023-01-12 08:00:00'): 4.9,\n", + " Timestamp('2023-01-12 09:00:00'): 5.0,\n", + " Timestamp('2023-01-12 10:00:00'): 5.3,\n", + " Timestamp('2023-01-12 11:00:00'): 5.5,\n", + " Timestamp('2023-01-12 12:00:00'): 5.7,\n", + " Timestamp('2023-01-12 13:00:00'): 5.8,\n", + " Timestamp('2023-01-12 14:00:00'): 5.7,\n", + " Timestamp('2023-01-12 15:00:00'): 5.4,\n", + " Timestamp('2023-01-12 16:00:00'): 5.8,\n", + " Timestamp('2023-01-12 17:00:00'): 7.0,\n", + " Timestamp('2023-01-12 18:00:00'): 7.8,\n", + " Timestamp('2023-01-12 19:00:00'): 7.0,\n", + " Timestamp('2023-01-12 20:00:00'): 6.9,\n", + " Timestamp('2023-01-12 21:00:00'): 7.2,\n", + " 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Timestamp('2023-01-19 22:00:00'): 5.2,\n", + " Timestamp('2023-01-19 23:00:00'): 5.1,\n", + " Timestamp('2023-01-20 00:00:00'): 5.3,\n", + " Timestamp('2023-01-20 01:00:00'): 5.4,\n", + " Timestamp('2023-01-20 02:00:00'): 5.8,\n", + " Timestamp('2023-01-20 03:00:00'): 5.9,\n", + " Timestamp('2023-01-20 04:00:00'): 6.0,\n", + " Timestamp('2023-01-20 05:00:00'): 5.9,\n", + " Timestamp('2023-01-20 06:00:00'): 6.1,\n", + " Timestamp('2023-01-20 07:00:00'): 6.0,\n", + " Timestamp('2023-01-20 08:00:00'): 6.0,\n", + " Timestamp('2023-01-20 09:00:00'): 5.9,\n", + " Timestamp('2023-01-20 10:00:00'): 5.9,\n", + " Timestamp('2023-01-20 11:00:00'): 6.0,\n", + " Timestamp('2023-01-20 12:00:00'): 5.8,\n", + " Timestamp('2023-01-20 13:00:00'): 7.0,\n", + " Timestamp('2023-01-20 14:00:00'): 8.3,\n", + " Timestamp('2023-01-20 15:00:00'): 8.7,\n", + " Timestamp('2023-01-20 16:00:00'): 8.7,\n", + " Timestamp('2023-01-20 17:00:00'): 8.8,\n", + " Timestamp('2023-01-20 18:00:00'): 8.8,\n", + " 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Timestamp('2023-01-26 22:00:00'): 7.7,\n", + " Timestamp('2023-01-26 23:00:00'): 7.7,\n", + " Timestamp('2023-01-27 00:00:00'): 7.3,\n", + " Timestamp('2023-01-27 01:00:00'): 6.8,\n", + " Timestamp('2023-01-27 02:00:00'): 6.1,\n", + " Timestamp('2023-01-27 03:00:00'): 6.0,\n", + " Timestamp('2023-01-27 04:00:00'): 5.6,\n", + " Timestamp('2023-01-27 05:00:00'): 5.3,\n", + " Timestamp('2023-01-27 06:00:00'): 5.2,\n", + " Timestamp('2023-01-27 07:00:00'): 4.8,\n", + " Timestamp('2023-01-27 08:00:00'): 4.0,\n", + " Timestamp('2023-01-27 09:00:00'): 3.8,\n", + " Timestamp('2023-01-27 10:00:00'): 3.5,\n", + " Timestamp('2023-01-27 11:00:00'): 3.1,\n", + " Timestamp('2023-01-27 12:00:00'): 2.6,\n", + " Timestamp('2023-01-27 13:00:00'): 2.5,\n", + " Timestamp('2023-01-27 14:00:00'): 2.4,\n", + " Timestamp('2023-01-27 15:00:00'): 3.3,\n", + " Timestamp('2023-01-27 16:00:00'): 3.8,\n", + " Timestamp('2023-01-27 17:00:00'): 4.0,\n", + " Timestamp('2023-01-27 18:00:00'): 4.1,\n", + " 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Timestamp('2023-02-06 06:00:00'): nan,\n", + " Timestamp('2023-02-06 07:00:00'): nan,\n", + " Timestamp('2023-02-06 08:00:00'): nan,\n", + " Timestamp('2023-02-06 09:00:00'): nan,\n", + " Timestamp('2023-02-06 10:00:00'): nan,\n", + " Timestamp('2023-02-06 11:00:00'): nan,\n", + " Timestamp('2023-02-06 12:00:00'): nan,\n", + " Timestamp('2023-02-06 13:00:00'): nan,\n", + " Timestamp('2023-02-06 14:00:00'): nan,\n", + " Timestamp('2023-02-06 15:00:00'): nan,\n", + " Timestamp('2023-02-06 16:00:00'): nan,\n", + " Timestamp('2023-02-06 17:00:00'): nan,\n", + " Timestamp('2023-02-06 18:00:00'): nan,\n", + " Timestamp('2023-02-06 19:00:00'): nan,\n", + " Timestamp('2023-02-06 20:00:00'): nan,\n", + " Timestamp('2023-02-06 21:00:00'): nan,\n", + " Timestamp('2023-02-06 22:00:00'): nan,\n", + " Timestamp('2023-02-06 23:00:00'): nan,\n", + " Timestamp('2023-02-07 00:00:00'): nan,\n", + " Timestamp('2023-02-07 01:00:00'): nan,\n", + " Timestamp('2023-02-07 02:00:00'): nan,\n", + " Timestamp('2023-02-07 03:00:00'): nan,\n", + " Timestamp('2023-02-07 04:00:00'): nan,\n", + " Timestamp('2023-02-07 05:00:00'): nan,\n", + " Timestamp('2023-02-07 06:00:00'): nan,\n", + " Timestamp('2023-02-07 07:00:00'): nan,\n", + " Timestamp('2023-02-07 08:00:00'): nan,\n", + " Timestamp('2023-02-07 09:00:00'): nan,\n", + " Timestamp('2023-02-07 10:00:00'): nan,\n", + " Timestamp('2023-02-07 11:00:00'): nan,\n", + " Timestamp('2023-02-07 12:00:00'): nan,\n", + " Timestamp('2023-02-07 13:00:00'): nan,\n", + " Timestamp('2023-02-07 14:00:00'): nan,\n", + " Timestamp('2023-02-07 15:00:00'): nan,\n", + " Timestamp('2023-02-07 16:00:00'): nan,\n", + " Timestamp('2023-02-07 17:00:00'): nan,\n", + " Timestamp('2023-02-07 18:00:00'): nan,\n", + " Timestamp('2023-02-07 19:00:00'): nan,\n", + " Timestamp('2023-02-07 20:00:00'): nan,\n", + " Timestamp('2023-02-07 21:00:00'): nan,\n", + " Timestamp('2023-02-07 22:00:00'): nan,\n", + " Timestamp('2023-02-07 23:00:00'): nan,\n", + " Timestamp('2023-02-08 00:00:00'): nan,\n", + " Timestamp('2023-02-08 01:00:00'): nan,\n", + " Timestamp('2023-02-08 02:00:00'): nan,\n", + " Timestamp('2023-02-08 03:00:00'): nan,\n", + " Timestamp('2023-02-08 04:00:00'): nan,\n", + " Timestamp('2023-02-08 05:00:00'): nan,\n", + " Timestamp('2023-02-08 06:00:00'): nan,\n", + " Timestamp('2023-02-08 07:00:00'): nan,\n", + " Timestamp('2023-02-08 08:00:00'): nan,\n", + " Timestamp('2023-02-08 09:00:00'): nan,\n", + " Timestamp('2023-02-08 10:00:00'): nan,\n", + " Timestamp('2023-02-08 11:00:00'): nan,\n", + " Timestamp('2023-02-08 12:00:00'): nan,\n", + " Timestamp('2023-02-08 13:00:00'): nan,\n", + " Timestamp('2023-02-08 14:00:00'): nan,\n", + " Timestamp('2023-02-08 15:00:00'): nan,\n", + " Timestamp('2023-02-08 16:00:00'): nan,\n", + " Timestamp('2023-02-08 17:00:00'): nan,\n", + " Timestamp('2023-02-08 18:00:00'): nan,\n", + " Timestamp('2023-02-08 19:00:00'): nan,\n", + " Timestamp('2023-02-08 20:00:00'): nan,\n", + " Timestamp('2023-02-08 21:00:00'): nan,\n", + " Timestamp('2023-02-08 22:00:00'): nan,\n", + " Timestamp('2023-02-08 23:00:00'): nan,\n", + " Timestamp('2023-02-09 00:00:00'): nan,\n", + " Timestamp('2023-02-09 01:00:00'): nan,\n", + " Timestamp('2023-02-09 02:00:00'): nan,\n", + " Timestamp('2023-02-09 03:00:00'): nan,\n", + " Timestamp('2023-02-09 04:00:00'): nan,\n", + " Timestamp('2023-02-09 05:00:00'): nan,\n", + " Timestamp('2023-02-09 06:00:00'): nan,\n", + " Timestamp('2023-02-09 07:00:00'): nan,\n", + " Timestamp('2023-02-09 08:00:00'): nan,\n", + " Timestamp('2023-02-09 09:00:00'): nan,\n", + " Timestamp('2023-02-09 10:00:00'): nan,\n", + " Timestamp('2023-02-09 11:00:00'): nan,\n", + " Timestamp('2023-02-09 12:00:00'): nan,\n", + " Timestamp('2023-02-09 13:00:00'): nan,\n", + " Timestamp('2023-02-09 14:00:00'): nan,\n", + " Timestamp('2023-02-09 15:00:00'): nan,\n", + " Timestamp('2023-02-09 16:00:00'): nan,\n", + " Timestamp('2023-02-09 17:00:00'): nan,\n", + " Timestamp('2023-02-09 18:00:00'): nan,\n", + " Timestamp('2023-02-09 19:00:00'): nan,\n", + " Timestamp('2023-02-09 20:00:00'): nan,\n", + " Timestamp('2023-02-09 21:00:00'): nan,\n", + " Timestamp('2023-02-09 22:00:00'): nan,\n", + " Timestamp('2023-02-09 23:00:00'): nan,\n", + " Timestamp('2023-02-10 00:00:00'): nan,\n", + " Timestamp('2023-02-10 01:00:00'): nan,\n", + " Timestamp('2023-02-10 03:00:00'): nan,\n", + " Timestamp('2023-02-10 04:00:00'): nan,\n", + " Timestamp('2023-02-10 05:00:00'): nan,\n", + " Timestamp('2023-02-10 06:00:00'): nan,\n", + " Timestamp('2023-02-10 07:00:00'): nan,\n", + " Timestamp('2023-02-10 08:00:00'): nan,\n", + " Timestamp('2023-02-10 09:00:00'): nan,\n", + " Timestamp('2023-02-10 10:00:00'): nan,\n", + " Timestamp('2023-02-10 11:00:00'): nan,\n", + " Timestamp('2023-02-10 12:00:00'): nan,\n", + " Timestamp('2023-02-10 13:00:00'): nan,\n", + " Timestamp('2023-02-10 14:00:00'): nan,\n", + " Timestamp('2023-02-10 15:00:00'): nan,\n", + " Timestamp('2023-02-10 16:00:00'): nan,\n", + " Timestamp('2023-02-10 17:00:00'): nan,\n", + " Timestamp('2023-02-10 18:00:00'): nan,\n", + " Timestamp('2023-02-10 19:00:00'): nan,\n", + " Timestamp('2023-02-10 20:00:00'): nan,\n", + " Timestamp('2023-02-10 21:00:00'): nan,\n", + " Timestamp('2023-02-10 22:00:00'): nan,\n", + " Timestamp('2023-02-10 23:00:00'): nan,\n", + " Timestamp('2023-02-11 00:00:00'): nan,\n", + " Timestamp('2023-02-11 01:00:00'): nan,\n", + " Timestamp('2023-02-11 02:00:00'): nan,\n", + " Timestamp('2023-02-11 03:00:00'): nan,\n", + " Timestamp('2023-02-11 04:00:00'): nan,\n", + " Timestamp('2023-02-11 05:00:00'): nan,\n", + " Timestamp('2023-02-11 06:00:00'): nan,\n", + " Timestamp('2023-02-11 07:00:00'): nan,\n", + " Timestamp('2023-02-11 08:00:00'): nan,\n", + " Timestamp('2023-02-11 09:00:00'): nan,\n", + " Timestamp('2023-02-11 10:00:00'): nan,\n", + " Timestamp('2023-02-11 11:00:00'): nan,\n", + " Timestamp('2023-02-11 12:00:00'): nan,\n", + " Timestamp('2023-02-11 13:00:00'): nan,\n", + " Timestamp('2023-02-11 14:00:00'): nan,\n", + " Timestamp('2023-02-11 15:00:00'): nan,\n", + " Timestamp('2023-02-11 16:00:00'): nan,\n", + " Timestamp('2023-02-11 17:00:00'): nan,\n", + " Timestamp('2023-02-11 18:00:00'): nan,\n", + " Timestamp('2023-02-11 19:00:00'): nan,\n", + " ...},\n", + " 'VIS': {Timestamp('2023-01-01 00:00:00'): nan,\n", + " Timestamp('2023-01-01 01:00:00'): nan,\n", + " Timestamp('2023-01-01 02:00:00'): nan,\n", + " Timestamp('2023-01-01 03:00:00'): nan,\n", + " Timestamp('2023-01-01 04:00:00'): nan,\n", + " Timestamp('2023-01-01 05:00:00'): nan,\n", + " Timestamp('2023-01-01 06:00:00'): nan,\n", + " Timestamp('2023-01-01 07:00:00'): nan,\n", + " Timestamp('2023-01-01 08:00:00'): nan,\n", + " Timestamp('2023-01-01 09:00:00'): nan,\n", + " Timestamp('2023-01-01 10:00:00'): nan,\n", + " Timestamp('2023-01-01 11:00:00'): nan,\n", + " Timestamp('2023-01-01 12:00:00'): nan,\n", + " Timestamp('2023-01-01 13:00:00'): nan,\n", + " Timestamp('2023-01-01 14:00:00'): nan,\n", + " Timestamp('2023-01-01 15:00:00'): nan,\n", + " Timestamp('2023-01-01 16:00:00'): nan,\n", + " Timestamp('2023-01-01 17:00:00'): nan,\n", + " Timestamp('2023-01-01 18:00:00'): nan,\n", + " Timestamp('2023-01-01 19:00:00'): nan,\n", + " Timestamp('2023-01-01 20:00:00'): nan,\n", + " Timestamp('2023-01-01 21:00:00'): nan,\n", + " Timestamp('2023-01-01 22:00:00'): nan,\n", + " Timestamp('2023-01-01 23:00:00'): nan,\n", + " Timestamp('2023-01-02 00:00:00'): nan,\n", + " Timestamp('2023-01-02 01:00:00'): nan,\n", + " Timestamp('2023-01-02 02:00:00'): nan,\n", + " Timestamp('2023-01-02 03:00:00'): nan,\n", + " Timestamp('2023-01-02 04:00:00'): nan,\n", + " Timestamp('2023-01-02 05:00:00'): nan,\n", + " Timestamp('2023-01-02 06:00:00'): nan,\n", + " Timestamp('2023-01-02 07:00:00'): nan,\n", + " Timestamp('2023-01-02 08:00:00'): nan,\n", + " Timestamp('2023-01-02 09:00:00'): nan,\n", + " Timestamp('2023-01-02 10:00:00'): nan,\n", + " Timestamp('2023-01-02 11:00:00'): nan,\n", + " Timestamp('2023-01-02 12:00:00'): nan,\n", + " Timestamp('2023-01-02 13:00:00'): nan,\n", + " Timestamp('2023-01-02 14:00:00'): nan,\n", + " Timestamp('2023-01-02 15:00:00'): nan,\n", + " Timestamp('2023-01-02 16:00:00'): nan,\n", + " Timestamp('2023-01-02 17:00:00'): nan,\n", + " Timestamp('2023-01-02 18:00:00'): nan,\n", + " Timestamp('2023-01-02 19:00:00'): nan,\n", + " Timestamp('2023-01-02 20:00:00'): nan,\n", + " Timestamp('2023-01-02 21:00:00'): nan,\n", + " Timestamp('2023-01-02 22:00:00'): nan,\n", + " Timestamp('2023-01-02 23:00:00'): nan,\n", + " Timestamp('2023-01-03 00:00:00'): nan,\n", + " Timestamp('2023-01-03 01:00:00'): nan,\n", + " Timestamp('2023-01-03 02:00:00'): nan,\n", + " Timestamp('2023-01-03 03:00:00'): nan,\n", + " Timestamp('2023-01-03 04:00:00'): nan,\n", + " Timestamp('2023-01-03 05:00:00'): nan,\n", + " Timestamp('2023-01-03 06:00:00'): nan,\n", + " Timestamp('2023-01-03 07:00:00'): nan,\n", + " Timestamp('2023-01-03 08:00:00'): nan,\n", + " Timestamp('2023-01-03 09:00:00'): nan,\n", + " Timestamp('2023-01-03 10:00:00'): nan,\n", + " Timestamp('2023-01-03 11:00:00'): nan,\n", + " Timestamp('2023-01-03 12:00:00'): nan,\n", + " Timestamp('2023-01-03 13:00:00'): nan,\n", + " Timestamp('2023-01-03 14:00:00'): nan,\n", + " Timestamp('2023-01-03 15:00:00'): nan,\n", + " Timestamp('2023-01-03 16:00:00'): nan,\n", + " Timestamp('2023-01-03 17:00:00'): nan,\n", + " Timestamp('2023-01-03 18:00:00'): nan,\n", + " Timestamp('2023-01-03 19:00:00'): nan,\n", + " Timestamp('2023-01-03 20:00:00'): nan,\n", + " Timestamp('2023-01-03 21:00:00'): nan,\n", + " Timestamp('2023-01-03 22:00:00'): nan,\n", + " Timestamp('2023-01-03 23:00:00'): nan,\n", + " Timestamp('2023-01-04 00:00:00'): nan,\n", + " Timestamp('2023-01-04 01:00:00'): nan,\n", + " Timestamp('2023-01-04 02:00:00'): nan,\n", + " Timestamp('2023-01-04 03:00:00'): nan,\n", + " Timestamp('2023-01-04 04:00:00'): nan,\n", + " 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Timestamp('2023-01-04 23:06:00'): 2.4,\n", + " Timestamp('2023-01-04 23:12:00'): 2.7,\n", + " Timestamp('2023-01-04 23:18:00'): 1.5,\n", + " Timestamp('2023-01-04 23:24:00'): 2.3,\n", + " Timestamp('2023-01-04 23:30:00'): 2.6,\n", + " Timestamp('2023-01-04 23:36:00'): 2.1,\n", + " Timestamp('2023-01-04 23:42:00'): 1.9,\n", + " Timestamp('2023-01-04 23:48:00'): 1.7,\n", + " Timestamp('2023-01-04 23:54:00'): 1.9,\n", + " Timestamp('2023-01-05 00:00:00'): 1.8,\n", + " Timestamp('2023-01-05 00:06:00'): 0.9,\n", + " Timestamp('2023-01-05 00:12:00'): 1.7,\n", + " Timestamp('2023-01-05 00:18:00'): 1.0,\n", + " Timestamp('2023-01-05 00:24:00'): 1.6,\n", + " Timestamp('2023-01-05 00:30:00'): 1.3,\n", + " Timestamp('2023-01-05 00:36:00'): 1.4,\n", + " Timestamp('2023-01-05 00:42:00'): 0.8,\n", + " Timestamp('2023-01-05 00:48:00'): 0.9,\n", + " Timestamp('2023-01-05 00:54:00'): 1.4,\n", + " Timestamp('2023-01-05 01:00:00'): 0.9,\n", + " Timestamp('2023-01-05 01:06:00'): 0.9,\n", + " Timestamp('2023-01-05 01:12:00'): 1.0,\n", + " Timestamp('2023-01-05 01:18:00'): 1.4,\n", + " Timestamp('2023-01-05 01:24:00'): 1.6,\n", + " Timestamp('2023-01-05 01:30:00'): 1.6,\n", + " Timestamp('2023-01-05 01:36:00'): 1.9,\n", + " Timestamp('2023-01-05 01:42:00'): 1.9,\n", + " Timestamp('2023-01-05 01:48:00'): 1.4,\n", + " Timestamp('2023-01-05 01:54:00'): 0.8,\n", + " Timestamp('2023-01-05 02:00:00'): 1.0,\n", + " Timestamp('2023-01-05 02:06:00'): 2.2,\n", + " Timestamp('2023-01-05 02:12:00'): 2.4,\n", + " Timestamp('2023-01-05 02:18:00'): 2.9,\n", + " Timestamp('2023-01-05 02:24:00'): 2.9,\n", + " Timestamp('2023-01-05 02:30:00'): 2.5,\n", + " Timestamp('2023-01-05 02:36:00'): 2.1,\n", + " Timestamp('2023-01-05 02:42:00'): 1.7,\n", + " Timestamp('2023-01-05 02:48:00'): 2.4,\n", + " Timestamp('2023-01-05 02:54:00'): 2.4,\n", + " Timestamp('2023-01-05 03:00:00'): 1.9,\n", + " Timestamp('2023-01-05 03:06:00'): 1.5,\n", + " Timestamp('2023-01-05 03:12:00'): 1.9,\n", + " Timestamp('2023-01-05 03:18:00'): 1.2,\n", + " Timestamp('2023-01-05 03:24:00'): 1.3,\n", + " Timestamp('2023-01-05 03:30:00'): 1.1,\n", + " Timestamp('2023-01-05 03:36:00'): 1.2,\n", + " Timestamp('2023-01-05 03:42:00'): 2.4,\n", + " Timestamp('2023-01-05 03:48:00'): 2.0,\n", + " Timestamp('2023-01-05 03:54:00'): 1.6,\n", + " Timestamp('2023-01-05 04:00:00'): 1.3,\n", + " Timestamp('2023-01-05 04:06:00'): 1.1,\n", + " ...},\n", + " 'GST': {Timestamp('2023-01-01 00:00:00'): 3.5,\n", + " Timestamp('2023-01-01 00:06:00'): 2.6,\n", + " Timestamp('2023-01-01 00:12:00'): 2.8,\n", + " Timestamp('2023-01-01 00:18:00'): 4.8,\n", + " Timestamp('2023-01-01 00:24:00'): 5.2,\n", + " Timestamp('2023-01-01 00:30:00'): 2.7,\n", + " Timestamp('2023-01-01 00:36:00'): 1.8,\n", + " Timestamp('2023-01-01 00:42:00'): 0.8,\n", + " Timestamp('2023-01-01 01:00:00'): 1.4,\n", + " Timestamp('2023-01-01 01:06:00'): 1.8,\n", + " Timestamp('2023-01-01 01:12:00'): 3.0,\n", + " Timestamp('2023-01-01 01:18:00'): 2.5,\n", + " Timestamp('2023-01-01 01:24:00'): 1.9,\n", + " Timestamp('2023-01-01 01:30:00'): 1.4,\n", + " Timestamp('2023-01-01 01:36:00'): 1.4,\n", + " Timestamp('2023-01-01 01:42:00'): 2.1,\n", + " Timestamp('2023-01-01 01:48:00'): 3.0,\n", + " Timestamp('2023-01-01 01:54:00'): 1.3,\n", + " Timestamp('2023-01-01 02:00:00'): 1.5,\n", + " Timestamp('2023-01-01 02:06:00'): 1.5,\n", + " Timestamp('2023-01-01 02:12:00'): 1.4,\n", + " Timestamp('2023-01-01 02:18:00'): 1.8,\n", + " Timestamp('2023-01-01 02:24:00'): 1.8,\n", + " Timestamp('2023-01-01 02:30:00'): 2.0,\n", + " Timestamp('2023-01-01 02:36:00'): 1.6,\n", + " Timestamp('2023-01-01 02:42:00'): 1.1,\n", + " Timestamp('2023-01-01 02:48:00'): 1.1,\n", + " Timestamp('2023-01-01 02:54:00'): 1.2,\n", + " Timestamp('2023-01-01 03:00:00'): 2.2,\n", + " Timestamp('2023-01-01 03:06:00'): 3.1,\n", + " Timestamp('2023-01-01 03:12:00'): 2.3,\n", + " Timestamp('2023-01-01 03:18:00'): 1.5,\n", + " Timestamp('2023-01-01 03:24:00'): 1.6,\n", + " Timestamp('2023-01-01 03:30:00'): 2.7,\n", + " Timestamp('2023-01-01 03:36:00'): 1.9,\n", + " Timestamp('2023-01-01 03:42:00'): 1.1,\n", + " Timestamp('2023-01-01 03:48:00'): 1.1,\n", + " Timestamp('2023-01-01 03:54:00'): 0.8,\n", + " Timestamp('2023-01-01 04:00:00'): 0.8,\n", + " Timestamp('2023-01-01 04:06:00'): 0.2,\n", + " Timestamp('2023-01-01 04:12:00'): 2.0,\n", + " Timestamp('2023-01-01 04:18:00'): 0.9,\n", + " Timestamp('2023-01-01 04:24:00'): 1.3,\n", + " Timestamp('2023-01-01 04:30:00'): 2.1,\n", + " Timestamp('2023-01-01 04:36:00'): 2.5,\n", + " Timestamp('2023-01-01 04:42:00'): 2.0,\n", + " Timestamp('2023-01-01 04:48:00'): 3.1,\n", + " Timestamp('2023-01-01 04:54:00'): 2.2,\n", + " Timestamp('2023-01-01 05:00:00'): 2.1,\n", + " Timestamp('2023-01-01 05:06:00'): 3.5,\n", + " Timestamp('2023-01-01 05:12:00'): 4.0,\n", + " Timestamp('2023-01-01 05:18:00'): 4.5,\n", + " Timestamp('2023-01-01 05:24:00'): 4.0,\n", + " Timestamp('2023-01-01 05:30:00'): 4.2,\n", + " Timestamp('2023-01-01 05:36:00'): 4.6,\n", + " Timestamp('2023-01-01 05:42:00'): 3.7,\n", + " Timestamp('2023-01-01 05:48:00'): 4.4,\n", + " Timestamp('2023-01-01 05:54:00'): 3.4,\n", + " Timestamp('2023-01-01 06:00:00'): 4.5,\n", + " Timestamp('2023-01-01 06:06:00'): 3.1,\n", + " Timestamp('2023-01-01 06:12:00'): 3.5,\n", + " Timestamp('2023-01-01 06:18:00'): 3.5,\n", + " Timestamp('2023-01-01 06:24:00'): 4.0,\n", + " Timestamp('2023-01-01 06:30:00'): 2.9,\n", + " Timestamp('2023-01-01 06:36:00'): 2.5,\n", + " Timestamp('2023-01-01 06:42:00'): 2.1,\n", + " Timestamp('2023-01-01 06:48:00'): 2.1,\n", + " Timestamp('2023-01-01 06:54:00'): 2.9,\n", + " Timestamp('2023-01-01 07:00:00'): 2.7,\n", + " Timestamp('2023-01-01 07:06:00'): 2.3,\n", + " Timestamp('2023-01-01 07:12:00'): 2.5,\n", + " Timestamp('2023-01-01 07:18:00'): 1.8,\n", + " Timestamp('2023-01-01 07:24:00'): 1.2,\n", + " Timestamp('2023-01-01 07:30:00'): 1.5,\n", + " Timestamp('2023-01-01 07:36:00'): 1.5,\n", + " Timestamp('2023-01-01 07:42:00'): 1.6,\n", + " Timestamp('2023-01-01 07:48:00'): 2.2,\n", + " Timestamp('2023-01-01 07:54:00'): 1.8,\n", + " Timestamp('2023-01-01 08:00:00'): 1.5,\n", + " Timestamp('2023-01-01 08:06:00'): 1.9,\n", + " Timestamp('2023-01-01 08:12:00'): 2.6,\n", + " Timestamp('2023-01-01 08:18:00'): 3.1,\n", + " Timestamp('2023-01-01 08:24:00'): 3.2,\n", + " Timestamp('2023-01-01 08:30:00'): 2.1,\n", + " Timestamp('2023-01-01 08:36:00'): 2.1,\n", + " Timestamp('2023-01-01 08:42:00'): 2.4,\n", + " Timestamp('2023-01-01 08:48:00'): 2.8,\n", + " Timestamp('2023-01-01 08:54:00'): 2.9,\n", + " Timestamp('2023-01-01 09:00:00'): 2.4,\n", + " Timestamp('2023-01-01 09:06:00'): 2.8,\n", + " Timestamp('2023-01-01 09:12:00'): 2.1,\n", + " Timestamp('2023-01-01 09:18:00'): 2.1,\n", + " Timestamp('2023-01-01 09:24:00'): 1.4,\n", + " Timestamp('2023-01-01 09:30:00'): 1.7,\n", + " Timestamp('2023-01-01 09:36:00'): 1.1,\n", + " Timestamp('2023-01-01 09:42:00'): 1.1,\n", + " Timestamp('2023-01-01 09:48:00'): 1.3,\n", + " Timestamp('2023-01-01 09:54:00'): 0.2,\n", + " Timestamp('2023-01-01 10:00:00'): 1.6,\n", + " Timestamp('2023-01-01 10:06:00'): 1.9,\n", + " Timestamp('2023-01-01 10:12:00'): 1.2,\n", + " Timestamp('2023-01-01 10:18:00'): 0.9,\n", + " Timestamp('2023-01-01 10:24:00'): 1.1,\n", + " Timestamp('2023-01-01 10:30:00'): 1.8,\n", + " Timestamp('2023-01-01 10:36:00'): 1.8,\n", + " Timestamp('2023-01-01 10:42:00'): 1.3,\n", + " Timestamp('2023-01-01 10:48:00'): 1.3,\n", + " Timestamp('2023-01-01 10:54:00'): 1.3,\n", + " Timestamp('2023-01-01 11:00:00'): 1.4,\n", + " Timestamp('2023-01-01 11:06:00'): 0.8,\n", + " Timestamp('2023-01-01 11:12:00'): 1.1,\n", + " Timestamp('2023-01-01 11:18:00'): 1.2,\n", + " Timestamp('2023-01-01 11:24:00'): 1.3,\n", + " Timestamp('2023-01-01 11:30:00'): 1.4,\n", + " Timestamp('2023-01-01 11:36:00'): 1.3,\n", + " Timestamp('2023-01-01 11:42:00'): 1.3,\n", + " Timestamp('2023-01-01 11:48:00'): 1.6,\n", + " Timestamp('2023-01-01 11:54:00'): 1.6,\n", + " Timestamp('2023-01-01 12:00:00'): 1.6,\n", + " Timestamp('2023-01-01 12:06:00'): 1.5,\n", + " Timestamp('2023-01-01 12:12:00'): 1.2,\n", + " Timestamp('2023-01-01 12:18:00'): 1.3,\n", + " Timestamp('2023-01-01 12:24:00'): nan,\n", + " Timestamp('2023-01-01 12:30:00'): nan,\n", + " Timestamp('2023-01-01 12:36:00'): 1.8,\n", + " Timestamp('2023-01-01 12:42:00'): 1.7,\n", + " Timestamp('2023-01-01 12:48:00'): 1.8,\n", + " Timestamp('2023-01-01 12:54:00'): 2.1,\n", + " Timestamp('2023-01-01 13:00:00'): 1.6,\n", + " Timestamp('2023-01-01 13:06:00'): 2.0,\n", + " Timestamp('2023-01-01 13:12:00'): 1.9,\n", + " Timestamp('2023-01-01 13:18:00'): 1.8,\n", + " Timestamp('2023-01-01 13:24:00'): 2.0,\n", + " Timestamp('2023-01-01 13:30:00'): 2.1,\n", + " Timestamp('2023-01-01 13:36:00'): 1.8,\n", + " Timestamp('2023-01-01 13:42:00'): 1.9,\n", + " Timestamp('2023-01-01 13:48:00'): 1.4,\n", + " Timestamp('2023-01-01 13:54:00'): 1.1,\n", + " Timestamp('2023-01-01 14:00:00'): 1.4,\n", + " Timestamp('2023-01-01 14:06:00'): 2.2,\n", + " Timestamp('2023-01-01 14:12:00'): 2.5,\n", + " Timestamp('2023-01-01 14:18:00'): 3.1,\n", + " Timestamp('2023-01-01 14:24:00'): nan,\n", + " Timestamp('2023-01-01 14:30:00'): nan,\n", + " Timestamp('2023-01-01 14:36:00'): 3.2,\n", + " Timestamp('2023-01-01 14:42:00'): 3.4,\n", + " Timestamp('2023-01-01 14:48:00'): 4.3,\n", + " Timestamp('2023-01-01 14:54:00'): 4.4,\n", + " Timestamp('2023-01-01 15:00:00'): 3.9,\n", + " Timestamp('2023-01-01 15:06:00'): 3.9,\n", + " Timestamp('2023-01-01 15:12:00'): 2.4,\n", + " Timestamp('2023-01-01 15:18:00'): 2.5,\n", + " Timestamp('2023-01-01 15:24:00'): 2.6,\n", + " Timestamp('2023-01-01 15:30:00'): 4.2,\n", + " Timestamp('2023-01-01 15:36:00'): 4.4,\n", + " Timestamp('2023-01-01 15:42:00'): 5.3,\n", + " Timestamp('2023-01-01 15:48:00'): 4.8,\n", + " Timestamp('2023-01-01 15:54:00'): 6.4,\n", + " Timestamp('2023-01-01 16:00:00'): 5.4,\n", + " Timestamp('2023-01-01 16:06:00'): 5.9,\n", + " Timestamp('2023-01-01 16:12:00'): 6.5,\n", + " Timestamp('2023-01-01 16:18:00'): 5.8,\n", + " Timestamp('2023-01-01 16:24:00'): 5.4,\n", + " Timestamp('2023-01-01 16:30:00'): 4.8,\n", + " Timestamp('2023-01-01 16:36:00'): 5.0,\n", + " Timestamp('2023-01-01 16:42:00'): 6.3,\n", + " Timestamp('2023-01-01 16:48:00'): 6.5,\n", + " Timestamp('2023-01-01 16:54:00'): 6.7,\n", + " Timestamp('2023-01-01 17:00:00'): 5.1,\n", + " Timestamp('2023-01-01 17:06:00'): 6.1,\n", + " Timestamp('2023-01-01 17:12:00'): 7.5,\n", + " Timestamp('2023-01-01 17:18:00'): 7.8,\n", + " Timestamp('2023-01-01 17:24:00'): 6.5,\n", + " Timestamp('2023-01-01 17:30:00'): 6.1,\n", + " Timestamp('2023-01-01 17:36:00'): 6.3,\n", + " Timestamp('2023-01-01 17:42:00'): 6.0,\n", + " Timestamp('2023-01-01 17:48:00'): 6.6,\n", + " Timestamp('2023-01-01 17:54:00'): 7.5,\n", + " Timestamp('2023-01-01 18:00:00'): 6.2,\n", + " Timestamp('2023-01-01 18:06:00'): 5.9,\n", + " Timestamp('2023-01-01 18:12:00'): 6.1,\n", + " Timestamp('2023-01-01 18:18:00'): 6.4,\n", + " Timestamp('2023-01-01 18:24:00'): 7.2,\n", + " Timestamp('2023-01-01 18:30:00'): 4.5,\n", + " Timestamp('2023-01-01 18:36:00'): 5.2,\n", + " Timestamp('2023-01-01 18:42:00'): 5.1,\n", + " Timestamp('2023-01-01 18:48:00'): 5.2,\n", + " Timestamp('2023-01-01 18:54:00'): 3.5,\n", + " Timestamp('2023-01-01 19:00:00'): 3.7,\n", + " Timestamp('2023-01-01 19:06:00'): 3.3,\n", + " Timestamp('2023-01-01 19:12:00'): 4.3,\n", + " Timestamp('2023-01-01 19:18:00'): 5.3,\n", + " Timestamp('2023-01-01 19:24:00'): 3.4,\n", + " Timestamp('2023-01-01 19:30:00'): 3.7,\n", + " Timestamp('2023-01-01 19:36:00'): 4.0,\n", + " Timestamp('2023-01-01 19:42:00'): 3.1,\n", + " Timestamp('2023-01-01 19:48:00'): 2.6,\n", + " Timestamp('2023-01-01 19:54:00'): 2.8,\n", + " Timestamp('2023-01-01 20:00:00'): 3.1,\n", + " Timestamp('2023-01-01 20:06:00'): 4.1,\n", + " Timestamp('2023-01-01 20:12:00'): 2.2,\n", + " Timestamp('2023-01-01 20:18:00'): 3.0,\n", + " Timestamp('2023-01-01 20:24:00'): 3.3,\n", + " Timestamp('2023-01-01 20:30:00'): 2.7,\n", + " Timestamp('2023-01-01 20:36:00'): 2.0,\n", + " Timestamp('2023-01-01 20:42:00'): 2.6,\n", + " Timestamp('2023-01-01 20:48:00'): 2.3,\n", + " Timestamp('2023-01-01 20:54:00'): 1.8,\n", + " Timestamp('2023-01-01 21:00:00'): 1.6,\n", + " Timestamp('2023-01-01 21:06:00'): 2.1,\n", + " Timestamp('2023-01-01 21:12:00'): 2.7,\n", + " Timestamp('2023-01-01 21:18:00'): 3.6,\n", + " Timestamp('2023-01-01 21:24:00'): 2.8,\n", + " Timestamp('2023-01-01 21:30:00'): 2.3,\n", + " Timestamp('2023-01-01 21:36:00'): 1.9,\n", + " Timestamp('2023-01-01 21:42:00'): 1.6,\n", + " Timestamp('2023-01-01 21:48:00'): 3.2,\n", + " Timestamp('2023-01-01 21:54:00'): 3.3,\n", + " Timestamp('2023-01-01 22:00:00'): 3.1,\n", + " Timestamp('2023-01-01 22:06:00'): 2.5,\n", + " Timestamp('2023-01-01 22:12:00'): 1.5,\n", + " Timestamp('2023-01-01 22:18:00'): 1.8,\n", + " Timestamp('2023-01-01 22:24:00'): 1.5,\n", + " Timestamp('2023-01-01 22:30:00'): 1.5,\n", + " Timestamp('2023-01-01 22:36:00'): 1.5,\n", + " Timestamp('2023-01-01 22:42:00'): 1.7,\n", + " Timestamp('2023-01-01 22:48:00'): 1.7,\n", + " Timestamp('2023-01-01 22:54:00'): 1.3,\n", + " Timestamp('2023-01-01 23:00:00'): 0.3,\n", + " Timestamp('2023-01-01 23:06:00'): 0.6,\n", + " Timestamp('2023-01-01 23:12:00'): 0.7,\n", + " Timestamp('2023-01-01 23:18:00'): 0.4,\n", + " Timestamp('2023-01-01 23:24:00'): 0.8,\n", + " Timestamp('2023-01-01 23:30:00'): 1.1,\n", + " Timestamp('2023-01-01 23:36:00'): 1.6,\n", + " Timestamp('2023-01-01 23:42:00'): 1.2,\n", + " Timestamp('2023-01-01 23:48:00'): 1.9,\n", + " Timestamp('2023-01-01 23:54:00'): 2.3,\n", + " Timestamp('2023-01-02 00:00:00'): 3.5,\n", + " Timestamp('2023-01-02 00:06:00'): 3.7,\n", + " Timestamp('2023-01-02 00:12:00'): 2.9,\n", + " Timestamp('2023-01-02 00:18:00'): 2.8,\n", + " Timestamp('2023-01-02 00:24:00'): 3.3,\n", + " Timestamp('2023-01-02 00:30:00'): 2.7,\n", + " Timestamp('2023-01-02 00:36:00'): 2.9,\n", + " Timestamp('2023-01-02 00:42:00'): 2.1,\n", + " Timestamp('2023-01-02 00:48:00'): 1.6,\n", + " Timestamp('2023-01-02 00:54:00'): 1.6,\n", + " Timestamp('2023-01-02 01:00:00'): 1.8,\n", + " Timestamp('2023-01-02 01:06:00'): 2.1,\n", + " Timestamp('2023-01-02 01:12:00'): 2.4,\n", + " Timestamp('2023-01-02 01:18:00'): 2.1,\n", + " Timestamp('2023-01-02 01:24:00'): 2.2,\n", + " Timestamp('2023-01-02 01:30:00'): 2.2,\n", + " Timestamp('2023-01-02 01:36:00'): 1.4,\n", + " Timestamp('2023-01-02 01:42:00'): 1.6,\n", + " Timestamp('2023-01-02 01:48:00'): 1.5,\n", + " Timestamp('2023-01-02 01:54:00'): 1.5,\n", + " Timestamp('2023-01-02 02:00:00'): 1.5,\n", + " Timestamp('2023-01-02 02:06:00'): 0.9,\n", + " Timestamp('2023-01-02 02:12:00'): 0.6,\n", + " Timestamp('2023-01-02 02:18:00'): 1.4,\n", + " Timestamp('2023-01-02 02:24:00'): 2.0,\n", + " Timestamp('2023-01-02 02:30:00'): 1.3,\n", + " Timestamp('2023-01-02 02:36:00'): 1.6,\n", + " Timestamp('2023-01-02 02:42:00'): 1.6,\n", + " Timestamp('2023-01-02 02:48:00'): 2.7,\n", + " Timestamp('2023-01-02 02:54:00'): 2.7,\n", + " Timestamp('2023-01-02 03:00:00'): 2.8,\n", + " Timestamp('2023-01-02 03:06:00'): 2.2,\n", + " Timestamp('2023-01-02 03:12:00'): 3.3,\n", + " Timestamp('2023-01-02 03:18:00'): 3.1,\n", + " Timestamp('2023-01-02 03:24:00'): 2.7,\n", + " Timestamp('2023-01-02 03:30:00'): 2.7,\n", + " Timestamp('2023-01-02 03:36:00'): 2.4,\n", + " Timestamp('2023-01-02 03:42:00'): 1.9,\n", + " Timestamp('2023-01-02 03:48:00'): 1.8,\n", + " Timestamp('2023-01-02 03:54:00'): 1.6,\n", + " Timestamp('2023-01-02 04:00:00'): 1.3,\n", + " Timestamp('2023-01-02 04:06:00'): 1.4,\n", + " Timestamp('2023-01-02 04:12:00'): 1.1,\n", + " Timestamp('2023-01-02 04:18:00'): 1.5,\n", + " Timestamp('2023-01-02 04:24:00'): 1.3,\n", + " Timestamp('2023-01-02 04:30:00'): 0.8,\n", + " Timestamp('2023-01-02 04:36:00'): 1.3,\n", + " 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Timestamp('2023-01-02 17:18:00'): 3.3,\n", + " Timestamp('2023-01-02 17:24:00'): 3.4,\n", + " Timestamp('2023-01-02 17:30:00'): 3.3,\n", + " Timestamp('2023-01-02 17:36:00'): 2.9,\n", + " Timestamp('2023-01-02 17:42:00'): 3.8,\n", + " Timestamp('2023-01-02 17:48:00'): 3.8,\n", + " Timestamp('2023-01-02 17:54:00'): 3.4,\n", + " Timestamp('2023-01-02 18:00:00'): 3.0,\n", + " Timestamp('2023-01-02 18:06:00'): 2.8,\n", + " Timestamp('2023-01-02 18:12:00'): 2.2,\n", + " Timestamp('2023-01-02 18:18:00'): 2.4,\n", + " Timestamp('2023-01-02 18:24:00'): 3.0,\n", + " Timestamp('2023-01-02 18:30:00'): 2.7,\n", + " Timestamp('2023-01-02 18:36:00'): 2.8,\n", + " Timestamp('2023-01-02 18:42:00'): 2.2,\n", + " Timestamp('2023-01-02 18:48:00'): 2.4,\n", + " Timestamp('2023-01-02 18:54:00'): 2.3,\n", + " Timestamp('2023-01-02 19:00:00'): 2.6,\n", + " Timestamp('2023-01-02 19:06:00'): 1.9,\n", + " Timestamp('2023-01-02 19:12:00'): 2.4,\n", + " Timestamp('2023-01-02 19:18:00'): 2.0,\n", + " 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Timestamp('2023-01-03 01:42:00'): 2.4,\n", + " Timestamp('2023-01-03 01:48:00'): 2.5,\n", + " Timestamp('2023-01-03 01:54:00'): 3.3,\n", + " Timestamp('2023-01-03 02:00:00'): 3.3,\n", + " Timestamp('2023-01-03 02:06:00'): 3.0,\n", + " Timestamp('2023-01-03 02:12:00'): 2.9,\n", + " Timestamp('2023-01-03 02:18:00'): 3.4,\n", + " Timestamp('2023-01-03 02:24:00'): 4.0,\n", + " Timestamp('2023-01-03 02:30:00'): 4.1,\n", + " Timestamp('2023-01-03 02:36:00'): 3.8,\n", + " Timestamp('2023-01-03 02:42:00'): 3.7,\n", + " Timestamp('2023-01-03 02:48:00'): 4.0,\n", + " Timestamp('2023-01-03 02:54:00'): 3.5,\n", + " Timestamp('2023-01-03 03:00:00'): 4.0,\n", + " Timestamp('2023-01-03 03:06:00'): 4.3,\n", + " Timestamp('2023-01-03 03:12:00'): 4.4,\n", + " Timestamp('2023-01-03 03:18:00'): 5.5,\n", + " Timestamp('2023-01-03 03:24:00'): 5.6,\n", + " Timestamp('2023-01-03 03:30:00'): 4.0,\n", + " Timestamp('2023-01-03 03:36:00'): 4.5,\n", + " Timestamp('2023-01-03 03:42:00'): 4.7,\n", + " Timestamp('2023-01-03 03:48:00'): 3.9,\n", + " Timestamp('2023-01-03 03:54:00'): 3.7,\n", + " Timestamp('2023-01-03 04:00:00'): 3.8,\n", + " Timestamp('2023-01-03 04:06:00'): 3.1,\n", + " Timestamp('2023-01-03 04:12:00'): 3.1,\n", + " Timestamp('2023-01-03 04:18:00'): 3.0,\n", + " Timestamp('2023-01-03 04:24:00'): 2.9,\n", + " Timestamp('2023-01-03 04:30:00'): 2.8,\n", + " Timestamp('2023-01-03 04:36:00'): 3.1,\n", + " Timestamp('2023-01-03 04:42:00'): 2.5,\n", + " Timestamp('2023-01-03 04:48:00'): 2.5,\n", + " Timestamp('2023-01-03 04:54:00'): 2.8,\n", + " Timestamp('2023-01-03 05:00:00'): 2.7,\n", + " Timestamp('2023-01-03 05:06:00'): 2.9,\n", + " Timestamp('2023-01-03 05:12:00'): 2.7,\n", + " Timestamp('2023-01-03 05:18:00'): 2.7,\n", + " Timestamp('2023-01-03 05:24:00'): 2.6,\n", + " Timestamp('2023-01-03 05:30:00'): 2.4,\n", + " Timestamp('2023-01-03 05:36:00'): 1.9,\n", + " Timestamp('2023-01-03 05:42:00'): 2.0,\n", + " Timestamp('2023-01-03 05:48:00'): 1.8,\n", + " Timestamp('2023-01-03 05:54:00'): 2.0,\n", + " Timestamp('2023-01-03 06:00:00'): 2.2,\n", + " Timestamp('2023-01-03 06:06:00'): 2.3,\n", + " Timestamp('2023-01-03 06:12:00'): 2.1,\n", + " Timestamp('2023-01-03 06:18:00'): 1.4,\n", + " Timestamp('2023-01-03 06:24:00'): 1.2,\n", + " Timestamp('2023-01-03 06:30:00'): 2.2,\n", + " Timestamp('2023-01-03 06:36:00'): 1.8,\n", + " Timestamp('2023-01-03 06:42:00'): 2.3,\n", + " Timestamp('2023-01-03 06:48:00'): 3.1,\n", + " Timestamp('2023-01-03 06:54:00'): 3.0,\n", + " Timestamp('2023-01-03 07:00:00'): 3.2,\n", + " Timestamp('2023-01-03 07:06:00'): 3.7,\n", + " Timestamp('2023-01-03 07:12:00'): 2.9,\n", + " Timestamp('2023-01-03 07:18:00'): 2.4,\n", + " Timestamp('2023-01-03 07:24:00'): 2.7,\n", + " Timestamp('2023-01-03 07:30:00'): 2.9,\n", + " Timestamp('2023-01-03 07:36:00'): 2.4,\n", + " Timestamp('2023-01-03 07:42:00'): 2.4,\n", + " Timestamp('2023-01-03 07:48:00'): 2.5,\n", + " Timestamp('2023-01-03 07:54:00'): 1.7,\n", + " 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Timestamp('2023-01-03 16:24:00'): 3.5,\n", + " Timestamp('2023-01-03 16:30:00'): 4.1,\n", + " Timestamp('2023-01-03 16:36:00'): 2.7,\n", + " Timestamp('2023-01-03 16:42:00'): 2.2,\n", + " Timestamp('2023-01-03 16:48:00'): 2.7,\n", + " Timestamp('2023-01-03 16:54:00'): 2.8,\n", + " Timestamp('2023-01-03 17:00:00'): 2.9,\n", + " Timestamp('2023-01-03 17:06:00'): 2.9,\n", + " Timestamp('2023-01-03 17:12:00'): 2.7,\n", + " Timestamp('2023-01-03 17:18:00'): 2.4,\n", + " Timestamp('2023-01-03 17:24:00'): 2.2,\n", + " Timestamp('2023-01-03 17:30:00'): 2.4,\n", + " Timestamp('2023-01-03 17:36:00'): 2.4,\n", + " Timestamp('2023-01-03 17:42:00'): 2.8,\n", + " Timestamp('2023-01-03 17:48:00'): 2.6,\n", + " Timestamp('2023-01-03 17:54:00'): 3.3,\n", + " Timestamp('2023-01-03 18:00:00'): 2.8,\n", + " Timestamp('2023-01-03 18:06:00'): 2.6,\n", + " Timestamp('2023-01-03 18:12:00'): 3.1,\n", + " Timestamp('2023-01-03 18:18:00'): 4.4,\n", + " Timestamp('2023-01-03 18:24:00'): 5.2,\n", + " 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Timestamp('2023-01-03 20:36:00'): 5.1,\n", + " Timestamp('2023-01-03 20:42:00'): 3.3,\n", + " Timestamp('2023-01-03 20:48:00'): 3.1,\n", + " Timestamp('2023-01-03 20:54:00'): 4.5,\n", + " Timestamp('2023-01-03 21:00:00'): 4.8,\n", + " Timestamp('2023-01-03 21:06:00'): 3.7,\n", + " Timestamp('2023-01-03 21:12:00'): 4.2,\n", + " Timestamp('2023-01-03 21:18:00'): 3.9,\n", + " Timestamp('2023-01-03 21:24:00'): 3.9,\n", + " Timestamp('2023-01-03 21:30:00'): 4.6,\n", + " Timestamp('2023-01-03 21:36:00'): 4.8,\n", + " Timestamp('2023-01-03 21:42:00'): 4.0,\n", + " Timestamp('2023-01-03 21:48:00'): 3.4,\n", + " Timestamp('2023-01-03 21:54:00'): 4.4,\n", + " Timestamp('2023-01-03 22:00:00'): 4.2,\n", + " Timestamp('2023-01-03 22:06:00'): 3.7,\n", + " Timestamp('2023-01-03 22:12:00'): 3.7,\n", + " Timestamp('2023-01-03 22:18:00'): 3.1,\n", + " Timestamp('2023-01-03 22:24:00'): 4.5,\n", + " Timestamp('2023-01-03 22:30:00'): 4.1,\n", + " Timestamp('2023-01-03 22:36:00'): 3.4,\n", + " Timestamp('2023-01-03 22:42:00'): 3.1,\n", + " Timestamp('2023-01-03 22:48:00'): 4.2,\n", + " Timestamp('2023-01-03 22:54:00'): 4.4,\n", + " Timestamp('2023-01-03 23:00:00'): 4.3,\n", + " Timestamp('2023-01-03 23:06:00'): 3.6,\n", + " Timestamp('2023-01-03 23:12:00'): 3.1,\n", + " Timestamp('2023-01-03 23:18:00'): 3.0,\n", + " Timestamp('2023-01-03 23:24:00'): 4.0,\n", + " Timestamp('2023-01-03 23:30:00'): 3.4,\n", + " Timestamp('2023-01-03 23:36:00'): 3.8,\n", + " Timestamp('2023-01-03 23:42:00'): 4.0,\n", + " Timestamp('2023-01-03 23:48:00'): 4.6,\n", + " Timestamp('2023-01-03 23:54:00'): 4.0,\n", + " Timestamp('2023-01-04 00:00:00'): 4.2,\n", + " Timestamp('2023-01-04 00:06:00'): 3.2,\n", + " Timestamp('2023-01-04 00:12:00'): 2.7,\n", + " Timestamp('2023-01-04 00:18:00'): 3.2,\n", + " Timestamp('2023-01-04 00:24:00'): 2.2,\n", + " Timestamp('2023-01-04 00:30:00'): 2.1,\n", + " Timestamp('2023-01-04 00:36:00'): 2.5,\n", + " Timestamp('2023-01-04 00:42:00'): 3.4,\n", + " Timestamp('2023-01-04 00:48:00'): 4.2,\n", + " Timestamp('2023-01-04 00:54:00'): 4.3,\n", + " Timestamp('2023-01-04 01:00:00'): 3.7,\n", + " Timestamp('2023-01-04 01:06:00'): 2.5,\n", + " Timestamp('2023-01-04 01:12:00'): 2.4,\n", + " Timestamp('2023-01-04 01:18:00'): 2.6,\n", + " Timestamp('2023-01-04 01:24:00'): 3.0,\n", + " Timestamp('2023-01-04 01:30:00'): 2.5,\n", + " Timestamp('2023-01-04 01:36:00'): 3.0,\n", + " Timestamp('2023-01-04 01:42:00'): 3.0,\n", + " Timestamp('2023-01-04 01:48:00'): 3.7,\n", + " Timestamp('2023-01-04 01:54:00'): 3.1,\n", + " Timestamp('2023-01-04 02:00:00'): 2.9,\n", + " Timestamp('2023-01-04 02:06:00'): 3.3,\n", + " Timestamp('2023-01-04 02:12:00'): 2.9,\n", + " Timestamp('2023-01-04 02:18:00'): 3.2,\n", + " Timestamp('2023-01-04 02:24:00'): 3.1,\n", + " Timestamp('2023-01-04 02:30:00'): 3.8,\n", + " Timestamp('2023-01-04 02:36:00'): 3.2,\n", + " Timestamp('2023-01-04 02:42:00'): 3.7,\n", + " Timestamp('2023-01-04 02:48:00'): 3.3,\n", + " Timestamp('2023-01-04 02:54:00'): 3.5,\n", + " Timestamp('2023-01-04 03:00:00'): 3.1,\n", + " Timestamp('2023-01-04 03:06:00'): 3.9,\n", + " Timestamp('2023-01-04 03:12:00'): 3.6,\n", + " Timestamp('2023-01-04 03:18:00'): 3.9,\n", + " Timestamp('2023-01-04 03:24:00'): 4.1,\n", + " Timestamp('2023-01-04 03:30:00'): 4.7,\n", + " Timestamp('2023-01-04 03:36:00'): 4.6,\n", + " Timestamp('2023-01-04 03:42:00'): 4.3,\n", + " Timestamp('2023-01-04 03:48:00'): 2.5,\n", + " Timestamp('2023-01-04 03:54:00'): 3.4,\n", + " Timestamp('2023-01-04 04:00:00'): 4.6,\n", + " Timestamp('2023-01-04 04:06:00'): 6.0,\n", + " Timestamp('2023-01-04 04:12:00'): 5.1,\n", + " Timestamp('2023-01-04 04:18:00'): 6.5,\n", + " Timestamp('2023-01-04 04:24:00'): 6.1,\n", + " Timestamp('2023-01-04 04:30:00'): 5.9,\n", + " Timestamp('2023-01-04 04:36:00'): 6.1,\n", + " Timestamp('2023-01-04 04:42:00'): 5.8,\n", + " Timestamp('2023-01-04 04:48:00'): 4.2,\n", + " Timestamp('2023-01-04 04:54:00'): 5.7,\n", + " 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Timestamp('2023-01-04 14:12:00'): nan,\n", + " Timestamp('2023-01-04 14:18:00'): nan,\n", + " Timestamp('2023-01-04 14:24:00'): nan,\n", + " Timestamp('2023-01-04 14:30:00'): nan,\n", + " Timestamp('2023-01-04 14:36:00'): nan,\n", + " Timestamp('2023-01-04 14:42:00'): nan,\n", + " Timestamp('2023-01-04 14:48:00'): nan,\n", + " Timestamp('2023-01-04 14:54:00'): nan,\n", + " Timestamp('2023-01-04 15:00:00'): nan,\n", + " Timestamp('2023-01-04 15:06:00'): nan,\n", + " Timestamp('2023-01-04 15:12:00'): nan,\n", + " Timestamp('2023-01-04 15:18:00'): nan,\n", + " Timestamp('2023-01-04 15:24:00'): nan,\n", + " Timestamp('2023-01-04 15:30:00'): nan,\n", + " Timestamp('2023-01-04 15:36:00'): nan,\n", + " Timestamp('2023-01-04 15:42:00'): nan,\n", + " Timestamp('2023-01-04 15:48:00'): nan,\n", + " Timestamp('2023-01-04 15:54:00'): nan,\n", + " Timestamp('2023-01-04 16:00:00'): nan,\n", + " Timestamp('2023-01-04 16:06:00'): nan,\n", + " Timestamp('2023-01-04 16:12:00'): nan,\n", + " Timestamp('2023-01-04 16:18:00'): nan,\n", + " Timestamp('2023-01-04 16:24:00'): nan,\n", + " Timestamp('2023-01-04 16:30:00'): nan,\n", + " Timestamp('2023-01-04 16:36:00'): nan,\n", + " Timestamp('2023-01-04 16:42:00'): nan,\n", + " Timestamp('2023-01-04 16:48:00'): nan,\n", + " Timestamp('2023-01-04 16:54:00'): nan,\n", + " Timestamp('2023-01-04 17:00:00'): nan,\n", + " Timestamp('2023-01-04 17:06:00'): nan,\n", + " Timestamp('2023-01-04 17:12:00'): nan,\n", + " Timestamp('2023-01-04 17:18:00'): nan,\n", + " Timestamp('2023-01-04 17:24:00'): nan,\n", + " Timestamp('2023-01-04 17:30:00'): nan,\n", + " Timestamp('2023-01-04 17:36:00'): nan,\n", + " Timestamp('2023-01-04 17:42:00'): nan,\n", + " Timestamp('2023-01-04 17:48:00'): nan,\n", + " Timestamp('2023-01-04 17:54:00'): nan,\n", + " Timestamp('2023-01-04 18:00:00'): nan,\n", + " Timestamp('2023-01-04 18:06:00'): nan,\n", + " Timestamp('2023-01-04 18:12:00'): nan,\n", + " Timestamp('2023-01-04 18:18:00'): nan,\n", + " Timestamp('2023-01-04 18:24:00'): nan,\n", + " Timestamp('2023-01-04 18:30:00'): nan,\n", + " Timestamp('2023-01-04 18:36:00'): nan,\n", + " Timestamp('2023-01-04 18:42:00'): nan,\n", + " Timestamp('2023-01-04 18:48:00'): nan,\n", + " Timestamp('2023-01-04 18:54:00'): nan,\n", + " Timestamp('2023-01-04 19:00:00'): nan,\n", + " Timestamp('2023-01-04 19:06:00'): nan,\n", + " Timestamp('2023-01-04 19:12:00'): nan,\n", + " Timestamp('2023-01-04 19:18:00'): nan,\n", + " Timestamp('2023-01-04 19:24:00'): nan,\n", + " Timestamp('2023-01-04 19:30:00'): nan,\n", + " Timestamp('2023-01-04 19:36:00'): nan,\n", + " Timestamp('2023-01-04 19:42:00'): nan,\n", + " Timestamp('2023-01-04 19:48:00'): nan,\n", + " Timestamp('2023-01-04 19:54:00'): nan,\n", + " Timestamp('2023-01-04 20:00:00'): nan,\n", + " Timestamp('2023-01-04 20:06:00'): nan,\n", + " Timestamp('2023-01-04 20:12:00'): nan,\n", + " Timestamp('2023-01-04 20:18:00'): nan,\n", + " Timestamp('2023-01-04 20:24:00'): nan,\n", + " Timestamp('2023-01-04 20:30:00'): nan,\n", + " Timestamp('2023-01-04 20:36:00'): nan,\n", + " Timestamp('2023-01-04 20:42:00'): nan,\n", + " Timestamp('2023-01-04 20:48:00'): nan,\n", + " Timestamp('2023-01-04 20:54:00'): nan,\n", + " Timestamp('2023-01-04 21:00:00'): nan,\n", + " Timestamp('2023-01-04 21:06:00'): nan,\n", + " Timestamp('2023-01-04 21:12:00'): nan,\n", + " Timestamp('2023-01-04 21:18:00'): nan,\n", + " Timestamp('2023-01-04 21:24:00'): nan,\n", + " Timestamp('2023-01-04 21:30:00'): nan,\n", + " Timestamp('2023-01-04 21:36:00'): nan,\n", + " Timestamp('2023-01-04 21:42:00'): nan,\n", + " Timestamp('2023-01-04 21:48:00'): nan,\n", + " Timestamp('2023-01-04 21:54:00'): nan,\n", + " Timestamp('2023-01-04 22:00:00'): nan,\n", + " Timestamp('2023-01-04 22:06:00'): nan,\n", + " Timestamp('2023-01-04 22:12:00'): nan,\n", + " Timestamp('2023-01-04 22:18:00'): nan,\n", + " Timestamp('2023-01-04 22:24:00'): nan,\n", + " Timestamp('2023-01-04 22:30:00'): nan,\n", + " Timestamp('2023-01-04 22:36:00'): nan,\n", + " Timestamp('2023-01-04 22:42:00'): nan,\n", + " Timestamp('2023-01-04 22:48:00'): nan,\n", + " Timestamp('2023-01-04 22:54:00'): nan,\n", + " Timestamp('2023-01-04 23:00:00'): nan,\n", + " Timestamp('2023-01-04 23:06:00'): nan,\n", + " Timestamp('2023-01-04 23:12:00'): nan,\n", + " Timestamp('2023-01-04 23:18:00'): nan,\n", + " Timestamp('2023-01-04 23:24:00'): nan,\n", + " Timestamp('2023-01-04 23:30:00'): nan,\n", + " Timestamp('2023-01-04 23:36:00'): nan,\n", + " Timestamp('2023-01-04 23:42:00'): nan,\n", + " Timestamp('2023-01-04 23:48:00'): nan,\n", + " Timestamp('2023-01-04 23:54:00'): nan,\n", + " Timestamp('2023-01-05 00:00:00'): nan,\n", + " Timestamp('2023-01-05 00:06:00'): nan,\n", + " Timestamp('2023-01-05 00:12:00'): nan,\n", + " Timestamp('2023-01-05 00:18:00'): nan,\n", + " Timestamp('2023-01-05 00:24:00'): nan,\n", + " Timestamp('2023-01-05 00:30:00'): nan,\n", + " Timestamp('2023-01-05 00:36:00'): nan,\n", + " Timestamp('2023-01-05 00:42:00'): nan,\n", + " Timestamp('2023-01-05 00:48:00'): nan,\n", + " Timestamp('2023-01-05 00:54:00'): nan,\n", + " Timestamp('2023-01-05 01:00:00'): nan,\n", + " Timestamp('2023-01-05 01:06:00'): nan,\n", + " Timestamp('2023-01-05 01:12:00'): nan,\n", + " Timestamp('2023-01-05 01:18:00'): nan,\n", + " Timestamp('2023-01-05 01:24:00'): nan,\n", + " Timestamp('2023-01-05 01:30:00'): nan,\n", + " Timestamp('2023-01-05 01:36:00'): nan,\n", + " Timestamp('2023-01-05 01:42:00'): nan,\n", + " Timestamp('2023-01-05 01:48:00'): nan,\n", + " Timestamp('2023-01-05 01:54:00'): nan,\n", + " Timestamp('2023-01-05 02:00:00'): nan,\n", + " Timestamp('2023-01-05 02:06:00'): nan,\n", + " Timestamp('2023-01-05 02:12:00'): nan,\n", + " Timestamp('2023-01-05 02:18:00'): nan,\n", + " Timestamp('2023-01-05 02:24:00'): nan,\n", + " Timestamp('2023-01-05 02:30:00'): nan,\n", + " Timestamp('2023-01-05 02:36:00'): nan,\n", + " Timestamp('2023-01-05 02:42:00'): nan,\n", + " 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Timestamp('2023-01-04 15:00:00'): nan,\n", + " Timestamp('2023-01-04 15:06:00'): nan,\n", + " Timestamp('2023-01-04 15:12:00'): nan,\n", + " Timestamp('2023-01-04 15:18:00'): nan,\n", + " Timestamp('2023-01-04 15:24:00'): nan,\n", + " Timestamp('2023-01-04 15:30:00'): nan,\n", + " Timestamp('2023-01-04 15:36:00'): nan,\n", + " Timestamp('2023-01-04 15:42:00'): nan,\n", + " Timestamp('2023-01-04 15:48:00'): nan,\n", + " Timestamp('2023-01-04 15:54:00'): nan,\n", + " Timestamp('2023-01-04 16:00:00'): nan,\n", + " Timestamp('2023-01-04 16:06:00'): nan,\n", + " Timestamp('2023-01-04 16:12:00'): nan,\n", + " Timestamp('2023-01-04 16:18:00'): nan,\n", + " Timestamp('2023-01-04 16:24:00'): nan,\n", + " Timestamp('2023-01-04 16:30:00'): nan,\n", + " Timestamp('2023-01-04 16:36:00'): nan,\n", + " Timestamp('2023-01-04 16:42:00'): nan,\n", + " Timestamp('2023-01-04 16:48:00'): nan,\n", + " Timestamp('2023-01-04 16:54:00'): nan,\n", + " Timestamp('2023-01-04 17:00:00'): nan,\n", + " Timestamp('2023-01-04 17:06:00'): nan,\n", + " Timestamp('2023-01-04 17:12:00'): nan,\n", + " Timestamp('2023-01-04 17:18:00'): nan,\n", + " Timestamp('2023-01-04 17:24:00'): nan,\n", + " Timestamp('2023-01-04 17:30:00'): nan,\n", + " Timestamp('2023-01-04 17:36:00'): nan,\n", + " Timestamp('2023-01-04 17:42:00'): nan,\n", + " Timestamp('2023-01-04 17:48:00'): nan,\n", + " Timestamp('2023-01-04 17:54:00'): nan,\n", + " Timestamp('2023-01-04 18:00:00'): nan,\n", + " Timestamp('2023-01-04 18:06:00'): nan,\n", + " Timestamp('2023-01-04 18:12:00'): nan,\n", + " Timestamp('2023-01-04 18:18:00'): nan,\n", + " Timestamp('2023-01-04 18:24:00'): nan,\n", + " Timestamp('2023-01-04 18:30:00'): nan,\n", + " Timestamp('2023-01-04 18:36:00'): nan,\n", + " Timestamp('2023-01-04 18:42:00'): nan,\n", + " Timestamp('2023-01-04 18:48:00'): nan,\n", + " Timestamp('2023-01-04 18:54:00'): nan,\n", + " Timestamp('2023-01-04 19:00:00'): nan,\n", + " Timestamp('2023-01-04 19:06:00'): nan,\n", + " Timestamp('2023-01-04 19:12:00'): nan,\n", + " Timestamp('2023-01-04 19:18:00'): nan,\n", + " Timestamp('2023-01-04 19:24:00'): nan,\n", + " Timestamp('2023-01-04 19:30:00'): nan,\n", + " Timestamp('2023-01-04 19:36:00'): nan,\n", + " Timestamp('2023-01-04 19:42:00'): nan,\n", + " Timestamp('2023-01-04 19:48:00'): nan,\n", + " Timestamp('2023-01-04 19:54:00'): nan,\n", + " Timestamp('2023-01-04 20:00:00'): nan,\n", + " Timestamp('2023-01-04 20:06:00'): nan,\n", + " Timestamp('2023-01-04 20:12:00'): nan,\n", + " Timestamp('2023-01-04 20:18:00'): nan,\n", + " Timestamp('2023-01-04 20:24:00'): nan,\n", + " Timestamp('2023-01-04 20:30:00'): nan,\n", + " Timestamp('2023-01-04 20:36:00'): nan,\n", + " Timestamp('2023-01-04 20:42:00'): nan,\n", + " Timestamp('2023-01-04 20:48:00'): nan,\n", + " Timestamp('2023-01-04 20:54:00'): nan,\n", + " Timestamp('2023-01-04 21:00:00'): nan,\n", + " Timestamp('2023-01-04 21:06:00'): nan,\n", + " Timestamp('2023-01-04 21:12:00'): nan,\n", + " Timestamp('2023-01-04 21:18:00'): nan,\n", + " Timestamp('2023-01-04 21:24:00'): nan,\n", + " Timestamp('2023-01-04 21:30:00'): nan,\n", + " Timestamp('2023-01-04 21:36:00'): nan,\n", + " Timestamp('2023-01-04 21:42:00'): nan,\n", + " Timestamp('2023-01-04 21:48:00'): nan,\n", + " Timestamp('2023-01-04 21:54:00'): nan,\n", + " Timestamp('2023-01-04 22:00:00'): nan,\n", + " Timestamp('2023-01-04 22:06:00'): nan,\n", + " Timestamp('2023-01-04 22:12:00'): nan,\n", + " Timestamp('2023-01-04 22:18:00'): nan,\n", + " Timestamp('2023-01-04 22:24:00'): nan,\n", + " Timestamp('2023-01-04 22:30:00'): nan,\n", + " Timestamp('2023-01-04 22:36:00'): nan,\n", + " Timestamp('2023-01-04 22:42:00'): nan,\n", + " Timestamp('2023-01-04 22:48:00'): nan,\n", + " Timestamp('2023-01-04 22:54:00'): nan,\n", + " Timestamp('2023-01-04 23:00:00'): nan,\n", + " Timestamp('2023-01-04 23:06:00'): nan,\n", + " Timestamp('2023-01-04 23:12:00'): nan,\n", + " Timestamp('2023-01-04 23:18:00'): nan,\n", + " Timestamp('2023-01-04 23:24:00'): nan,\n", + " Timestamp('2023-01-04 23:30:00'): nan,\n", + " Timestamp('2023-01-04 23:36:00'): nan,\n", + " Timestamp('2023-01-04 23:42:00'): nan,\n", + " Timestamp('2023-01-04 23:48:00'): nan,\n", + " Timestamp('2023-01-04 23:54:00'): nan,\n", + " Timestamp('2023-01-05 00:00:00'): nan,\n", + " Timestamp('2023-01-05 00:06:00'): nan,\n", + " Timestamp('2023-01-05 00:12:00'): nan,\n", + " Timestamp('2023-01-05 00:18:00'): nan,\n", + " Timestamp('2023-01-05 00:24:00'): nan,\n", + " Timestamp('2023-01-05 00:30:00'): nan,\n", + " Timestamp('2023-01-05 00:36:00'): nan,\n", + " Timestamp('2023-01-05 00:42:00'): nan,\n", + " Timestamp('2023-01-05 00:48:00'): nan,\n", + " Timestamp('2023-01-05 00:54:00'): nan,\n", + " Timestamp('2023-01-05 01:00:00'): nan,\n", + " Timestamp('2023-01-05 01:06:00'): nan,\n", + " Timestamp('2023-01-05 01:12:00'): nan,\n", + " Timestamp('2023-01-05 01:18:00'): nan,\n", + " Timestamp('2023-01-05 01:24:00'): nan,\n", + " Timestamp('2023-01-05 01:30:00'): nan,\n", + " Timestamp('2023-01-05 01:36:00'): nan,\n", + " Timestamp('2023-01-05 01:42:00'): nan,\n", + " Timestamp('2023-01-05 01:48:00'): nan,\n", + " Timestamp('2023-01-05 01:54:00'): nan,\n", + " Timestamp('2023-01-05 02:00:00'): nan,\n", + " Timestamp('2023-01-05 02:06:00'): nan,\n", + " Timestamp('2023-01-05 02:12:00'): nan,\n", + " Timestamp('2023-01-05 02:18:00'): nan,\n", + " Timestamp('2023-01-05 02:24:00'): nan,\n", + " Timestamp('2023-01-05 02:30:00'): nan,\n", + " Timestamp('2023-01-05 02:36:00'): nan,\n", + " Timestamp('2023-01-05 02:42:00'): nan,\n", + " Timestamp('2023-01-05 02:48:00'): nan,\n", + " Timestamp('2023-01-05 02:54:00'): nan,\n", + " Timestamp('2023-01-05 03:00:00'): nan,\n", + " Timestamp('2023-01-05 03:06:00'): nan,\n", + " Timestamp('2023-01-05 03:12:00'): nan,\n", + " Timestamp('2023-01-05 03:18:00'): nan,\n", + " Timestamp('2023-01-05 03:24:00'): nan,\n", + " Timestamp('2023-01-05 03:30:00'): nan,\n", + " Timestamp('2023-01-05 03:36:00'): nan,\n", + " Timestamp('2023-01-05 03:42:00'): nan,\n", + " Timestamp('2023-01-05 03:48:00'): nan,\n", + " Timestamp('2023-01-05 03:54:00'): nan,\n", + " Timestamp('2023-01-05 04:00:00'): nan,\n", + " Timestamp('2023-01-05 04:06:00'): nan,\n", + " ...},\n", + " 'APD': {Timestamp('2023-01-01 00:00:00'): nan,\n", + " Timestamp('2023-01-01 00:06:00'): nan,\n", + " Timestamp('2023-01-01 00:12:00'): nan,\n", + " Timestamp('2023-01-01 00:18:00'): nan,\n", + " Timestamp('2023-01-01 00:24:00'): nan,\n", + " Timestamp('2023-01-01 00:30:00'): nan,\n", + " Timestamp('2023-01-01 00:36:00'): nan,\n", + " Timestamp('2023-01-01 00:42:00'): nan,\n", + " Timestamp('2023-01-01 01:00:00'): nan,\n", + " Timestamp('2023-01-01 01:06:00'): nan,\n", + " Timestamp('2023-01-01 01:12:00'): nan,\n", + " Timestamp('2023-01-01 01:18:00'): nan,\n", + " Timestamp('2023-01-01 01:24:00'): nan,\n", + " Timestamp('2023-01-01 01:30:00'): nan,\n", + " Timestamp('2023-01-01 01:36:00'): 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Timestamp('2023-01-04 16:36:00'): nan,\n", + " Timestamp('2023-01-04 16:42:00'): nan,\n", + " Timestamp('2023-01-04 16:48:00'): nan,\n", + " Timestamp('2023-01-04 16:54:00'): nan,\n", + " Timestamp('2023-01-04 17:00:00'): nan,\n", + " Timestamp('2023-01-04 17:06:00'): nan,\n", + " Timestamp('2023-01-04 17:12:00'): nan,\n", + " Timestamp('2023-01-04 17:18:00'): nan,\n", + " Timestamp('2023-01-04 17:24:00'): nan,\n", + " Timestamp('2023-01-04 17:30:00'): nan,\n", + " Timestamp('2023-01-04 17:36:00'): nan,\n", + " Timestamp('2023-01-04 17:42:00'): nan,\n", + " Timestamp('2023-01-04 17:48:00'): nan,\n", + " Timestamp('2023-01-04 17:54:00'): nan,\n", + " Timestamp('2023-01-04 18:00:00'): nan,\n", + " Timestamp('2023-01-04 18:06:00'): nan,\n", + " Timestamp('2023-01-04 18:12:00'): nan,\n", + " Timestamp('2023-01-04 18:18:00'): nan,\n", + " Timestamp('2023-01-04 18:24:00'): nan,\n", + " Timestamp('2023-01-04 18:30:00'): nan,\n", + " Timestamp('2023-01-04 18:36:00'): nan,\n", + " Timestamp('2023-01-04 18:42:00'): nan,\n", + " Timestamp('2023-01-04 18:48:00'): nan,\n", + " Timestamp('2023-01-04 18:54:00'): nan,\n", + " Timestamp('2023-01-04 19:00:00'): nan,\n", + " Timestamp('2023-01-04 19:06:00'): nan,\n", + " Timestamp('2023-01-04 19:12:00'): nan,\n", + " Timestamp('2023-01-04 19:18:00'): nan,\n", + " Timestamp('2023-01-04 19:24:00'): nan,\n", + " Timestamp('2023-01-04 19:30:00'): nan,\n", + " Timestamp('2023-01-04 19:36:00'): nan,\n", + " Timestamp('2023-01-04 19:42:00'): nan,\n", + " Timestamp('2023-01-04 19:48:00'): nan,\n", + " Timestamp('2023-01-04 19:54:00'): nan,\n", + " Timestamp('2023-01-04 20:00:00'): nan,\n", + " Timestamp('2023-01-04 20:06:00'): nan,\n", + " Timestamp('2023-01-04 20:12:00'): nan,\n", + " Timestamp('2023-01-04 20:18:00'): nan,\n", + " Timestamp('2023-01-04 20:24:00'): nan,\n", + " Timestamp('2023-01-04 20:30:00'): nan,\n", + " Timestamp('2023-01-04 20:36:00'): nan,\n", + " Timestamp('2023-01-04 20:42:00'): nan,\n", + " Timestamp('2023-01-04 20:48:00'): nan,\n", + " Timestamp('2023-01-04 20:54:00'): nan,\n", + " Timestamp('2023-01-04 21:00:00'): nan,\n", + " Timestamp('2023-01-04 21:06:00'): nan,\n", + " Timestamp('2023-01-04 21:12:00'): nan,\n", + " Timestamp('2023-01-04 21:18:00'): nan,\n", + " Timestamp('2023-01-04 21:24:00'): nan,\n", + " Timestamp('2023-01-04 21:30:00'): nan,\n", + " Timestamp('2023-01-04 21:36:00'): nan,\n", + " Timestamp('2023-01-04 21:42:00'): nan,\n", + " Timestamp('2023-01-04 21:48:00'): nan,\n", + " Timestamp('2023-01-04 21:54:00'): nan,\n", + " Timestamp('2023-01-04 22:00:00'): nan,\n", + " Timestamp('2023-01-04 22:06:00'): nan,\n", + " Timestamp('2023-01-04 22:12:00'): nan,\n", + " Timestamp('2023-01-04 22:18:00'): nan,\n", + " Timestamp('2023-01-04 22:24:00'): nan,\n", + " Timestamp('2023-01-04 22:30:00'): nan,\n", + " Timestamp('2023-01-04 22:36:00'): nan,\n", + " Timestamp('2023-01-04 22:42:00'): nan,\n", + " Timestamp('2023-01-04 22:48:00'): nan,\n", + " Timestamp('2023-01-04 22:54:00'): nan,\n", + " Timestamp('2023-01-04 23:00:00'): nan,\n", + " Timestamp('2023-01-04 23:06:00'): nan,\n", + " Timestamp('2023-01-04 23:12:00'): nan,\n", + " Timestamp('2023-01-04 23:18:00'): nan,\n", + " Timestamp('2023-01-04 23:24:00'): nan,\n", + " Timestamp('2023-01-04 23:30:00'): nan,\n", + " Timestamp('2023-01-04 23:36:00'): nan,\n", + " Timestamp('2023-01-04 23:42:00'): nan,\n", + " Timestamp('2023-01-04 23:48:00'): nan,\n", + " Timestamp('2023-01-04 23:54:00'): nan,\n", + " Timestamp('2023-01-05 00:00:00'): nan,\n", + " Timestamp('2023-01-05 00:06:00'): nan,\n", + " Timestamp('2023-01-05 00:12:00'): nan,\n", + " Timestamp('2023-01-05 00:18:00'): nan,\n", + " Timestamp('2023-01-05 00:24:00'): nan,\n", + " Timestamp('2023-01-05 00:30:00'): nan,\n", + " Timestamp('2023-01-05 00:36:00'): nan,\n", + " Timestamp('2023-01-05 00:42:00'): nan,\n", + " Timestamp('2023-01-05 00:48:00'): nan,\n", + " Timestamp('2023-01-05 00:54:00'): nan,\n", + " Timestamp('2023-01-05 01:00:00'): nan,\n", + " Timestamp('2023-01-05 01:06:00'): nan,\n", + " Timestamp('2023-01-05 01:12:00'): nan,\n", + " Timestamp('2023-01-05 01:18:00'): nan,\n", + " Timestamp('2023-01-05 01:24:00'): nan,\n", + " Timestamp('2023-01-05 01:30:00'): nan,\n", + " Timestamp('2023-01-05 01:36:00'): nan,\n", + " Timestamp('2023-01-05 01:42:00'): nan,\n", + " Timestamp('2023-01-05 01:48:00'): nan,\n", + " Timestamp('2023-01-05 01:54:00'): nan,\n", + " Timestamp('2023-01-05 02:00:00'): nan,\n", + " Timestamp('2023-01-05 02:06:00'): nan,\n", + " Timestamp('2023-01-05 02:12:00'): nan,\n", + " Timestamp('2023-01-05 02:18:00'): nan,\n", + " Timestamp('2023-01-05 02:24:00'): nan,\n", + " Timestamp('2023-01-05 02:30:00'): nan,\n", + " Timestamp('2023-01-05 02:36:00'): nan,\n", + " Timestamp('2023-01-05 02:42:00'): nan,\n", + " Timestamp('2023-01-05 02:48:00'): nan,\n", + " Timestamp('2023-01-05 02:54:00'): nan,\n", + " Timestamp('2023-01-05 03:00:00'): nan,\n", + " 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Timestamp('2023-01-01 11:06:00'): 1013.4,\n", + " Timestamp('2023-01-01 11:12:00'): 1013.6,\n", + " Timestamp('2023-01-01 11:18:00'): 1013.5,\n", + " Timestamp('2023-01-01 11:24:00'): 1013.6,\n", + " Timestamp('2023-01-01 11:30:00'): 1013.8,\n", + " Timestamp('2023-01-01 11:36:00'): 1013.8,\n", + " Timestamp('2023-01-01 11:42:00'): 1013.8,\n", + " Timestamp('2023-01-01 11:48:00'): 1013.9,\n", + " Timestamp('2023-01-01 11:54:00'): 1014.1,\n", + " Timestamp('2023-01-01 12:00:00'): 1014.2,\n", + " Timestamp('2023-01-01 12:06:00'): 1014.3,\n", + " Timestamp('2023-01-01 12:12:00'): 1014.4,\n", + " Timestamp('2023-01-01 12:18:00'): 1014.5,\n", + " Timestamp('2023-01-01 12:24:00'): 1014.7,\n", + " Timestamp('2023-01-01 12:30:00'): 1014.7,\n", + " Timestamp('2023-01-01 12:36:00'): 1014.7,\n", + " Timestamp('2023-01-01 12:42:00'): 1014.8,\n", + " Timestamp('2023-01-01 12:48:00'): 1014.9,\n", + " Timestamp('2023-01-01 12:54:00'): 1014.9,\n", + " Timestamp('2023-01-01 13:00:00'): 1015.0,\n", + " Timestamp('2023-01-01 13:06:00'): 1015.2,\n", + " Timestamp('2023-01-01 13:12:00'): 1015.4,\n", + " Timestamp('2023-01-01 13:18:00'): 1015.5,\n", + " Timestamp('2023-01-01 13:24:00'): 1015.6,\n", + " Timestamp('2023-01-01 13:30:00'): 1015.7,\n", + " Timestamp('2023-01-01 13:36:00'): 1015.8,\n", + " Timestamp('2023-01-01 13:42:00'): 1015.8,\n", + " Timestamp('2023-01-01 13:48:00'): 1015.7,\n", + " Timestamp('2023-01-01 13:54:00'): 1015.9,\n", + " Timestamp('2023-01-01 14:00:00'): 1015.9,\n", + " Timestamp('2023-01-01 14:06:00'): 1016.2,\n", + " Timestamp('2023-01-01 14:12:00'): 1016.1,\n", + " Timestamp('2023-01-01 14:18:00'): 1016.3,\n", + " Timestamp('2023-01-01 14:24:00'): 1016.4,\n", + " Timestamp('2023-01-01 14:30:00'): 1016.5,\n", + " Timestamp('2023-01-01 14:36:00'): 1016.6,\n", + " Timestamp('2023-01-01 14:42:00'): 1016.6,\n", + " Timestamp('2023-01-01 14:48:00'): 1016.6,\n", + " Timestamp('2023-01-01 14:54:00'): 1016.5,\n", + " Timestamp('2023-01-01 15:00:00'): 1016.6,\n", + " 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Timestamp('2023-01-04 07:06:00'): 1010.4,\n", + " Timestamp('2023-01-04 07:12:00'): 1010.5,\n", + " Timestamp('2023-01-04 07:18:00'): 1010.7,\n", + " Timestamp('2023-01-04 07:24:00'): 1010.8,\n", + " Timestamp('2023-01-04 07:30:00'): 1011.0,\n", + " Timestamp('2023-01-04 07:36:00'): 1011.1,\n", + " Timestamp('2023-01-04 07:42:00'): 1011.0,\n", + " Timestamp('2023-01-04 07:48:00'): 1011.1,\n", + " Timestamp('2023-01-04 07:54:00'): 1011.3,\n", + " Timestamp('2023-01-04 08:00:00'): 1011.2,\n", + " Timestamp('2023-01-04 08:06:00'): 1011.3,\n", + " Timestamp('2023-01-04 08:12:00'): 1011.3,\n", + " Timestamp('2023-01-04 08:18:00'): 1011.0,\n", + " Timestamp('2023-01-04 08:24:00'): 1011.3,\n", + " Timestamp('2023-01-04 08:30:00'): 1011.3,\n", + " Timestamp('2023-01-04 08:36:00'): 1011.1,\n", + " Timestamp('2023-01-04 08:42:00'): 1011.1,\n", + " Timestamp('2023-01-04 08:48:00'): 1010.9,\n", + " Timestamp('2023-01-04 08:54:00'): 1010.9,\n", + " Timestamp('2023-01-04 09:00:00'): 1011.0,\n", + " Timestamp('2023-01-04 09:06:00'): 1010.9,\n", + " Timestamp('2023-01-04 09:12:00'): 1010.8,\n", + " Timestamp('2023-01-04 09:18:00'): 1010.7,\n", + " Timestamp('2023-01-04 09:24:00'): 1010.8,\n", + " Timestamp('2023-01-04 09:30:00'): 1011.0,\n", + " Timestamp('2023-01-04 09:36:00'): 1011.2,\n", + " Timestamp('2023-01-04 09:42:00'): 1011.3,\n", + " Timestamp('2023-01-04 09:48:00'): 1011.3,\n", + " Timestamp('2023-01-04 09:54:00'): 1011.3,\n", + " Timestamp('2023-01-04 10:00:00'): 1011.4,\n", + " Timestamp('2023-01-04 10:06:00'): 1011.3,\n", + " Timestamp('2023-01-04 10:12:00'): 1011.2,\n", + " Timestamp('2023-01-04 10:18:00'): 1011.2,\n", + " Timestamp('2023-01-04 10:24:00'): 1011.2,\n", + " Timestamp('2023-01-04 10:30:00'): 1011.2,\n", + " Timestamp('2023-01-04 10:36:00'): 1011.3,\n", + " Timestamp('2023-01-04 10:42:00'): 1011.3,\n", + " Timestamp('2023-01-04 10:48:00'): 1011.3,\n", + " Timestamp('2023-01-04 10:54:00'): 1011.4,\n", + " Timestamp('2023-01-04 11:00:00'): 1011.4,\n", + " Timestamp('2023-01-04 11:06:00'): 1011.4,\n", + " Timestamp('2023-01-04 11:12:00'): 1011.4,\n", + " Timestamp('2023-01-04 11:18:00'): 1011.6,\n", + " Timestamp('2023-01-04 11:24:00'): 1011.7,\n", + " Timestamp('2023-01-04 11:30:00'): 1011.8,\n", + " Timestamp('2023-01-04 11:36:00'): 1011.8,\n", + " Timestamp('2023-01-04 11:42:00'): 1011.8,\n", + " Timestamp('2023-01-04 11:48:00'): 1011.8,\n", + " Timestamp('2023-01-04 11:54:00'): 1011.9,\n", + " Timestamp('2023-01-04 12:00:00'): 1011.9,\n", + " Timestamp('2023-01-04 12:06:00'): 1011.9,\n", + " Timestamp('2023-01-04 12:12:00'): 1012.0,\n", + " Timestamp('2023-01-04 12:18:00'): 1011.9,\n", + " Timestamp('2023-01-04 12:24:00'): 1012.1,\n", + " Timestamp('2023-01-04 12:30:00'): 1012.0,\n", + " Timestamp('2023-01-04 12:36:00'): 1012.0,\n", + " Timestamp('2023-01-04 12:42:00'): 1011.9,\n", + " Timestamp('2023-01-04 12:48:00'): 1012.0,\n", + " Timestamp('2023-01-04 12:54:00'): 1012.0,\n", + " Timestamp('2023-01-04 13:00:00'): 1012.0,\n", + " Timestamp('2023-01-04 13:06:00'): 1012.0,\n", + " Timestamp('2023-01-04 13:12:00'): 1012.0,\n", + " Timestamp('2023-01-04 13:18:00'): 1012.1,\n", + " Timestamp('2023-01-04 13:24:00'): 1012.0,\n", + " Timestamp('2023-01-04 13:30:00'): 1012.1,\n", + " Timestamp('2023-01-04 13:36:00'): 1012.1,\n", + " Timestamp('2023-01-04 13:42:00'): 1012.1,\n", + " Timestamp('2023-01-04 13:48:00'): 1012.2,\n", + " Timestamp('2023-01-04 13:54:00'): 1012.2,\n", + " Timestamp('2023-01-04 14:00:00'): 1012.2,\n", + " Timestamp('2023-01-04 14:06:00'): 1012.3,\n", + " Timestamp('2023-01-04 14:12:00'): 1012.3,\n", + " Timestamp('2023-01-04 14:18:00'): 1012.3,\n", + " Timestamp('2023-01-04 14:24:00'): 1012.4,\n", + " Timestamp('2023-01-04 14:30:00'): 1012.5,\n", + " Timestamp('2023-01-04 14:36:00'): 1012.6,\n", + " Timestamp('2023-01-04 14:42:00'): 1012.7,\n", + " Timestamp('2023-01-04 14:48:00'): 1012.8,\n", + " Timestamp('2023-01-04 14:54:00'): 1012.8,\n", + " Timestamp('2023-01-04 15:00:00'): 1012.8,\n", + " Timestamp('2023-01-04 15:06:00'): 1012.9,\n", + " Timestamp('2023-01-04 15:12:00'): 1012.9,\n", + " Timestamp('2023-01-04 15:18:00'): 1012.9,\n", + " Timestamp('2023-01-04 15:24:00'): 1012.9,\n", + " Timestamp('2023-01-04 15:30:00'): 1013.0,\n", + " Timestamp('2023-01-04 15:36:00'): 1012.8,\n", + " Timestamp('2023-01-04 15:42:00'): 1012.7,\n", + " Timestamp('2023-01-04 15:48:00'): 1012.6,\n", + " Timestamp('2023-01-04 15:54:00'): 1012.5,\n", + " Timestamp('2023-01-04 16:00:00'): 1012.3,\n", + " Timestamp('2023-01-04 16:06:00'): 1012.3,\n", + " Timestamp('2023-01-04 16:12:00'): 1012.2,\n", + " Timestamp('2023-01-04 16:18:00'): 1012.1,\n", + " Timestamp('2023-01-04 16:24:00'): 1012.1,\n", + " Timestamp('2023-01-04 16:30:00'): 1011.9,\n", + " Timestamp('2023-01-04 16:36:00'): 1011.7,\n", + " Timestamp('2023-01-04 16:42:00'): 1011.6,\n", + " Timestamp('2023-01-04 16:48:00'): 1011.3,\n", + " Timestamp('2023-01-04 16:54:00'): 1011.0,\n", + " Timestamp('2023-01-04 17:00:00'): 1010.9,\n", + " Timestamp('2023-01-04 17:06:00'): 1010.9,\n", + " Timestamp('2023-01-04 17:12:00'): 1010.8,\n", + " Timestamp('2023-01-04 17:18:00'): 1010.6,\n", + " Timestamp('2023-01-04 17:24:00'): 1010.6,\n", + " Timestamp('2023-01-04 17:30:00'): 1010.6,\n", + " Timestamp('2023-01-04 17:36:00'): 1010.5,\n", + " Timestamp('2023-01-04 17:42:00'): 1010.9,\n", + " Timestamp('2023-01-04 17:48:00'): 1010.9,\n", + " Timestamp('2023-01-04 17:54:00'): 1010.8,\n", + " Timestamp('2023-01-04 18:00:00'): 1010.3,\n", + " Timestamp('2023-01-04 18:06:00'): 1010.1,\n", + " Timestamp('2023-01-04 18:12:00'): 1009.8,\n", + " Timestamp('2023-01-04 18:18:00'): 1009.7,\n", + " Timestamp('2023-01-04 18:24:00'): 1009.7,\n", + " Timestamp('2023-01-04 18:30:00'): 1010.0,\n", + " Timestamp('2023-01-04 18:36:00'): 1009.8,\n", + " Timestamp('2023-01-04 18:42:00'): 1009.6,\n", + " Timestamp('2023-01-04 18:48:00'): 1009.6,\n", + " Timestamp('2023-01-04 18:54:00'): 1009.6,\n", + " Timestamp('2023-01-04 19:00:00'): 1009.7,\n", + " Timestamp('2023-01-04 19:06:00'): 1009.5,\n", + " Timestamp('2023-01-04 19:12:00'): 1009.4,\n", + " Timestamp('2023-01-04 19:18:00'): 1009.4,\n", + " Timestamp('2023-01-04 19:24:00'): 1009.2,\n", + " Timestamp('2023-01-04 19:30:00'): 1009.0,\n", + " Timestamp('2023-01-04 19:36:00'): 1009.1,\n", + " Timestamp('2023-01-04 19:42:00'): 1009.2,\n", + " Timestamp('2023-01-04 19:48:00'): 1009.2,\n", + " Timestamp('2023-01-04 19:54:00'): 1008.9,\n", + " Timestamp('2023-01-04 20:00:00'): 1008.7,\n", + " Timestamp('2023-01-04 20:06:00'): 1008.8,\n", + " Timestamp('2023-01-04 20:12:00'): 1008.4,\n", + " Timestamp('2023-01-04 20:18:00'): 1008.5,\n", + " Timestamp('2023-01-04 20:24:00'): 1008.4,\n", + " Timestamp('2023-01-04 20:30:00'): 1008.6,\n", + " Timestamp('2023-01-04 20:36:00'): 1008.4,\n", + " Timestamp('2023-01-04 20:42:00'): 1008.5,\n", + " Timestamp('2023-01-04 20:48:00'): 1008.3,\n", + " Timestamp('2023-01-04 20:54:00'): 1008.2,\n", + " Timestamp('2023-01-04 21:00:00'): 1008.2,\n", + " Timestamp('2023-01-04 21:06:00'): 1008.5,\n", + " Timestamp('2023-01-04 21:12:00'): 1008.8,\n", + " Timestamp('2023-01-04 21:18:00'): 1008.7,\n", + " Timestamp('2023-01-04 21:24:00'): 1008.8,\n", + " Timestamp('2023-01-04 21:30:00'): 1008.9,\n", + " Timestamp('2023-01-04 21:36:00'): 1009.0,\n", + " Timestamp('2023-01-04 21:42:00'): 1009.6,\n", + " Timestamp('2023-01-04 21:48:00'): 1009.8,\n", + " Timestamp('2023-01-04 21:54:00'): 1009.6,\n", + " Timestamp('2023-01-04 22:00:00'): 1009.2,\n", + " Timestamp('2023-01-04 22:06:00'): 1009.0,\n", + " Timestamp('2023-01-04 22:12:00'): 1008.9,\n", + " Timestamp('2023-01-04 22:18:00'): 1008.9,\n", + " Timestamp('2023-01-04 22:24:00'): 1008.7,\n", + " Timestamp('2023-01-04 22:30:00'): 1008.6,\n", + " Timestamp('2023-01-04 22:36:00'): 1008.5,\n", + " Timestamp('2023-01-04 22:42:00'): 1008.5,\n", + " Timestamp('2023-01-04 22:48:00'): 1008.7,\n", + " Timestamp('2023-01-04 22:54:00'): 1008.6,\n", + " Timestamp('2023-01-04 23:00:00'): 1008.6,\n", + " Timestamp('2023-01-04 23:06:00'): 1008.6,\n", + " Timestamp('2023-01-04 23:12:00'): 1008.7,\n", + " Timestamp('2023-01-04 23:18:00'): 1008.6,\n", + " Timestamp('2023-01-04 23:24:00'): 1008.4,\n", + " Timestamp('2023-01-04 23:30:00'): 1008.2,\n", + " Timestamp('2023-01-04 23:36:00'): 1008.0,\n", + " Timestamp('2023-01-04 23:42:00'): 1007.8,\n", + " Timestamp('2023-01-04 23:48:00'): 1007.7,\n", + " Timestamp('2023-01-04 23:54:00'): 1007.6,\n", + " Timestamp('2023-01-05 00:00:00'): 1007.6,\n", + " Timestamp('2023-01-05 00:06:00'): 1007.6,\n", + " Timestamp('2023-01-05 00:12:00'): 1007.6,\n", + " Timestamp('2023-01-05 00:18:00'): 1007.8,\n", + " Timestamp('2023-01-05 00:24:00'): 1007.8,\n", + " Timestamp('2023-01-05 00:30:00'): 1008.0,\n", + " Timestamp('2023-01-05 00:36:00'): 1008.1,\n", + " Timestamp('2023-01-05 00:42:00'): 1008.2,\n", + " Timestamp('2023-01-05 00:48:00'): 1008.3,\n", + " Timestamp('2023-01-05 00:54:00'): 1008.5,\n", + " Timestamp('2023-01-05 01:00:00'): 1008.7,\n", + " Timestamp('2023-01-05 01:06:00'): 1008.8,\n", + " Timestamp('2023-01-05 01:12:00'): 1008.7,\n", + " Timestamp('2023-01-05 01:18:00'): 1008.7,\n", + " Timestamp('2023-01-05 01:24:00'): 1008.6,\n", + " Timestamp('2023-01-05 01:30:00'): 1008.6,\n", + " Timestamp('2023-01-05 01:36:00'): 1008.6,\n", + " Timestamp('2023-01-05 01:42:00'): 1008.5,\n", + " Timestamp('2023-01-05 01:48:00'): 1008.4,\n", + " Timestamp('2023-01-05 01:54:00'): 1008.3,\n", + " Timestamp('2023-01-05 02:00:00'): 1008.4,\n", + " Timestamp('2023-01-05 02:06:00'): 1008.4,\n", + " Timestamp('2023-01-05 02:12:00'): 1008.4,\n", + " Timestamp('2023-01-05 02:18:00'): 1008.4,\n", + " Timestamp('2023-01-05 02:24:00'): 1008.4,\n", + " Timestamp('2023-01-05 02:30:00'): 1008.5,\n", + " Timestamp('2023-01-05 02:36:00'): 1008.7,\n", + " Timestamp('2023-01-05 02:42:00'): 1008.7,\n", + " Timestamp('2023-01-05 02:48:00'): 1008.9,\n", + " Timestamp('2023-01-05 02:54:00'): 1008.9,\n", + " Timestamp('2023-01-05 03:00:00'): 1009.0,\n", + " Timestamp('2023-01-05 03:06:00'): 1009.0,\n", + " Timestamp('2023-01-05 03:12:00'): 1009.0,\n", + " Timestamp('2023-01-05 03:18:00'): 1009.0,\n", + " Timestamp('2023-01-05 03:24:00'): 1009.1,\n", + " Timestamp('2023-01-05 03:30:00'): 1009.1,\n", + " Timestamp('2023-01-05 03:36:00'): 1009.1,\n", + " Timestamp('2023-01-05 03:42:00'): 1009.2,\n", + " Timestamp('2023-01-05 03:48:00'): 1009.2,\n", + " Timestamp('2023-01-05 03:54:00'): 1009.2,\n", + " Timestamp('2023-01-05 04:00:00'): 1009.3,\n", + " Timestamp('2023-01-05 04:06:00'): 1009.4,\n", + " ...},\n", + " 'ATMP': {Timestamp('2023-01-01 00:00:00'): 9.7,\n", + " Timestamp('2023-01-01 00:06:00'): 9.4,\n", + " Timestamp('2023-01-01 00:12:00'): 9.6,\n", + " Timestamp('2023-01-01 00:18:00'): 10.9,\n", + " Timestamp('2023-01-01 00:24:00'): 11.0,\n", + " Timestamp('2023-01-01 00:30:00'): 11.4,\n", + " Timestamp('2023-01-01 00:36:00'): 11.5,\n", + " Timestamp('2023-01-01 00:42:00'): 11.6,\n", + " Timestamp('2023-01-01 01:00:00'): 10.9,\n", + 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Timestamp('2023-01-01 03:12:00'): 8.7,\n", + " Timestamp('2023-01-01 03:18:00'): 8.5,\n", + " Timestamp('2023-01-01 03:24:00'): 9.1,\n", + " Timestamp('2023-01-01 03:30:00'): 9.0,\n", + " Timestamp('2023-01-01 03:36:00'): 7.5,\n", + " Timestamp('2023-01-01 03:42:00'): 8.1,\n", + " Timestamp('2023-01-01 03:48:00'): 8.3,\n", + " Timestamp('2023-01-01 03:54:00'): nan,\n", + " Timestamp('2023-01-01 04:00:00'): nan,\n", + " Timestamp('2023-01-01 04:06:00'): 8.7,\n", + " Timestamp('2023-01-01 04:12:00'): 8.9,\n", + " Timestamp('2023-01-01 04:18:00'): 9.4,\n", + " Timestamp('2023-01-01 04:24:00'): nan,\n", + " Timestamp('2023-01-01 04:30:00'): nan,\n", + " Timestamp('2023-01-01 04:36:00'): 10.9,\n", + " Timestamp('2023-01-01 04:42:00'): 10.5,\n", + " Timestamp('2023-01-01 04:48:00'): 10.0,\n", + " Timestamp('2023-01-01 04:54:00'): 10.2,\n", + " Timestamp('2023-01-01 05:00:00'): 11.9,\n", + " Timestamp('2023-01-01 05:06:00'): 12.8,\n", + " Timestamp('2023-01-01 05:12:00'): 12.9,\n", + " 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12.1,\n", + " Timestamp('2023-01-01 07:24:00'): 11.9,\n", + " Timestamp('2023-01-01 07:30:00'): 11.9,\n", + " Timestamp('2023-01-01 07:36:00'): 11.8,\n", + " Timestamp('2023-01-01 07:42:00'): 10.3,\n", + " Timestamp('2023-01-01 07:48:00'): 11.4,\n", + " Timestamp('2023-01-01 07:54:00'): 10.6,\n", + " Timestamp('2023-01-01 08:00:00'): 10.8,\n", + " Timestamp('2023-01-01 08:06:00'): 10.3,\n", + " Timestamp('2023-01-01 08:12:00'): 10.0,\n", + " Timestamp('2023-01-01 08:18:00'): 11.2,\n", + " Timestamp('2023-01-01 08:24:00'): 11.5,\n", + " Timestamp('2023-01-01 08:30:00'): 9.3,\n", + " Timestamp('2023-01-01 08:36:00'): 8.0,\n", + " Timestamp('2023-01-01 08:42:00'): 7.1,\n", + " Timestamp('2023-01-01 08:48:00'): 6.7,\n", + " Timestamp('2023-01-01 08:54:00'): 7.9,\n", + " Timestamp('2023-01-01 09:00:00'): 7.6,\n", + " Timestamp('2023-01-01 09:06:00'): 8.0,\n", + " Timestamp('2023-01-01 09:12:00'): 8.5,\n", + " Timestamp('2023-01-01 09:18:00'): 8.5,\n", + " Timestamp('2023-01-01 09:24:00'): 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Timestamp('2023-01-01 13:42:00'): 7.0,\n", + " Timestamp('2023-01-01 13:48:00'): 7.5,\n", + " Timestamp('2023-01-01 13:54:00'): 8.2,\n", + " Timestamp('2023-01-01 14:00:00'): 8.2,\n", + " Timestamp('2023-01-01 14:06:00'): 8.1,\n", + " Timestamp('2023-01-01 14:12:00'): 8.1,\n", + " Timestamp('2023-01-01 14:18:00'): 8.1,\n", + " Timestamp('2023-01-01 14:24:00'): 8.3,\n", + " Timestamp('2023-01-01 14:30:00'): 9.8,\n", + " Timestamp('2023-01-01 14:36:00'): 8.7,\n", + " Timestamp('2023-01-01 14:42:00'): 9.5,\n", + " Timestamp('2023-01-01 14:48:00'): 11.9,\n", + " Timestamp('2023-01-01 14:54:00'): 12.4,\n", + " Timestamp('2023-01-01 15:00:00'): 10.7,\n", + " Timestamp('2023-01-01 15:06:00'): 10.4,\n", + " Timestamp('2023-01-01 15:12:00'): 10.1,\n", + " Timestamp('2023-01-01 15:18:00'): 9.9,\n", + " Timestamp('2023-01-01 15:24:00'): 10.5,\n", + " Timestamp('2023-01-01 15:30:00'): 10.6,\n", + " Timestamp('2023-01-01 15:36:00'): 10.8,\n", + " Timestamp('2023-01-01 15:42:00'): 11.5,\n", + " Timestamp('2023-01-01 15:48:00'): 12.4,\n", + " Timestamp('2023-01-01 15:54:00'): 11.7,\n", + " Timestamp('2023-01-01 16:00:00'): 12.3,\n", + " Timestamp('2023-01-01 16:06:00'): 12.5,\n", + " Timestamp('2023-01-01 16:12:00'): 14.2,\n", + " Timestamp('2023-01-01 16:18:00'): 13.5,\n", + " Timestamp('2023-01-01 16:24:00'): 12.9,\n", + " Timestamp('2023-01-01 16:30:00'): 13.3,\n", + " Timestamp('2023-01-01 16:36:00'): 14.3,\n", + " Timestamp('2023-01-01 16:42:00'): 14.1,\n", + " Timestamp('2023-01-01 16:48:00'): 14.0,\n", + " Timestamp('2023-01-01 16:54:00'): 14.8,\n", + " Timestamp('2023-01-01 17:00:00'): 15.2,\n", + " Timestamp('2023-01-01 17:06:00'): 15.1,\n", + " Timestamp('2023-01-01 17:12:00'): 15.3,\n", + " Timestamp('2023-01-01 17:18:00'): 14.8,\n", + " Timestamp('2023-01-01 17:24:00'): 15.1,\n", + " Timestamp('2023-01-01 17:30:00'): 14.7,\n", + " Timestamp('2023-01-01 17:36:00'): 15.4,\n", + " Timestamp('2023-01-01 17:42:00'): 15.7,\n", + " Timestamp('2023-01-01 17:48:00'): 15.7,\n", + " Timestamp('2023-01-01 17:54:00'): 15.8,\n", + " Timestamp('2023-01-01 18:00:00'): 15.9,\n", + " Timestamp('2023-01-01 18:06:00'): 16.1,\n", + " Timestamp('2023-01-01 18:12:00'): 16.1,\n", + " Timestamp('2023-01-01 18:18:00'): 16.3,\n", + " Timestamp('2023-01-01 18:24:00'): 16.5,\n", + " Timestamp('2023-01-01 18:30:00'): 16.6,\n", + " Timestamp('2023-01-01 18:36:00'): 16.7,\n", + " Timestamp('2023-01-01 18:42:00'): 16.8,\n", + " Timestamp('2023-01-01 18:48:00'): 16.7,\n", + " Timestamp('2023-01-01 18:54:00'): 15.5,\n", + " Timestamp('2023-01-01 19:00:00'): 16.6,\n", + " Timestamp('2023-01-01 19:06:00'): 14.5,\n", + " Timestamp('2023-01-01 19:12:00'): 14.9,\n", + " Timestamp('2023-01-01 19:18:00'): 14.9,\n", + " Timestamp('2023-01-01 19:24:00'): 17.1,\n", + " Timestamp('2023-01-01 19:30:00'): 15.5,\n", + " Timestamp('2023-01-01 19:36:00'): 16.3,\n", + " Timestamp('2023-01-01 19:42:00'): 17.1,\n", + " Timestamp('2023-01-01 19:48:00'): 17.5,\n", + " Timestamp('2023-01-01 19:54:00'): 17.9,\n", + " Timestamp('2023-01-01 20:00:00'): 17.8,\n", + " Timestamp('2023-01-01 20:06:00'): nan,\n", + " Timestamp('2023-01-01 20:12:00'): nan,\n", + " Timestamp('2023-01-01 20:18:00'): nan,\n", + " Timestamp('2023-01-01 20:24:00'): nan,\n", + " Timestamp('2023-01-01 20:30:00'): nan,\n", + " Timestamp('2023-01-01 20:36:00'): nan,\n", + " Timestamp('2023-01-01 20:42:00'): nan,\n", + " Timestamp('2023-01-01 20:48:00'): nan,\n", + " Timestamp('2023-01-01 20:54:00'): nan,\n", + " Timestamp('2023-01-01 21:00:00'): nan,\n", + " Timestamp('2023-01-01 21:06:00'): nan,\n", + " Timestamp('2023-01-01 21:12:00'): 12.9,\n", + " Timestamp('2023-01-01 21:18:00'): 12.8,\n", + " Timestamp('2023-01-01 21:24:00'): 12.7,\n", + " Timestamp('2023-01-01 21:30:00'): 11.9,\n", + " Timestamp('2023-01-01 21:36:00'): 11.2,\n", + " Timestamp('2023-01-01 21:42:00'): 11.7,\n", + " Timestamp('2023-01-01 21:48:00'): 12.0,\n", + " Timestamp('2023-01-01 21:54:00'): nan,\n", + " Timestamp('2023-01-01 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00:06:00'): 7.2,\n", + " Timestamp('2023-01-02 00:12:00'): 7.6,\n", + " Timestamp('2023-01-02 00:18:00'): 7.5,\n", + " Timestamp('2023-01-02 00:24:00'): 7.0,\n", + " Timestamp('2023-01-02 00:30:00'): 6.7,\n", + " Timestamp('2023-01-02 00:36:00'): 6.5,\n", + " Timestamp('2023-01-02 00:42:00'): 6.7,\n", + " Timestamp('2023-01-02 00:48:00'): 7.0,\n", + " Timestamp('2023-01-02 00:54:00'): 7.2,\n", + " Timestamp('2023-01-02 01:00:00'): 7.4,\n", + " Timestamp('2023-01-02 01:06:00'): 7.2,\n", + " Timestamp('2023-01-02 01:12:00'): 7.2,\n", + " Timestamp('2023-01-02 01:18:00'): 7.2,\n", + " Timestamp('2023-01-02 01:24:00'): 6.6,\n", + " Timestamp('2023-01-02 01:30:00'): 7.3,\n", + " Timestamp('2023-01-02 01:36:00'): 7.7,\n", + " Timestamp('2023-01-02 01:42:00'): 7.9,\n", + " Timestamp('2023-01-02 01:48:00'): 7.3,\n", + " Timestamp('2023-01-02 01:54:00'): 7.4,\n", + " Timestamp('2023-01-02 02:00:00'): 8.1,\n", + " Timestamp('2023-01-02 02:06:00'): 7.9,\n", + " Timestamp('2023-01-02 02:12:00'): 7.8,\n", + " Timestamp('2023-01-02 02:18:00'): 7.9,\n", + " Timestamp('2023-01-02 02:24:00'): 8.5,\n", + " Timestamp('2023-01-02 02:30:00'): 8.2,\n", + " Timestamp('2023-01-02 02:36:00'): 8.0,\n", + " Timestamp('2023-01-02 02:42:00'): 7.8,\n", + " Timestamp('2023-01-02 02:48:00'): 8.6,\n", + " Timestamp('2023-01-02 02:54:00'): 8.6,\n", + " Timestamp('2023-01-02 03:00:00'): 8.0,\n", + " Timestamp('2023-01-02 03:06:00'): 7.7,\n", + " Timestamp('2023-01-02 03:12:00'): 8.5,\n", + " Timestamp('2023-01-02 03:18:00'): 8.5,\n", + " Timestamp('2023-01-02 03:24:00'): 8.6,\n", + " Timestamp('2023-01-02 03:30:00'): 8.2,\n", + " Timestamp('2023-01-02 03:36:00'): 7.2,\n", + " Timestamp('2023-01-02 03:42:00'): 7.5,\n", + " Timestamp('2023-01-02 03:48:00'): 7.8,\n", + " Timestamp('2023-01-02 03:54:00'): 7.9,\n", + " Timestamp('2023-01-02 04:00:00'): 6.5,\n", + " Timestamp('2023-01-02 04:06:00'): 6.3,\n", + " Timestamp('2023-01-02 04:12:00'): 6.2,\n", + " Timestamp('2023-01-02 04:18:00'): 6.0,\n", + " 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11.5,\n", + " Timestamp('2023-01-02 21:12:00'): 12.0,\n", + " Timestamp('2023-01-02 21:18:00'): 11.5,\n", + " Timestamp('2023-01-02 21:24:00'): 12.0,\n", + " Timestamp('2023-01-02 21:30:00'): 12.1,\n", + " Timestamp('2023-01-02 21:36:00'): 11.6,\n", + " Timestamp('2023-01-02 21:42:00'): 12.1,\n", + " Timestamp('2023-01-02 21:48:00'): 12.0,\n", + " Timestamp('2023-01-02 21:54:00'): 11.9,\n", + " Timestamp('2023-01-02 22:00:00'): 11.8,\n", + " Timestamp('2023-01-02 22:06:00'): 11.7,\n", + " Timestamp('2023-01-02 22:12:00'): 11.6,\n", + " Timestamp('2023-01-02 22:18:00'): 11.6,\n", + " Timestamp('2023-01-02 22:24:00'): 11.6,\n", + " Timestamp('2023-01-02 22:30:00'): 11.7,\n", + " Timestamp('2023-01-02 22:36:00'): 11.6,\n", + " Timestamp('2023-01-02 22:42:00'): 11.5,\n", + " Timestamp('2023-01-02 22:48:00'): 11.6,\n", + " Timestamp('2023-01-02 22:54:00'): 11.7,\n", + " Timestamp('2023-01-02 23:00:00'): 11.8,\n", + " Timestamp('2023-01-02 23:06:00'): 11.8,\n", + " Timestamp('2023-01-02 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8.5,\n", + " Timestamp('2023-01-03 01:24:00'): 8.4,\n", + " Timestamp('2023-01-03 01:30:00'): 9.3,\n", + " Timestamp('2023-01-03 01:36:00'): 9.5,\n", + " Timestamp('2023-01-03 01:42:00'): 7.6,\n", + " Timestamp('2023-01-03 01:48:00'): 7.7,\n", + " Timestamp('2023-01-03 01:54:00'): 8.6,\n", + " Timestamp('2023-01-03 02:00:00'): 8.2,\n", + " Timestamp('2023-01-03 02:06:00'): 8.7,\n", + " Timestamp('2023-01-03 02:12:00'): 8.5,\n", + " Timestamp('2023-01-03 02:18:00'): 8.2,\n", + " Timestamp('2023-01-03 02:24:00'): 8.1,\n", + " Timestamp('2023-01-03 02:30:00'): 9.4,\n", + " Timestamp('2023-01-03 02:36:00'): 9.4,\n", + " Timestamp('2023-01-03 02:42:00'): 10.3,\n", + " Timestamp('2023-01-03 02:48:00'): 10.3,\n", + " Timestamp('2023-01-03 02:54:00'): 10.0,\n", + " Timestamp('2023-01-03 03:00:00'): 10.2,\n", + " Timestamp('2023-01-03 03:06:00'): 10.7,\n", + " Timestamp('2023-01-03 03:12:00'): 10.6,\n", + " Timestamp('2023-01-03 03:18:00'): 10.6,\n", + " Timestamp('2023-01-03 03:24:00'): 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Timestamp('2023-01-04 11:42:00'): nan,\n", + " Timestamp('2023-01-04 11:48:00'): nan,\n", + " Timestamp('2023-01-04 11:54:00'): nan,\n", + " Timestamp('2023-01-04 12:00:00'): nan,\n", + " Timestamp('2023-01-04 12:06:00'): nan,\n", + " Timestamp('2023-01-04 12:12:00'): nan,\n", + " Timestamp('2023-01-04 12:18:00'): nan,\n", + " Timestamp('2023-01-04 12:24:00'): nan,\n", + " Timestamp('2023-01-04 12:30:00'): nan,\n", + " Timestamp('2023-01-04 12:36:00'): nan,\n", + " Timestamp('2023-01-04 12:42:00'): nan,\n", + " Timestamp('2023-01-04 12:48:00'): nan,\n", + " Timestamp('2023-01-04 12:54:00'): nan,\n", + " Timestamp('2023-01-04 13:00:00'): nan,\n", + " Timestamp('2023-01-04 13:06:00'): nan,\n", + " Timestamp('2023-01-04 13:12:00'): nan,\n", + " Timestamp('2023-01-04 13:18:00'): nan,\n", + " Timestamp('2023-01-04 13:24:00'): nan,\n", + " Timestamp('2023-01-04 13:30:00'): nan,\n", + " Timestamp('2023-01-04 13:36:00'): nan,\n", + " Timestamp('2023-01-04 13:42:00'): nan,\n", + " Timestamp('2023-01-04 13:48:00'): nan,\n", + " Timestamp('2023-01-04 13:54:00'): nan,\n", + " Timestamp('2023-01-04 14:00:00'): nan,\n", + " Timestamp('2023-01-04 14:06:00'): nan,\n", + " Timestamp('2023-01-04 14:12:00'): nan,\n", + " Timestamp('2023-01-04 14:18:00'): nan,\n", + " Timestamp('2023-01-04 14:24:00'): nan,\n", + " Timestamp('2023-01-04 14:30:00'): nan,\n", + " Timestamp('2023-01-04 14:36:00'): nan,\n", + " Timestamp('2023-01-04 14:42:00'): nan,\n", + " Timestamp('2023-01-04 14:48:00'): nan,\n", + " Timestamp('2023-01-04 14:54:00'): nan,\n", + " Timestamp('2023-01-04 15:00:00'): nan,\n", + " Timestamp('2023-01-04 15:06:00'): nan,\n", + " Timestamp('2023-01-04 15:12:00'): nan,\n", + " Timestamp('2023-01-04 15:18:00'): nan,\n", + " Timestamp('2023-01-04 15:24:00'): nan,\n", + " Timestamp('2023-01-04 15:30:00'): nan,\n", + " Timestamp('2023-01-04 15:36:00'): nan,\n", + " Timestamp('2023-01-04 15:42:00'): nan,\n", + " Timestamp('2023-01-04 15:48:00'): nan,\n", + " Timestamp('2023-01-04 15:54:00'): nan,\n", + " Timestamp('2023-01-04 16:00:00'): nan,\n", + " Timestamp('2023-01-04 16:06:00'): nan,\n", + " Timestamp('2023-01-04 16:12:00'): nan,\n", + " Timestamp('2023-01-04 16:18:00'): nan,\n", + " Timestamp('2023-01-04 16:24:00'): nan,\n", + " Timestamp('2023-01-04 16:30:00'): nan,\n", + " Timestamp('2023-01-04 16:36:00'): nan,\n", + " Timestamp('2023-01-04 16:42:00'): nan,\n", + " Timestamp('2023-01-04 16:48:00'): nan,\n", + " Timestamp('2023-01-04 16:54:00'): nan,\n", + " Timestamp('2023-01-04 17:00:00'): nan,\n", + " Timestamp('2023-01-04 17:06:00'): nan,\n", + " Timestamp('2023-01-04 17:12:00'): nan,\n", + " Timestamp('2023-01-04 17:18:00'): nan,\n", + " Timestamp('2023-01-04 17:24:00'): nan,\n", + " Timestamp('2023-01-04 17:30:00'): nan,\n", + " Timestamp('2023-01-04 17:36:00'): nan,\n", + " Timestamp('2023-01-04 17:42:00'): nan,\n", + " Timestamp('2023-01-04 17:48:00'): nan,\n", + " Timestamp('2023-01-04 17:54:00'): nan,\n", + " Timestamp('2023-01-04 18:00:00'): nan,\n", + " Timestamp('2023-01-04 18:06:00'): nan,\n", + " Timestamp('2023-01-04 18:12:00'): nan,\n", + " Timestamp('2023-01-04 18:18:00'): nan,\n", + " Timestamp('2023-01-04 18:24:00'): nan,\n", + " Timestamp('2023-01-04 18:30:00'): nan,\n", + " Timestamp('2023-01-04 18:36:00'): nan,\n", + " Timestamp('2023-01-04 18:42:00'): nan,\n", + " Timestamp('2023-01-04 18:48:00'): nan,\n", + " Timestamp('2023-01-04 18:54:00'): nan,\n", + " Timestamp('2023-01-04 19:00:00'): nan,\n", + " Timestamp('2023-01-04 19:06:00'): nan,\n", + " Timestamp('2023-01-04 19:12:00'): nan,\n", + " Timestamp('2023-01-04 19:18:00'): nan,\n", + " Timestamp('2023-01-04 19:24:00'): nan,\n", + " Timestamp('2023-01-04 19:30:00'): nan,\n", + " Timestamp('2023-01-04 19:36:00'): nan,\n", + " Timestamp('2023-01-04 19:42:00'): nan,\n", + " Timestamp('2023-01-04 19:48:00'): nan,\n", + " Timestamp('2023-01-04 19:54:00'): nan,\n", + " Timestamp('2023-01-04 20:00:00'): nan,\n", + " Timestamp('2023-01-04 20:06:00'): nan,\n", + " Timestamp('2023-01-04 20:12:00'): nan,\n", + " Timestamp('2023-01-04 20:18:00'): nan,\n", + " Timestamp('2023-01-04 20:24:00'): nan,\n", + " Timestamp('2023-01-04 20:30:00'): nan,\n", + " Timestamp('2023-01-04 20:36:00'): nan,\n", + " Timestamp('2023-01-04 20:42:00'): nan,\n", + " Timestamp('2023-01-04 20:48:00'): nan,\n", + " Timestamp('2023-01-04 20:54:00'): nan,\n", + " Timestamp('2023-01-04 21:00:00'): nan,\n", + " Timestamp('2023-01-04 21:06:00'): nan,\n", + " Timestamp('2023-01-04 21:12:00'): nan,\n", + " Timestamp('2023-01-04 21:18:00'): nan,\n", + " Timestamp('2023-01-04 21:24:00'): nan,\n", + " Timestamp('2023-01-04 21:30:00'): nan,\n", + " Timestamp('2023-01-04 21:36:00'): nan,\n", + " Timestamp('2023-01-04 21:42:00'): nan,\n", + " Timestamp('2023-01-04 21:48:00'): nan,\n", + " Timestamp('2023-01-04 21:54:00'): nan,\n", + " Timestamp('2023-01-04 22:00:00'): nan,\n", + " Timestamp('2023-01-04 22:06:00'): nan,\n", + " Timestamp('2023-01-04 22:12:00'): nan,\n", + " Timestamp('2023-01-04 22:18:00'): nan,\n", + " Timestamp('2023-01-04 22:24:00'): nan,\n", + " Timestamp('2023-01-04 22:30:00'): nan,\n", + " Timestamp('2023-01-04 22:36:00'): nan,\n", + " Timestamp('2023-01-04 22:42:00'): nan,\n", + " Timestamp('2023-01-04 22:48:00'): nan,\n", + " Timestamp('2023-01-04 22:54:00'): nan,\n", + " Timestamp('2023-01-04 23:00:00'): nan,\n", + " Timestamp('2023-01-04 23:06:00'): nan,\n", + " Timestamp('2023-01-04 23:12:00'): nan,\n", + " Timestamp('2023-01-04 23:18:00'): nan,\n", + " Timestamp('2023-01-04 23:24:00'): nan,\n", + " Timestamp('2023-01-04 23:30:00'): nan,\n", + " Timestamp('2023-01-04 23:36:00'): nan,\n", + " Timestamp('2023-01-04 23:42:00'): nan,\n", + " Timestamp('2023-01-04 23:48:00'): nan,\n", + " Timestamp('2023-01-04 23:54:00'): nan,\n", + " Timestamp('2023-01-05 00:00:00'): nan,\n", + " Timestamp('2023-01-05 00:06:00'): nan,\n", + " Timestamp('2023-01-05 00:12:00'): nan,\n", + " Timestamp('2023-01-05 00:18:00'): nan,\n", + " Timestamp('2023-01-05 00:24:00'): nan,\n", + " Timestamp('2023-01-05 00:30:00'): nan,\n", + " Timestamp('2023-01-05 00:36:00'): nan,\n", + " Timestamp('2023-01-05 00:42:00'): nan,\n", + " Timestamp('2023-01-05 00:48:00'): nan,\n", + " Timestamp('2023-01-05 00:54:00'): nan,\n", + " Timestamp('2023-01-05 01:00:00'): nan,\n", + " Timestamp('2023-01-05 01:06:00'): nan,\n", + " Timestamp('2023-01-05 01:12:00'): nan,\n", + " Timestamp('2023-01-05 01:18:00'): nan,\n", + " Timestamp('2023-01-05 01:24:00'): nan,\n", + " Timestamp('2023-01-05 01:30:00'): nan,\n", + " Timestamp('2023-01-05 01:36:00'): nan,\n", + " Timestamp('2023-01-05 01:42:00'): nan,\n", + " Timestamp('2023-01-05 01:48:00'): nan,\n", + " Timestamp('2023-01-05 01:54:00'): nan,\n", + " Timestamp('2023-01-05 02:00:00'): nan,\n", + " Timestamp('2023-01-05 02:06:00'): nan,\n", + " Timestamp('2023-01-05 02:12:00'): nan,\n", + " Timestamp('2023-01-05 02:18:00'): nan,\n", + " Timestamp('2023-01-05 02:24:00'): nan,\n", + " Timestamp('2023-01-05 02:30:00'): nan,\n", + " Timestamp('2023-01-05 02:36:00'): nan,\n", + " Timestamp('2023-01-05 02:42:00'): nan,\n", + " Timestamp('2023-01-05 02:48:00'): nan,\n", + " Timestamp('2023-01-05 02:54:00'): nan,\n", + " Timestamp('2023-01-05 03:00:00'): nan,\n", + " Timestamp('2023-01-05 03:06:00'): nan,\n", + " Timestamp('2023-01-05 03:12:00'): nan,\n", + " Timestamp('2023-01-05 03:18:00'): nan,\n", + " Timestamp('2023-01-05 03:24:00'): nan,\n", + " Timestamp('2023-01-05 03:30:00'): nan,\n", + " Timestamp('2023-01-05 03:36:00'): nan,\n", + " Timestamp('2023-01-05 03:42:00'): nan,\n", + " Timestamp('2023-01-05 03:48:00'): nan,\n", + " Timestamp('2023-01-05 03:54:00'): nan,\n", + " Timestamp('2023-01-05 04:00:00'): nan,\n", + " Timestamp('2023-01-05 04:06:00'): nan,\n", + " ...}}],\n", + " 'cwind': [{'WDIR': {Timestamp('2023-01-01 00:00:00'): 134.0,\n", + " Timestamp('2023-01-01 00:10:00'): 146.0,\n", + " Timestamp('2023-01-01 00:20:00'): 147.0,\n", + " Timestamp('2023-01-01 00:30:00'): 174.0,\n", + " Timestamp('2023-01-01 00:40:00'): 201.0,\n", + " Timestamp('2023-01-01 00:50:00'): 190.0,\n", + " Timestamp('2023-01-01 01:00:00'): 187.0,\n", + " Timestamp('2023-01-01 01:10:00'): 176.0,\n", + " Timestamp('2023-01-01 01:20:00'): 160.0,\n", + " Timestamp('2023-01-01 01:30:00'): 150.0,\n", + " Timestamp('2023-01-01 01:40:00'): 150.0,\n", + " Timestamp('2023-01-01 01:50:00'): 166.0,\n", + " Timestamp('2023-01-01 02:00:00'): 173.0,\n", + " Timestamp('2023-01-01 02:10:00'): 178.0,\n", + " Timestamp('2023-01-01 02:20:00'): 173.0,\n", + " Timestamp('2023-01-01 02:30:00'): 164.0,\n", + " Timestamp('2023-01-01 02:40:00'): 147.0,\n", + " Timestamp('2023-01-01 02:50:00'): 44.0,\n", + " Timestamp('2023-01-01 03:00:00'): 77.0,\n", + " Timestamp('2023-01-01 03:10:00'): 151.0,\n", + " Timestamp('2023-01-01 03:20:00'): 159.0,\n", + " Timestamp('2023-01-01 03:30:00'): 220.0,\n", + " Timestamp('2023-01-01 03:40:00'): 203.0,\n", + " Timestamp('2023-01-01 03:50:00'): 210.0,\n", + " Timestamp('2023-01-01 04:00:00'): 219.0,\n", + " Timestamp('2023-01-01 04:10:00'): 214.0,\n", + " Timestamp('2023-01-01 04:20:00'): 211.0,\n", + " Timestamp('2023-01-01 04:30:00'): 214.0,\n", + " Timestamp('2023-01-01 04:40:00'): 215.0,\n", + " Timestamp('2023-01-01 04:50:00'): 223.0,\n", + " Timestamp('2023-01-01 05:00:00'): 234.0,\n", + " Timestamp('2023-01-01 05:10:00'): 242.0,\n", + " Timestamp('2023-01-01 05:20:00'): 246.0,\n", + " Timestamp('2023-01-01 05:30:00'): 240.0,\n", + " Timestamp('2023-01-01 05:40:00'): 239.0,\n", + " Timestamp('2023-01-01 05:50:00'): 243.0,\n", + " Timestamp('2023-01-01 06:00:00'): 241.0,\n", + " Timestamp('2023-01-01 06:10:00'): 235.0,\n", + " Timestamp('2023-01-01 06:20:00'): 229.0,\n", + " Timestamp('2023-01-01 06:30:00'): 233.0,\n", + " Timestamp('2023-01-01 06:40:00'): 238.0,\n", + " Timestamp('2023-01-01 06:50:00'): 239.0,\n", + " Timestamp('2023-01-01 07:00:00'): 235.0,\n", + " Timestamp('2023-01-01 07:10:00'): 237.0,\n", + " Timestamp('2023-01-01 07:20:00'): 236.0,\n", + " Timestamp('2023-01-01 07:30:00'): 231.0,\n", + " Timestamp('2023-01-01 07:40:00'): 228.0,\n", + " Timestamp('2023-01-01 07:50:00'): 230.0,\n", + " Timestamp('2023-01-01 08:00:00'): 237.0,\n", + " Timestamp('2023-01-01 08:10:00'): 249.0,\n", + " Timestamp('2023-01-01 08:20:00'): 255.0,\n", + " Timestamp('2023-01-01 08:30:00'): 257.0,\n", + " Timestamp('2023-01-01 08:40:00'): 263.0,\n", + " Timestamp('2023-01-01 08:50:00'): 265.0,\n", + " Timestamp('2023-01-01 09:00:00'): 264.0,\n", + " Timestamp('2023-01-01 09:10:00'): 256.0,\n", + " Timestamp('2023-01-01 09:20:00'): 255.0,\n", + " Timestamp('2023-01-01 09:30:00'): 249.0,\n", + " Timestamp('2023-01-01 09:40:00'): 243.0,\n", + " Timestamp('2023-01-01 09:50:00'): 244.0,\n", + " Timestamp('2023-01-01 10:00:00'): 221.0,\n", + " Timestamp('2023-01-01 10:10:00'): 223.0,\n", + " Timestamp('2023-01-01 10:20:00'): 232.0,\n", + " Timestamp('2023-01-01 10:30:00'): 249.0,\n", + " Timestamp('2023-01-01 10:40:00'): 256.0,\n", + " Timestamp('2023-01-01 10:50:00'): 262.0,\n", + " Timestamp('2023-01-01 11:00:00'): 273.0,\n", + " Timestamp('2023-01-01 11:10:00'): 276.0,\n", + " Timestamp('2023-01-01 11:20:00'): 274.0,\n", + " Timestamp('2023-01-01 11:30:00'): 275.0,\n", + " Timestamp('2023-01-01 11:40:00'): 275.0,\n", + " Timestamp('2023-01-01 11:50:00'): 272.0,\n", + " Timestamp('2023-01-01 12:00:00'): 273.0,\n", + " Timestamp('2023-01-01 12:10:00'): 272.0,\n", + " Timestamp('2023-01-01 12:20:00'): 263.0,\n", + " Timestamp('2023-01-01 12:30:00'): 262.0,\n", + " Timestamp('2023-01-01 12:40:00'): 269.0,\n", + " Timestamp('2023-01-01 12:50:00'): 272.0,\n", + " Timestamp('2023-01-01 13:00:00'): 268.0,\n", + " Timestamp('2023-01-01 13:10:00'): 261.0,\n", + " Timestamp('2023-01-01 13:20:00'): 261.0,\n", + " Timestamp('2023-01-01 13:30:00'): 258.0,\n", + " Timestamp('2023-01-01 13:40:00'): 263.0,\n", + " Timestamp('2023-01-01 13:50:00'): 270.0,\n", + " Timestamp('2023-01-01 14:00:00'): 273.0,\n", + " Timestamp('2023-01-01 14:10:00'): 276.0,\n", + " Timestamp('2023-01-01 14:20:00'): 280.0,\n", + " Timestamp('2023-01-01 14:30:00'): 281.0,\n", + " Timestamp('2023-01-01 14:40:00'): 275.0,\n", + " Timestamp('2023-01-01 14:50:00'): 275.0,\n", + " Timestamp('2023-01-01 15:00:00'): 272.0,\n", + " Timestamp('2023-01-01 15:10:00'): 274.0,\n", + " Timestamp('2023-01-01 15:20:00'): 275.0,\n", + " Timestamp('2023-01-01 15:30:00'): 274.0,\n", + " Timestamp('2023-01-01 15:40:00'): 273.0,\n", + " Timestamp('2023-01-01 15:50:00'): 279.0,\n", + " Timestamp('2023-01-01 16:00:00'): 281.0,\n", + " Timestamp('2023-01-01 16:10:00'): 281.0,\n", + " Timestamp('2023-01-01 16:20:00'): 280.0,\n", + " Timestamp('2023-01-01 16:30:00'): 283.0,\n", + " Timestamp('2023-01-01 16:40:00'): 280.0,\n", + " Timestamp('2023-01-01 16:50:00'): 279.0,\n", + " Timestamp('2023-01-01 17:00:00'): 278.0,\n", + " Timestamp('2023-01-01 17:10:00'): 280.0,\n", + " Timestamp('2023-01-01 17:20:00'): 285.0,\n", + " Timestamp('2023-01-01 17:30:00'): 284.0,\n", + " Timestamp('2023-01-01 17:40:00'): 285.0,\n", + " Timestamp('2023-01-01 17:50:00'): 284.0,\n", + " Timestamp('2023-01-01 18:00:00'): 278.0,\n", + " Timestamp('2023-01-01 18:10:00'): 280.0,\n", + " Timestamp('2023-01-01 18:20:00'): 279.0,\n", + " Timestamp('2023-01-01 18:30:00'): 280.0,\n", + " Timestamp('2023-01-01 18:40:00'): 279.0,\n", + " Timestamp('2023-01-01 18:50:00'): 272.0,\n", + " Timestamp('2023-01-01 19:00:00'): 124.0,\n", + " Timestamp('2023-01-01 19:10:00'): 91.0,\n", + " Timestamp('2023-01-01 19:20:00'): 81.0,\n", + " Timestamp('2023-01-01 19:30:00'): 77.0,\n", + " Timestamp('2023-01-01 19:40:00'): nan,\n", + " Timestamp('2023-01-01 19:50:00'): 117.0,\n", + " Timestamp('2023-01-01 20:00:00'): 142.0,\n", + " Timestamp('2023-01-01 20:10:00'): 151.0,\n", + " Timestamp('2023-01-01 20:20:00'): 159.0,\n", + " Timestamp('2023-01-01 20:30:00'): 166.0,\n", + " Timestamp('2023-01-01 20:40:00'): 163.0,\n", + " Timestamp('2023-01-01 20:50:00'): 161.0,\n", + " Timestamp('2023-01-01 21:00:00'): 151.0,\n", + " Timestamp('2023-01-01 21:10:00'): 158.0,\n", + " Timestamp('2023-01-01 21:20:00'): 165.0,\n", + " Timestamp('2023-01-01 21:30:00'): 181.0,\n", + " Timestamp('2023-01-01 21:40:00'): 172.0,\n", + " Timestamp('2023-01-01 21:50:00'): 174.0,\n", + " Timestamp('2023-01-01 22:00:00'): 178.0,\n", + " Timestamp('2023-01-01 22:10:00'): 180.0,\n", + " Timestamp('2023-01-01 22:20:00'): 183.0,\n", + " Timestamp('2023-01-01 22:30:00'): 183.0,\n", + " Timestamp('2023-01-01 22:40:00'): 174.0,\n", + " Timestamp('2023-01-01 22:50:00'): 164.0,\n", + " Timestamp('2023-01-01 23:00:00'): 168.0,\n", + " Timestamp('2023-01-01 23:10:00'): 164.0,\n", + " Timestamp('2023-01-01 23:20:00'): 156.0,\n", + " Timestamp('2023-01-01 23:30:00'): 150.0,\n", + " Timestamp('2023-01-01 23:40:00'): 145.0,\n", + " Timestamp('2023-01-01 23:50:00'): 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Timestamp('2023-01-01 22:30:00'): 3.2,\n", + " Timestamp('2023-01-01 22:40:00'): 2.9,\n", + " Timestamp('2023-01-01 22:50:00'): 3.1,\n", + " Timestamp('2023-01-01 23:00:00'): 2.8,\n", + " Timestamp('2023-01-01 23:10:00'): 2.9,\n", + " Timestamp('2023-01-01 23:20:00'): 3.6,\n", + " Timestamp('2023-01-01 23:30:00'): 3.8,\n", + " Timestamp('2023-01-01 23:40:00'): 4.0,\n", + " Timestamp('2023-01-01 23:50:00'): 4.7,\n", + " Timestamp('2023-01-02 00:00:00'): 4.2,\n", + " Timestamp('2023-01-02 00:10:00'): 4.2,\n", + " Timestamp('2023-01-02 00:20:00'): 5.5,\n", + " Timestamp('2023-01-02 00:30:00'): 5.7,\n", + " Timestamp('2023-01-02 00:40:00'): 5.1,\n", + " Timestamp('2023-01-02 00:50:00'): 4.8,\n", + " Timestamp('2023-01-02 01:00:00'): 4.1,\n", + " Timestamp('2023-01-02 01:10:00'): 3.4,\n", + " Timestamp('2023-01-02 01:20:00'): 3.2,\n", + " Timestamp('2023-01-02 01:30:00'): 3.1,\n", + " Timestamp('2023-01-02 01:40:00'): 3.0,\n", + " Timestamp('2023-01-02 01:50:00'): 3.1,\n", + " 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Timestamp('2023-01-02 12:30:00'): 3.7,\n", + " Timestamp('2023-01-02 12:40:00'): 3.7,\n", + " Timestamp('2023-01-02 12:50:00'): 3.4,\n", + " Timestamp('2023-01-02 13:00:00'): 3.7,\n", + " Timestamp('2023-01-02 13:10:00'): 3.7,\n", + " Timestamp('2023-01-02 13:20:00'): 2.9,\n", + " Timestamp('2023-01-02 13:30:00'): 2.1,\n", + " Timestamp('2023-01-02 13:40:00'): 1.9,\n", + " Timestamp('2023-01-02 13:50:00'): 1.9,\n", + " Timestamp('2023-01-02 14:00:00'): 2.2,\n", + " Timestamp('2023-01-02 14:10:00'): 2.3,\n", + " Timestamp('2023-01-02 14:20:00'): 2.3,\n", + " Timestamp('2023-01-02 14:30:00'): 2.2,\n", + " Timestamp('2023-01-02 14:40:00'): 1.7,\n", + " Timestamp('2023-01-02 14:50:00'): 1.5,\n", + " Timestamp('2023-01-02 15:00:00'): 1.6,\n", + " Timestamp('2023-01-02 15:10:00'): 1.5,\n", + " Timestamp('2023-01-02 15:20:00'): 1.8,\n", + " Timestamp('2023-01-02 15:30:00'): 2.2,\n", + " Timestamp('2023-01-02 15:40:00'): 2.0,\n", + " Timestamp('2023-01-02 15:50:00'): 2.1,\n", + " Timestamp('2023-01-02 16:00:00'): 2.6,\n", + " Timestamp('2023-01-02 16:10:00'): 2.9,\n", + " Timestamp('2023-01-02 16:20:00'): 3.0,\n", + " Timestamp('2023-01-02 16:30:00'): 2.8,\n", + " Timestamp('2023-01-02 16:40:00'): 3.8,\n", + " Timestamp('2023-01-02 16:50:00'): 4.2,\n", + " Timestamp('2023-01-02 17:00:00'): 4.7,\n", + " Timestamp('2023-01-02 17:10:00'): 5.9,\n", + " Timestamp('2023-01-02 17:20:00'): 6.3,\n", + " Timestamp('2023-01-02 17:30:00'): 6.5,\n", + " Timestamp('2023-01-02 17:40:00'): 6.3,\n", + " Timestamp('2023-01-02 17:50:00'): 4.8,\n", + " Timestamp('2023-01-02 18:00:00'): 4.7,\n", + " Timestamp('2023-01-02 18:10:00'): 4.2,\n", + " Timestamp('2023-01-02 18:20:00'): 4.1,\n", + " Timestamp('2023-01-02 18:30:00'): 4.9,\n", + " Timestamp('2023-01-02 18:40:00'): 4.4,\n", + " Timestamp('2023-01-02 18:50:00'): 3.0,\n", + " Timestamp('2023-01-02 19:00:00'): 3.2,\n", + " Timestamp('2023-01-02 19:10:00'): 4.0,\n", + " Timestamp('2023-01-02 19:20:00'): 4.5,\n", + " Timestamp('2023-01-02 19:30:00'): 4.5,\n", + " Timestamp('2023-01-02 19:40:00'): 5.5,\n", + " Timestamp('2023-01-02 19:50:00'): 5.7,\n", + " Timestamp('2023-01-02 20:00:00'): 5.8,\n", + " Timestamp('2023-01-02 20:10:00'): 6.1,\n", + " Timestamp('2023-01-02 20:20:00'): 6.3,\n", + " Timestamp('2023-01-02 20:30:00'): 6.6,\n", + " Timestamp('2023-01-02 20:40:00'): 6.6,\n", + " Timestamp('2023-01-02 20:50:00'): 8.0,\n", + " Timestamp('2023-01-02 21:00:00'): 7.5,\n", + " Timestamp('2023-01-02 21:10:00'): 5.1,\n", + " Timestamp('2023-01-02 21:20:00'): 5.3,\n", + " Timestamp('2023-01-02 21:30:00'): 4.6,\n", + " Timestamp('2023-01-02 21:40:00'): 4.6,\n", + " Timestamp('2023-01-02 21:50:00'): 4.2,\n", + " Timestamp('2023-01-02 22:00:00'): 3.9,\n", + " Timestamp('2023-01-02 22:10:00'): 4.3,\n", + " Timestamp('2023-01-02 22:20:00'): 4.9,\n", + " Timestamp('2023-01-02 22:30:00'): 4.0,\n", + " Timestamp('2023-01-02 22:40:00'): 4.6,\n", + " Timestamp('2023-01-02 22:50:00'): 5.7,\n", + " Timestamp('2023-01-02 23:00:00'): 6.1,\n", + " Timestamp('2023-01-02 23:10:00'): 6.5,\n", + " Timestamp('2023-01-02 23:20:00'): 6.9,\n", + " Timestamp('2023-01-02 23:30:00'): 7.6,\n", + " Timestamp('2023-01-02 23:40:00'): 7.9,\n", + " Timestamp('2023-01-02 23:50:00'): 7.8,\n", + " Timestamp('2023-01-03 00:00:00'): 7.5,\n", + " Timestamp('2023-01-03 00:10:00'): 7.1,\n", + " Timestamp('2023-01-03 00:20:00'): 7.2,\n", + " Timestamp('2023-01-03 00:30:00'): 7.6,\n", + " Timestamp('2023-01-03 00:40:00'): 7.6,\n", + " Timestamp('2023-01-03 00:50:00'): 8.0,\n", + " Timestamp('2023-01-03 01:00:00'): 7.3,\n", + " Timestamp('2023-01-03 01:10:00'): 6.1,\n", + " Timestamp('2023-01-03 01:20:00'): 5.7,\n", + " Timestamp('2023-01-03 01:30:00'): 6.5,\n", + " Timestamp('2023-01-03 01:40:00'): 6.7,\n", + " Timestamp('2023-01-03 01:50:00'): 5.4,\n", + " Timestamp('2023-01-03 02:00:00'): 5.0,\n", + " Timestamp('2023-01-03 02:10:00'): 5.1,\n", + " Timestamp('2023-01-03 02:20:00'): 5.2,\n", + " Timestamp('2023-01-03 02:30:00'): 5.5,\n", + " Timestamp('2023-01-03 02:40:00'): 5.4,\n", + " Timestamp('2023-01-03 02:50:00'): 4.1,\n", + " Timestamp('2023-01-03 03:00:00'): 3.2,\n", + " Timestamp('2023-01-03 03:10:00'): 2.6,\n", + " Timestamp('2023-01-03 03:20:00'): 1.6,\n", + " Timestamp('2023-01-03 03:30:00'): 1.8,\n", + " Timestamp('2023-01-03 03:40:00'): 2.0,\n", + " Timestamp('2023-01-03 03:50:00'): 3.2,\n", + " Timestamp('2023-01-03 04:00:00'): 4.0,\n", + " Timestamp('2023-01-03 04:10:00'): 4.7,\n", + " Timestamp('2023-01-03 04:20:00'): 5.0,\n", + " Timestamp('2023-01-03 04:30:00'): 5.1,\n", + " Timestamp('2023-01-03 04:40:00'): 5.1,\n", + " Timestamp('2023-01-03 04:50:00'): 5.3,\n", + " Timestamp('2023-01-03 05:00:00'): 5.6,\n", + " Timestamp('2023-01-03 05:10:00'): 6.0,\n", + " Timestamp('2023-01-03 05:20:00'): 6.3,\n", + " Timestamp('2023-01-03 05:30:00'): 6.8,\n", + " Timestamp('2023-01-03 05:40:00'): 6.2,\n", + " Timestamp('2023-01-03 05:50:00'): 5.7,\n", + " Timestamp('2023-01-03 06:00:00'): 4.9,\n", + " Timestamp('2023-01-03 06:10:00'): 4.8,\n", + " Timestamp('2023-01-03 06:20:00'): 5.0,\n", + " Timestamp('2023-01-03 06:30:00'): 4.1,\n", + " Timestamp('2023-01-03 06:40:00'): 2.7,\n", + " Timestamp('2023-01-03 06:50:00'): 2.7,\n", + " Timestamp('2023-01-03 07:00:00'): 3.1,\n", + " Timestamp('2023-01-03 07:10:00'): 3.1,\n", + " Timestamp('2023-01-03 07:20:00'): 4.0,\n", + " Timestamp('2023-01-03 07:30:00'): 4.3,\n", + " Timestamp('2023-01-03 07:40:00'): 4.5,\n", + " Timestamp('2023-01-03 07:50:00'): 4.1,\n", + " Timestamp('2023-01-03 08:00:00'): 3.4,\n", + " Timestamp('2023-01-03 08:10:00'): 2.8,\n", + " Timestamp('2023-01-03 08:20:00'): 2.6,\n", + " Timestamp('2023-01-03 08:30:00'): 2.4,\n", + " Timestamp('2023-01-03 08:40:00'): 3.0,\n", + " Timestamp('2023-01-03 08:50:00'): 3.5,\n", + " Timestamp('2023-01-03 09:00:00'): 3.9,\n", + " Timestamp('2023-01-03 09:10:00'): 3.2,\n", + " Timestamp('2023-01-03 09:20:00'): 2.7,\n", + " Timestamp('2023-01-03 09:30:00'): 3.2,\n", + " Timestamp('2023-01-03 09:40:00'): 3.4,\n", + " Timestamp('2023-01-03 09:50:00'): 4.2,\n", + " Timestamp('2023-01-03 10:00:00'): 6.2,\n", + " Timestamp('2023-01-03 10:10:00'): 5.8,\n", + " Timestamp('2023-01-03 10:20:00'): 4.5,\n", + " Timestamp('2023-01-03 10:30:00'): 3.3,\n", + " Timestamp('2023-01-03 10:40:00'): 4.3,\n", + " Timestamp('2023-01-03 10:50:00'): 5.1,\n", + " Timestamp('2023-01-03 11:00:00'): 5.8,\n", + " Timestamp('2023-01-03 11:10:00'): 6.6,\n", + " Timestamp('2023-01-03 11:20:00'): 5.8,\n", + " Timestamp('2023-01-03 11:30:00'): 6.1,\n", + " Timestamp('2023-01-03 11:40:00'): 5.8,\n", + " Timestamp('2023-01-03 11:50:00'): 6.5,\n", + " Timestamp('2023-01-03 12:00:00'): 6.8,\n", + " Timestamp('2023-01-03 12:10:00'): 6.8,\n", + " Timestamp('2023-01-03 12:20:00'): 6.8,\n", + " Timestamp('2023-01-03 12:30:00'): 6.9,\n", + " Timestamp('2023-01-03 12:40:00'): 6.5,\n", + " Timestamp('2023-01-03 12:50:00'): 5.9,\n", + " Timestamp('2023-01-03 13:00:00'): 6.5,\n", + " Timestamp('2023-01-03 13:10:00'): 5.4,\n", + " Timestamp('2023-01-03 13:20:00'): 6.1,\n", + " Timestamp('2023-01-03 13:30:00'): 8.4,\n", + " Timestamp('2023-01-03 13:40:00'): 8.6,\n", + " Timestamp('2023-01-03 13:50:00'): 7.7,\n", + " Timestamp('2023-01-03 14:00:00'): 7.3,\n", + " Timestamp('2023-01-03 14:10:00'): 6.6,\n", + " Timestamp('2023-01-03 14:20:00'): 6.0,\n", + " Timestamp('2023-01-03 14:30:00'): 5.9,\n", + " Timestamp('2023-01-03 14:40:00'): 8.4,\n", + " Timestamp('2023-01-03 14:50:00'): 8.5,\n", + " Timestamp('2023-01-03 15:00:00'): 8.5,\n", + " Timestamp('2023-01-03 15:10:00'): 9.1,\n", + " Timestamp('2023-01-03 15:20:00'): 8.8,\n", + " Timestamp('2023-01-03 15:30:00'): 8.6,\n", + " Timestamp('2023-01-03 15:40:00'): 8.3,\n", + " Timestamp('2023-01-03 15:50:00'): 7.6,\n", + " Timestamp('2023-01-03 16:00:00'): 6.9,\n", + " Timestamp('2023-01-03 16:10:00'): 6.3,\n", + " Timestamp('2023-01-03 16:20:00'): 5.3,\n", + " 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Timestamp('2023-01-03 20:00:00'): 10.3,\n", + " Timestamp('2023-01-03 20:10:00'): 8.8,\n", + " Timestamp('2023-01-03 20:20:00'): 9.2,\n", + " Timestamp('2023-01-03 20:30:00'): 9.3,\n", + " Timestamp('2023-01-03 20:40:00'): 9.8,\n", + " Timestamp('2023-01-03 20:50:00'): 9.9,\n", + " Timestamp('2023-01-03 21:00:00'): 9.8,\n", + " Timestamp('2023-01-03 21:10:00'): 8.4,\n", + " Timestamp('2023-01-03 21:20:00'): 9.6,\n", + " Timestamp('2023-01-03 21:30:00'): 10.1,\n", + " Timestamp('2023-01-03 21:40:00'): 10.6,\n", + " Timestamp('2023-01-03 21:50:00'): 10.3,\n", + " Timestamp('2023-01-03 22:00:00'): 9.7,\n", + " Timestamp('2023-01-03 22:10:00'): 9.3,\n", + " Timestamp('2023-01-03 22:20:00'): 10.4,\n", + " Timestamp('2023-01-03 22:30:00'): 11.1,\n", + " Timestamp('2023-01-03 22:40:00'): 11.3,\n", + " Timestamp('2023-01-03 22:50:00'): 11.0,\n", + " Timestamp('2023-01-03 23:00:00'): 9.7,\n", + " Timestamp('2023-01-03 23:10:00'): 8.4,\n", + " Timestamp('2023-01-03 23:20:00'): 7.5,\n", + " Timestamp('2023-01-03 23:30:00'): 8.1,\n", + " Timestamp('2023-01-03 23:40:00'): 9.0,\n", + " Timestamp('2023-01-03 23:50:00'): 8.0,\n", + " Timestamp('2023-01-04 00:00:00'): 7.7,\n", + " Timestamp('2023-01-04 00:10:00'): 8.5,\n", + " Timestamp('2023-01-04 00:20:00'): 8.5,\n", + " Timestamp('2023-01-04 00:30:00'): 8.0,\n", + " Timestamp('2023-01-04 00:40:00'): 6.1,\n", + " Timestamp('2023-01-04 00:50:00'): 7.3,\n", + " Timestamp('2023-01-04 01:00:00'): 8.3,\n", + " Timestamp('2023-01-04 01:10:00'): 8.6,\n", + " Timestamp('2023-01-04 01:20:00'): 7.3,\n", + " Timestamp('2023-01-04 01:30:00'): 8.0,\n", + " Timestamp('2023-01-04 01:40:00'): 6.9,\n", + " Timestamp('2023-01-04 01:50:00'): 6.7,\n", + " Timestamp('2023-01-04 02:00:00'): 6.2,\n", + " Timestamp('2023-01-04 02:10:00'): 5.9,\n", + " Timestamp('2023-01-04 02:20:00'): 7.7,\n", + " Timestamp('2023-01-04 02:30:00'): 8.1,\n", + " Timestamp('2023-01-04 02:40:00'): 8.3,\n", + " Timestamp('2023-01-04 02:50:00'): 9.1,\n", + " 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Timestamp('2023-01-04 20:30:00'): 8.4,\n", + " Timestamp('2023-01-04 20:40:00'): 7.9,\n", + " Timestamp('2023-01-04 20:50:00'): 7.8,\n", + " Timestamp('2023-01-04 21:00:00'): 7.3,\n", + " Timestamp('2023-01-04 21:10:00'): 8.0,\n", + " Timestamp('2023-01-04 21:20:00'): 8.6,\n", + " Timestamp('2023-01-04 21:30:00'): 7.7,\n", + " Timestamp('2023-01-04 21:40:00'): 7.6,\n", + " Timestamp('2023-01-04 21:50:00'): 7.9,\n", + " Timestamp('2023-01-04 22:00:00'): 7.0,\n", + " Timestamp('2023-01-04 22:10:00'): 6.9,\n", + " Timestamp('2023-01-04 22:20:00'): 7.9,\n", + " Timestamp('2023-01-04 22:30:00'): 8.8,\n", + " Timestamp('2023-01-04 22:40:00'): 9.2,\n", + " Timestamp('2023-01-04 22:50:00'): 8.9,\n", + " Timestamp('2023-01-04 23:00:00'): 8.3,\n", + " Timestamp('2023-01-04 23:10:00'): 9.0,\n", + " Timestamp('2023-01-04 23:20:00'): 8.4,\n", + " Timestamp('2023-01-04 23:30:00'): 7.6,\n", + " Timestamp('2023-01-04 23:40:00'): 8.4,\n", + " Timestamp('2023-01-04 23:50:00'): 8.6,\n", + " Timestamp('2023-01-05 00:00:00'): 10.0,\n", + " Timestamp('2023-01-05 00:10:00'): 9.1,\n", + " Timestamp('2023-01-05 00:20:00'): 9.3,\n", + " Timestamp('2023-01-05 00:30:00'): 9.3,\n", + " Timestamp('2023-01-05 00:40:00'): 9.0,\n", + " Timestamp('2023-01-05 00:50:00'): 6.8,\n", + " Timestamp('2023-01-05 01:00:00'): 5.9,\n", + " Timestamp('2023-01-05 01:10:00'): 6.1,\n", + " Timestamp('2023-01-05 01:20:00'): 5.5,\n", + " Timestamp('2023-01-05 01:30:00'): 6.5,\n", + " Timestamp('2023-01-05 01:40:00'): 6.7,\n", + " Timestamp('2023-01-05 01:50:00'): 5.8,\n", + " Timestamp('2023-01-05 02:00:00'): 5.6,\n", + " Timestamp('2023-01-05 02:10:00'): 6.0,\n", + " Timestamp('2023-01-05 02:20:00'): 6.5,\n", + " Timestamp('2023-01-05 02:30:00'): 6.5,\n", + " Timestamp('2023-01-05 02:40:00'): 5.6,\n", + " Timestamp('2023-01-05 02:50:00'): 5.7,\n", + " Timestamp('2023-01-05 03:00:00'): 6.3,\n", + " Timestamp('2023-01-05 03:10:00'): 6.2,\n", + " Timestamp('2023-01-05 03:20:00'): 5.8,\n", + " Timestamp('2023-01-05 03:30:00'): 5.4,\n", + " Timestamp('2023-01-05 03:40:00'): 5.9,\n", + " Timestamp('2023-01-05 03:50:00'): 5.9,\n", + " Timestamp('2023-01-05 04:00:00'): 5.3,\n", + " Timestamp('2023-01-05 04:10:00'): 6.9,\n", + " Timestamp('2023-01-05 04:20:00'): 7.6,\n", + " Timestamp('2023-01-05 04:30:00'): 7.2,\n", + " Timestamp('2023-01-05 04:40:00'): 7.0,\n", + " Timestamp('2023-01-05 04:50:00'): 6.0,\n", + " Timestamp('2023-01-05 05:00:00'): 4.5,\n", + " Timestamp('2023-01-05 05:10:00'): 3.9,\n", + " Timestamp('2023-01-05 05:20:00'): 3.3,\n", + " Timestamp('2023-01-05 05:30:00'): 2.5,\n", + " Timestamp('2023-01-05 05:40:00'): 1.2,\n", + " Timestamp('2023-01-05 05:50:00'): 1.5,\n", + " Timestamp('2023-01-05 06:00:00'): 2.7,\n", + " Timestamp('2023-01-05 06:10:00'): 3.2,\n", + " Timestamp('2023-01-05 06:20:00'): 3.4,\n", + " Timestamp('2023-01-05 06:30:00'): 3.7,\n", + " Timestamp('2023-01-05 06:40:00'): 3.8,\n", + " Timestamp('2023-01-05 06:50:00'): 4.4,\n", + " 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Timestamp('2023-01-05 10:30:00'): 2.8,\n", + " Timestamp('2023-01-05 10:40:00'): 2.2,\n", + " Timestamp('2023-01-05 10:50:00'): 1.9,\n", + " Timestamp('2023-01-05 11:00:00'): 2.1,\n", + " Timestamp('2023-01-05 12:10:00'): 1.9,\n", + " Timestamp('2023-01-05 12:20:00'): 1.5,\n", + " Timestamp('2023-01-05 12:30:00'): 2.2,\n", + " Timestamp('2023-01-05 12:40:00'): 2.0,\n", + " Timestamp('2023-01-05 12:50:00'): 1.8,\n", + " Timestamp('2023-01-05 13:00:00'): 2.2,\n", + " Timestamp('2023-01-05 13:10:00'): 2.2,\n", + " Timestamp('2023-01-05 13:20:00'): 1.6,\n", + " Timestamp('2023-01-05 13:30:00'): 1.6,\n", + " Timestamp('2023-01-05 13:40:00'): 1.2,\n", + " Timestamp('2023-01-05 13:50:00'): 1.0,\n", + " Timestamp('2023-01-05 14:00:00'): 1.2,\n", + " Timestamp('2023-01-05 15:10:00'): 0.4,\n", + " Timestamp('2023-01-05 15:20:00'): 0.6,\n", + " Timestamp('2023-01-05 15:30:00'): 1.0,\n", + " Timestamp('2023-01-05 15:40:00'): 0.8,\n", + " Timestamp('2023-01-05 15:50:00'): 1.1,\n", + " 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Timestamp('2023-01-05 19:30:00'): 2.3,\n", + " Timestamp('2023-01-05 19:40:00'): 2.4,\n", + " Timestamp('2023-01-05 19:50:00'): 2.4,\n", + " Timestamp('2023-01-05 20:00:00'): 2.1,\n", + " Timestamp('2023-01-05 20:10:00'): 1.6,\n", + " Timestamp('2023-01-05 20:20:00'): 1.6,\n", + " Timestamp('2023-01-05 20:30:00'): 1.8,\n", + " Timestamp('2023-01-05 20:40:00'): 1.4,\n", + " Timestamp('2023-01-05 20:50:00'): 1.5,\n", + " Timestamp('2023-01-05 21:00:00'): 1.8,\n", + " Timestamp('2023-01-05 21:10:00'): 1.6,\n", + " Timestamp('2023-01-05 21:20:00'): 1.2,\n", + " Timestamp('2023-01-05 21:30:00'): 1.2,\n", + " Timestamp('2023-01-05 21:40:00'): 0.7,\n", + " Timestamp('2023-01-05 21:50:00'): 0.2,\n", + " Timestamp('2023-01-05 22:00:00'): 1.3,\n", + " Timestamp('2023-01-05 22:10:00'): 2.2,\n", + " Timestamp('2023-01-05 22:20:00'): 2.1,\n", + " Timestamp('2023-01-05 22:30:00'): 1.5,\n", + " Timestamp('2023-01-05 22:40:00'): 0.3,\n", + " Timestamp('2023-01-05 22:50:00'): 1.2,\n", + " 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Timestamp('2023-01-06 13:00:00'): 4.6,\n", + " Timestamp('2023-01-06 13:10:00'): 5.0,\n", + " Timestamp('2023-01-06 13:20:00'): 6.8,\n", + " Timestamp('2023-01-06 13:30:00'): 9.0,\n", + " Timestamp('2023-01-06 13:40:00'): 7.8,\n", + " Timestamp('2023-01-06 13:50:00'): 6.4,\n", + " Timestamp('2023-01-06 14:00:00'): 7.6,\n", + " Timestamp('2023-01-06 14:10:00'): 7.2,\n", + " Timestamp('2023-01-06 14:20:00'): 7.1,\n", + " Timestamp('2023-01-06 14:30:00'): 7.3,\n", + " Timestamp('2023-01-06 14:40:00'): 7.0,\n", + " Timestamp('2023-01-06 14:50:00'): 9.0,\n", + " Timestamp('2023-01-06 15:00:00'): 11.1,\n", + " Timestamp('2023-01-06 15:10:00'): 10.9,\n", + " Timestamp('2023-01-06 15:20:00'): 10.2,\n", + " Timestamp('2023-01-06 15:30:00'): 10.3,\n", + " Timestamp('2023-01-06 15:40:00'): 12.2,\n", + " Timestamp('2023-01-06 15:50:00'): 11.3,\n", + " Timestamp('2023-01-06 16:00:00'): 10.8,\n", + " Timestamp('2023-01-06 16:10:00'): 9.6,\n", + " Timestamp('2023-01-06 16:20:00'): 9.6,\n", + " Timestamp('2023-01-06 16:30:00'): 9.2,\n", + " Timestamp('2023-01-06 16:40:00'): 8.2,\n", + " Timestamp('2023-01-06 16:50:00'): 8.5,\n", + " Timestamp('2023-01-06 17:00:00'): 8.8,\n", + " Timestamp('2023-01-06 17:10:00'): 7.1,\n", + " Timestamp('2023-01-06 17:20:00'): 7.3,\n", + " Timestamp('2023-01-06 17:30:00'): 7.9,\n", + " Timestamp('2023-01-06 17:40:00'): 8.4,\n", + " Timestamp('2023-01-06 17:50:00'): 9.6,\n", + " Timestamp('2023-01-06 18:00:00'): 8.6,\n", + " Timestamp('2023-01-06 18:10:00'): 7.5,\n", + " Timestamp('2023-01-06 18:20:00'): 8.6,\n", + " Timestamp('2023-01-06 18:30:00'): 8.3,\n", + " Timestamp('2023-01-06 18:40:00'): 8.5,\n", + " Timestamp('2023-01-06 18:50:00'): 8.3,\n", + " Timestamp('2023-01-06 19:00:00'): 8.1,\n", + " Timestamp('2023-01-06 19:10:00'): 7.4,\n", + " Timestamp('2023-01-06 19:20:00'): 7.6,\n", + " Timestamp('2023-01-06 19:30:00'): 7.4,\n", + " Timestamp('2023-01-06 19:40:00'): 8.3,\n", + " Timestamp('2023-01-06 19:50:00'): 7.8,\n", + " Timestamp('2023-01-06 20:00:00'): 7.4,\n", + " Timestamp('2023-01-06 20:10:00'): 6.2,\n", + " Timestamp('2023-01-06 20:20:00'): 6.4,\n", + " Timestamp('2023-01-06 20:30:00'): 6.9,\n", + " Timestamp('2023-01-06 20:40:00'): 6.9,\n", + " Timestamp('2023-01-06 20:50:00'): 6.5,\n", + " Timestamp('2023-01-06 21:00:00'): 7.3,\n", + " Timestamp('2023-01-06 21:10:00'): 7.5,\n", + " Timestamp('2023-01-06 21:20:00'): 7.7,\n", + " Timestamp('2023-01-06 21:30:00'): 8.8,\n", + " Timestamp('2023-01-06 21:40:00'): 6.8,\n", + " Timestamp('2023-01-06 21:50:00'): 6.5,\n", + " Timestamp('2023-01-06 22:00:00'): 6.3,\n", + " Timestamp('2023-01-06 22:10:00'): 6.7,\n", + " Timestamp('2023-01-06 22:20:00'): 7.8,\n", + " Timestamp('2023-01-06 22:30:00'): 8.9,\n", + " Timestamp('2023-01-06 22:40:00'): 8.4,\n", + " Timestamp('2023-01-06 22:50:00'): 7.4,\n", + " Timestamp('2023-01-06 23:00:00'): 8.0,\n", + " Timestamp('2023-01-06 23:10:00'): 7.8,\n", + " Timestamp('2023-01-06 23:20:00'): 8.1,\n", + " Timestamp('2023-01-06 23:30:00'): 8.5,\n", + " Timestamp('2023-01-06 23:40:00'): 8.0,\n", + " Timestamp('2023-01-06 23:50:00'): 7.3,\n", + " Timestamp('2023-01-07 00:00:00'): 6.3,\n", + " Timestamp('2023-01-07 00:10:00'): 5.6,\n", + " Timestamp('2023-01-07 00:20:00'): 5.6,\n", + " Timestamp('2023-01-07 00:30:00'): 4.8,\n", + " Timestamp('2023-01-07 00:40:00'): 3.7,\n", + " Timestamp('2023-01-07 00:50:00'): 3.5,\n", + " Timestamp('2023-01-07 01:00:00'): 3.9,\n", + " Timestamp('2023-01-07 01:10:00'): 3.6,\n", + " Timestamp('2023-01-07 01:20:00'): 3.6,\n", + " Timestamp('2023-01-07 01:30:00'): 4.0,\n", + " Timestamp('2023-01-07 01:40:00'): 3.5,\n", + " Timestamp('2023-01-07 01:50:00'): 4.0,\n", + " Timestamp('2023-01-07 02:00:00'): 4.6,\n", + " Timestamp('2023-01-07 02:10:00'): 4.1,\n", + " Timestamp('2023-01-07 02:20:00'): 3.5,\n", + " Timestamp('2023-01-07 02:30:00'): 3.3,\n", + " Timestamp('2023-01-07 02:40:00'): 3.3,\n", + " Timestamp('2023-01-07 02:50:00'): 3.2,\n", + " Timestamp('2023-01-07 03:00:00'): 3.5,\n", + " Timestamp('2023-01-07 03:10:00'): 3.9,\n", + " Timestamp('2023-01-07 03:20:00'): 3.8,\n", + " Timestamp('2023-01-07 03:30:00'): 3.2,\n", + " Timestamp('2023-01-07 03:40:00'): 3.3,\n", + " Timestamp('2023-01-07 03:50:00'): 4.0,\n", + " Timestamp('2023-01-07 04:00:00'): 3.9,\n", + " Timestamp('2023-01-07 04:10:00'): 3.8,\n", + " Timestamp('2023-01-07 04:20:00'): 4.0,\n", + " Timestamp('2023-01-07 04:30:00'): 4.6,\n", + " Timestamp('2023-01-07 04:40:00'): 4.6,\n", + " Timestamp('2023-01-07 04:50:00'): 5.4,\n", + " Timestamp('2023-01-07 05:00:00'): 4.7,\n", + " Timestamp('2023-01-07 05:10:00'): 4.3,\n", + " Timestamp('2023-01-07 05:20:00'): 3.5,\n", + " Timestamp('2023-01-07 05:30:00'): 4.5,\n", + " Timestamp('2023-01-07 05:40:00'): 4.8,\n", + " Timestamp('2023-01-07 05:50:00'): 4.0,\n", + " Timestamp('2023-01-07 06:00:00'): 5.3,\n", + " Timestamp('2023-01-07 06:10:00'): 4.6,\n", + " Timestamp('2023-01-07 06:20:00'): 4.3,\n", + " Timestamp('2023-01-07 06:30:00'): 4.1,\n", + " Timestamp('2023-01-07 06:40:00'): 4.3,\n", + " Timestamp('2023-01-07 06:50:00'): 4.7,\n", + " Timestamp('2023-01-07 07:00:00'): 4.1,\n", + " Timestamp('2023-01-07 07:10:00'): 4.2,\n", + " Timestamp('2023-01-07 07:20:00'): 4.4,\n", + " Timestamp('2023-01-07 07:30:00'): 4.4,\n", + " Timestamp('2023-01-07 07:40:00'): 4.5,\n", + " Timestamp('2023-01-07 07:50:00'): 3.7,\n", + " Timestamp('2023-01-07 08:00:00'): 3.8,\n", + " Timestamp('2023-01-07 08:10:00'): 3.6,\n", + " Timestamp('2023-01-07 08:20:00'): 3.3,\n", + " Timestamp('2023-01-07 08:30:00'): 3.5,\n", + " Timestamp('2023-01-07 08:40:00'): 3.8,\n", + " Timestamp('2023-01-07 08:50:00'): 3.7,\n", + " Timestamp('2023-01-07 09:00:00'): 3.3,\n", + " Timestamp('2023-01-07 09:10:00'): 3.0,\n", + " Timestamp('2023-01-07 09:20:00'): 3.1,\n", + " Timestamp('2023-01-07 09:30:00'): 3.1,\n", + " Timestamp('2023-01-07 09:40:00'): 3.5,\n", + " Timestamp('2023-01-07 09:50:00'): 4.1,\n", + " Timestamp('2023-01-07 10:00:00'): 4.4,\n", + " Timestamp('2023-01-07 10:10:00'): 5.0,\n", + " Timestamp('2023-01-07 10:20:00'): 5.0,\n", + " Timestamp('2023-01-07 10:30:00'): 5.3,\n", + " Timestamp('2023-01-07 10:40:00'): 5.3,\n", + " Timestamp('2023-01-07 10:50:00'): 4.7,\n", + " Timestamp('2023-01-07 11:00:00'): 5.3,\n", + " Timestamp('2023-01-07 11:10:00'): 4.7,\n", + " Timestamp('2023-01-07 11:20:00'): 4.1,\n", + " Timestamp('2023-01-07 11:30:00'): 4.0,\n", + " Timestamp('2023-01-07 11:40:00'): 4.4,\n", + " Timestamp('2023-01-07 11:50:00'): 4.9,\n", + " Timestamp('2023-01-07 12:00:00'): 4.6,\n", + " Timestamp('2023-01-07 12:10:00'): 3.8,\n", + " Timestamp('2023-01-07 12:20:00'): 3.5,\n", + " Timestamp('2023-01-07 12:30:00'): 3.2,\n", + " Timestamp('2023-01-07 12:40:00'): 3.2,\n", + " Timestamp('2023-01-07 12:50:00'): 2.8,\n", + " Timestamp('2023-01-07 13:00:00'): 2.7,\n", + " Timestamp('2023-01-07 13:10:00'): 2.3,\n", + " Timestamp('2023-01-07 13:20:00'): 1.8,\n", + " 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Timestamp('2023-01-08 00:20:00'): nan,\n", + " Timestamp('2023-01-08 00:30:00'): nan,\n", + " ...}}]}" ] }, "execution_count": 24, @@ -30361,12 +33365,604 @@ "outputs": [ { "data": { + "text/html": [ + "
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<xarray.Dataset> Size: 3MB\n",
+       "Dimensions:                  (time: 39874, latitude: 1, longitude: 1)\n",
+       "Coordinates:\n",
+       "  * time                     (time) datetime64[ns] 319kB 2019-06-01 ... 2023-...\n",
+       "  * latitude                 (latitude) float32 4B 38.9\n",
+       "  * longitude                (longitude) float32 4B -76.44\n",
+       "Data variables: (12/14)\n",
+       "    wind_dir                 (time, latitude, longitude) float64 319kB 92.0 ....\n",
+       "    wind_spd                 (time, latitude, longitude) float32 159kB 1.8 .....\n",
+       "    gust                     (time, latitude, longitude) float32 159kB 1.9 .....\n",
+       "    wave_height              (time, latitude, longitude) float32 159kB nan .....\n",
+       "    dominant_wpd             (time, latitude, longitude) timedelta64[ns] 319kB ...\n",
+       "    average_wpd              (time, latitude, longitude) timedelta64[ns] 319kB ...\n",
+       "    ...                       ...\n",
+       "    air_temperature          (time, latitude, longitude) float32 159kB 25.5 ....\n",
+       "    sea_surface_temperature  (time, latitude, longitude) float32 159kB 23.7 ....\n",
+       "    dewpt_temperature        (time, latitude, longitude) float32 159kB 17.2 ....\n",
+       "    visibility               (time, latitude, longitude) float32 159kB nan .....\n",
+       "    water_level              (time, latitude, longitude) float32 159kB nan .....\n",
+       "    station_id               <U5 20B 'tplm2'\n",
+       "Attributes:\n",
+       "    institution:  NOAA National Data Buoy Center and Participators in Data As...\n",
+       "    url:          http://dods.ndbc.noaa.gov\n",
+       "    quality:      Automated QC checks with manual editing and comprehensive m...\n",
+       "    conventions:  COARDS\n",
+       "    station:      tplm2\n",
+       "    comment:      Thomas Point, MD\n",
+       "    location:     38.899 N 76.436 W 
" + ], "text/plain": [ - "\n", - "root group (NETCDF4 data model, file format HDF5):\n", - " dimensions(sizes): time(39874), latitude(1), longitude(1)\n", - " variables(dimensions): float64 time(time), float64 latitude(latitude), float64 longitude(longitude), float32 air_temperature(time, latitude, longitude), float32 gust(time, latitude, longitude), float32 average_wpd(time, latitude, longitude), float32 dewpt_temperature(time, latitude, longitude), float32 wave_height(time, latitude, longitude), float32 dominant_wpd(time, latitude, longitude), float32 water_level(time, latitude, longitude), float32 air_pressure(time, latitude, longitude), int32 wind_dir(time, latitude, longitude), int32 mean_wave_dir(time, latitude, longitude), float32 sea_surface_temperature(time, latitude, longitude), float32 wind_spd(time, latitude, longitude), float32 visibility(time, latitude, longitude)\n", - " groups: " + " Size: 3MB\n", + "Dimensions: (time: 39874, latitude: 1, longitude: 1)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 319kB 2019-06-01 ... 2023-...\n", + " * latitude (latitude) float32 4B 38.9\n", + " * longitude (longitude) float32 4B -76.44\n", + "Data variables: (12/14)\n", + " wind_dir (time, latitude, longitude) float64 319kB 92.0 ....\n", + " wind_spd (time, latitude, longitude) float32 159kB 1.8 .....\n", + " gust (time, latitude, longitude) float32 159kB 1.9 .....\n", + " wave_height (time, latitude, longitude) float32 159kB nan .....\n", + " dominant_wpd (time, latitude, longitude) timedelta64[ns] 319kB ...\n", + " average_wpd (time, latitude, longitude) timedelta64[ns] 319kB ...\n", + " ... ...\n", + " air_temperature (time, latitude, longitude) float32 159kB 25.5 ....\n", + " sea_surface_temperature (time, latitude, longitude) float32 159kB 23.7 ....\n", + " dewpt_temperature (time, latitude, longitude) float32 159kB 17.2 ....\n", + " visibility (time, latitude, longitude) float32 159kB nan .....\n", + " water_level (time, latitude, longitude) float32 159kB nan .....\n", + " station_id , 'start_time': '2023-01-01', 'use_opendap': False, 'use_timestamp': True}\"}\n", - 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" 'already in cache.'}\n", - "[DEBUG]: {'message': 'Handling request https://www.ndbc.noaa.gov/view_text_file.php?filename=tplm212024.txt.gz&dir=data/stdmet/Jan/.'}\n", - "{'message': 'Handling request '\n", - " 'https://www.ndbc.noaa.gov/view_text_file.php?filename=tplm212024.txt.gz&dir=data/stdmet/Jan/.'}\n", - "[DEBUG]: {'message': 'Request https://www.ndbc.noaa.gov/view_text_file.php?filename=apam2h2023.txt.gz&dir=data/historical/stdmet/ already in cache.'}\n", - "{'message': 'Request '\n", - " 'https://www.ndbc.noaa.gov/view_text_file.php?filename=apam2h2023.txt.gz&dir=data/historical/stdmet/ '\n", - " 'already in cache.'}\n", "[DEBUG]: {'message': 'Request https://www.ndbc.noaa.gov/view_text_file.php?filename=apam2c2023.txt.gz&dir=data/historical/cwind/ already in cache.'}\n", "{'message': 'Request '\n", " 'https://www.ndbc.noaa.gov/view_text_file.php?filename=apam2c2023.txt.gz&dir=data/historical/cwind/ '\n", " 'already in cache.'}\n", - "[DEBUG]: {'station_id': 'tplm2', 'message': 'Found station tplm2 in cache.'}\n", - 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"{'message': 'Request '\n", - " 'https://www.ndbc.noaa.gov/view_text_file.php?filename=apam212024.txt.gz&dir=data/stdmet/Jan/ '\n", - " 'already in cache.'}\n", + "[DEBUG]: {'message': 'Handling request https://www.ndbc.noaa.gov/view_text_file.php?filename=apam212024.txt.gz&dir=data/cwind/Jan/.'}\n", + "{'message': 'Handling request '\n", + " 'https://www.ndbc.noaa.gov/view_text_file.php?filename=apam212024.txt.gz&dir=data/cwind/Jan/.'}\n", "[DEBUG]: {'message': 'Request https://www.ndbc.noaa.gov/view_text_file.php?filename=apam212024.txt.gz&dir=data/cwind/Jan/ already in cache.'}\n", "{'message': 'Request '\n", " 'https://www.ndbc.noaa.gov/view_text_file.php?filename=apam212024.txt.gz&dir=data/cwind/Jan/ '\n", " 'already in cache.'}\n", - "[DEBUG]: {'station_id': 'tplm2', 'mode': 'stdmet', 'message': 'Successfully processed request for station_id tplm2 and mode stdmet'}\n", - "{'message': 'Successfully processed request for station_id tplm2 and mode '\n", - " 'stdmet',\n", - " 'mode': 'stdmet',\n", - " 'station_id': 'tplm2'}\n", - "[DEBUG]: {'station_id': 'tplm2', 'mode': 'cwind', 'message': 'Successfully processed request for station_id tplm2 and mode cwind'}\n", - "{'message': 'Successfully processed request for station_id tplm2 and mode '\n", - " 'cwind',\n", - " 'mode': 'cwind',\n", - " 'station_id': 'tplm2'}\n", - "[DEBUG]: {'station_id': 'apam2', 'mode': 'stdmet', 'message': 'Successfully processed request for station_id apam2 and mode stdmet'}\n", - "{'message': 'Successfully processed request for station_id apam2 and mode '\n", - " 'stdmet',\n", - " 'mode': 'stdmet',\n", - " 'station_id': 'apam2'}\n", - "[WARNING]: {'station_id': 'apam2', 'mode': 'cwind', 'message': 'Failed to process request for station_id apam2 and mode cwind with error: NDBC API: Failed to handle API call.\\nRaised from No objects to concatenate'}\n", - "{'message': 'Failed to process request for station_id apam2 and mode cwind '\n", - " 'with error: NDBC API: Failed to handle API call.\\n'\n", + "[WARNING]: {'station_id': 'apam2', 'message': 'Failed to process request for station_id apam2 with error: NDBC API: Failed to handle API call.\\nRaised from No objects to concatenate'}\n", + "{'message': 'Failed to process request for station_id apam2 with error: NDBC '\n", + " 'API: Failed to handle API call.\\n'\n", " 'Raised from No objects to concatenate',\n", - " 'mode': 'cwind',\n", " 'station_id': 'apam2'}\n", - "[INFO]: {'message': \"Finished processing request for station_ids ['tplm2', 'apam2'] and modes ['stdmet', 'cwind'] with 3 results\"}\n", - "{'message': \"Finished processing request for station_ids ['tplm2', 'apam2'] \"\n", - " \"and modes ['stdmet', 'cwind'] with 3 results\"}\n", - "[DEBUG]: {'message': \"Returning data for multiple station_ids ['tplm2', 'apam2'] and modes ['stdmet', 'cwind']\"}\n", - "{'message': \"Returning data for multiple station_ids ['tplm2', 'apam2'] and \"\n", - " \"modes ['stdmet', 'cwind']\"}\n" + "[DEBUG]: {'station_id': 'tplm2', 'message': 'Successfully processed request for station_id tplm2'}\n", + "{'message': 'Successfully processed request for station_id tplm2',\n", + " 'station_id': 'tplm2'}\n", + "[INFO]: {'message': 'Finished processing request.'}\n", + "{'message': 'Finished processing request.'}\n" ] }, { @@ -30577,7 +34162,7 @@ "
\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30596,7 +34181,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30617,7 +34202,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30636,7 +34221,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30655,7 +34240,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30674,7 +34259,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30693,7 +34278,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30712,7 +34297,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -30730,18 +34315,18 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", " \n", " \n", " \n", @@ -30749,18 +34334,18 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", " \n", " \n", " \n", @@ -30768,18 +34353,18 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", " \n", " \n", " \n", @@ -30787,18 +34372,18 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -30807,58 +34392,58 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", "
station_idtimestamp2023-01-01 00:00:002023-01-01 01:00:002023-01-01 02:00:00
WDIR141.0182.0172.0
WSPDGSTWVHTDPDAPDMWDPRESATMPWTMPDEWPVISTIDE6.95.56.5
timestampGST7.25.76.7
2023-01-01 00:00:00apam2124.01.63.5NaNWVHTNaNNaNNaN1010.49.76.9
DPDNaNNaNNaN
2023-01-01 00:06:00apam2120.02.02.6APDNaNNaNNaN
MWDNaN1010.79.46.9NaNNaN
PRES1011.31011.51011.8
ATMP10.510.18.5
WTMPNaNNaNNaN
2023-01-01 00:12:00apam2140.01.62.8DEWPNaNNaNNaN
VISNaN1010.79.66.9NaNNaN
TIDENaNNaNNaN
station_idWDIRWSPDGST
timestampstation_id
2023-01-01 00:00:00tplm2tplm2141.06.97.2
2023-01-01 01:00:00tplm2tplm2182.05.55.7
2023-01-01 02:00:00tplm2tplm2172.06.56.7
2023-01-01 03:00:00tplm2tplm287.00.40.7
2023-01-01 04:00:00tplm2tplm2224.03.63.7
.....................
2023-12-31 23:36:00apam2143.01.83.32023-12-31 23:20:00tplm2140.05.4NaNNaNNaNNaNNaNNaNNaN1015.8NaN9.9NaNNaNNaNNaN
2023-12-31 23:42:00apam2152.01.32.82023-12-31 23:30:00tplm2144.05.9NaNNaNNaNNaNNaNNaNNaN1015.9NaN10.0NaNNaNNaNNaN
2023-12-31 23:48:00apam22023-12-31 23:40:00tplm2142.01.32.75.6NaNNaNNaNNaNNaNNaNNaN1015.8NaN9.9NaNNaNNaNNaN
2023-12-31 23:54:00apam2143.01.42.72023-12-31 23:50:00tplm2148.05.9NaNNaNNaNNaNNaNNaNNaNNaN1015.96.89.9NaNNaNNaN
2024-01-01 00:00:00apam2tplm2151.01.42.36.87.9NaNNaNNaNNaNNaN1016.06.89.9NaNNaNNaNNaNNaN150.02358.0
\n", - "

148325 rows × 16 columns

\n", + "

148325 rows × 15 columns

\n", "" ], "text/plain": [ - " station_id WDIR WSPD GST WVHT DPD APD MWD PRES \\\n", - "timestamp \n", - "2023-01-01 00:00:00 tplm2 141.0 6.9 7.2 NaN NaN NaN NaN 1011.3 \n", - "2023-01-01 01:00:00 tplm2 182.0 5.5 5.7 NaN NaN NaN NaN 1011.5 \n", - "2023-01-01 02:00:00 tplm2 172.0 6.5 6.7 NaN NaN NaN NaN 1011.8 \n", - "2023-01-01 03:00:00 tplm2 87.0 0.4 0.7 NaN NaN NaN NaN 1010.6 \n", - "2023-01-01 04:00:00 tplm2 224.0 3.6 3.7 NaN NaN NaN NaN 1011.1 \n", - "... ... ... ... ... ... ... ... ... ... \n", - "2023-12-31 23:36:00 apam2 143.0 1.8 3.3 NaN NaN NaN NaN 1015.8 \n", - "2023-12-31 23:42:00 apam2 152.0 1.3 2.8 NaN NaN NaN NaN 1015.9 \n", - "2023-12-31 23:48:00 apam2 142.0 1.3 2.7 NaN NaN NaN NaN 1015.8 \n", - "2023-12-31 23:54:00 apam2 143.0 1.4 2.7 NaN NaN NaN NaN 1015.9 \n", - "2024-01-01 00:00:00 apam2 151.0 1.4 2.3 NaN NaN NaN NaN 1016.0 \n", + " WDIR WSPD GST WVHT DPD APD MWD PRES \\\n", + "timestamp station_id \n", + "2023-01-01 00:00:00 tplm2 141.0 6.9 7.2 NaN NaN NaN NaN 1011.3 \n", + "2023-01-01 01:00:00 tplm2 182.0 5.5 5.7 NaN NaN NaN NaN 1011.5 \n", + "2023-01-01 02:00:00 tplm2 172.0 6.5 6.7 NaN NaN NaN NaN 1011.8 \n", + "2023-01-01 03:00:00 tplm2 87.0 0.4 0.7 NaN NaN NaN NaN 1010.6 \n", + "2023-01-01 04:00:00 tplm2 224.0 3.6 3.7 NaN NaN NaN NaN 1011.1 \n", + "... ... ... ... ... ... ... ... ... \n", + "2023-12-31 23:20:00 tplm2 140.0 5.4 NaN NaN NaN NaN NaN NaN \n", + "2023-12-31 23:30:00 tplm2 144.0 5.9 NaN NaN NaN NaN NaN NaN \n", + "2023-12-31 23:40:00 tplm2 142.0 5.6 NaN NaN NaN NaN NaN NaN \n", + "2023-12-31 23:50:00 tplm2 148.0 5.9 NaN NaN NaN NaN NaN NaN \n", + "2024-01-01 00:00:00 tplm2 151.0 6.8 7.9 NaN NaN NaN NaN NaN \n", "\n", - " ATMP WTMP DEWP VIS TIDE GDR GTIME \n", - "timestamp \n", - "2023-01-01 00:00:00 10.5 NaN NaN NaN NaN NaN NaN \n", - "2023-01-01 01:00:00 10.1 NaN NaN NaN NaN NaN NaN \n", - "2023-01-01 02:00:00 8.5 NaN NaN NaN NaN NaN NaN \n", - "2023-01-01 03:00:00 7.4 NaN NaN NaN NaN NaN NaN \n", - "2023-01-01 04:00:00 12.0 NaN NaN NaN NaN NaN NaN \n", - "... ... ... ... ... ... ... ... \n", - "2023-12-31 23:36:00 NaN 9.9 NaN NaN NaN NaN NaN \n", - "2023-12-31 23:42:00 NaN 10.0 NaN NaN NaN NaN NaN \n", - "2023-12-31 23:48:00 NaN 9.9 NaN NaN NaN NaN NaN \n", - "2023-12-31 23:54:00 6.8 9.9 NaN NaN NaN NaN NaN \n", - "2024-01-01 00:00:00 6.8 9.9 NaN NaN NaN NaN NaN \n", + " ATMP WTMP DEWP VIS TIDE GDR GTIME \n", + "timestamp station_id \n", + "2023-01-01 00:00:00 tplm2 10.5 NaN NaN NaN NaN NaN NaN \n", + "2023-01-01 01:00:00 tplm2 10.1 NaN NaN NaN NaN NaN NaN \n", + "2023-01-01 02:00:00 tplm2 8.5 NaN NaN NaN NaN NaN NaN \n", + "2023-01-01 03:00:00 tplm2 7.4 NaN NaN NaN NaN NaN NaN \n", + "2023-01-01 04:00:00 tplm2 12.0 NaN NaN NaN NaN NaN NaN \n", + "... ... ... ... ... ... ... ... \n", + "2023-12-31 23:20:00 tplm2 NaN NaN NaN NaN NaN NaN NaN \n", + "2023-12-31 23:30:00 tplm2 NaN NaN NaN NaN NaN NaN NaN \n", + "2023-12-31 23:40:00 tplm2 NaN NaN NaN NaN NaN NaN NaN \n", + "2023-12-31 23:50:00 tplm2 NaN NaN NaN NaN NaN NaN NaN \n", + "2024-01-01 00:00:00 tplm2 NaN NaN NaN NaN NaN 150.0 2358.0 \n", "\n", - "[148325 rows x 16 columns]" + "[148325 rows x 15 columns]" ] }, "execution_count": 29, @@ -30894,7 +34479,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -30908,14 +34493,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.10" }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "b2785e216e7a20b196a316c7e325ee02adc42957e613958a2188d56ea987fa80" - } - } + "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 diff --git a/poetry.lock b/poetry.lock index 13f789a..9643c90 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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">=1.20" +packaging = ">=21.3" +pandas = ">=1.3" + +[package.extras] +accel = ["bottleneck", "flox", "numbagg", "scipy"] +complete = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "matplotlib", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scipy", "seaborn", "zarr"] +docs = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "ipykernel", "ipython", "jupyter-client", "matplotlib", "nbsphinx", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scanpydoc", "scipy", "seaborn", "sphinx-autosummary-accessors", "sphinx-rtd-theme", "zarr"] +io = ["cfgrib", "cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "rasterio", "scipy", "zarr"] +parallel = ["dask[complete]"] +viz = ["matplotlib", "nc-time-axis", "seaborn"] [[package]] -name = "zipp" -version = "3.20.1" -description = "Backport of pathlib-compatible object wrapper for zip files" +name = "yapf" +version = "0.43.0" +description = "A formatter for Python code" optional = false -python-versions = ">=3.8" +python-versions = ">=3.7" files = [ - {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"}, - {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"}, + {file = "yapf-0.43.0-py3-none-any.whl", hash = "sha256:224faffbc39c428cb095818cf6ef5511fdab6f7430a10783fdfb292ccf2852ca"}, + {file = "yapf-0.43.0.tar.gz", hash = "sha256:00d3aa24bfedff9420b2e0d5d9f5ab6d9d4268e72afbf59bb3fa542781d5218e"}, ] -[package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] -cover = ["pytest-cov"] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -enabler = ["pytest-enabler (>=2.2)"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] -type = ["pytest-mypy"] +[package.dependencies] +platformdirs = ">=3.5.1" +tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""} [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.13" -content-hash = "7272570d0c388126478acc31a2311e43af12db6498df2cd5a660b57043f3132f" +content-hash = "89db34ca08c91848f2636ad3957c6fa41047103d411e11cac8c5c6e5f5d942a4" diff --git a/pyproject.toml b/pyproject.toml index a0dcacc..6aeccfd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,10 +10,11 @@ readme = "README.md" python = ">=3.8,<3.13" requests = ">=2.10.0" pandas = ">=1.5.3" -numpy = "^1.24.3" +numpy = ">=1.24.3" +scipy = ">=1.7.3" beautifulsoup4 = "~4" html5lib = "^1.1" -netcdf4 = "^1.7.1.post2" +xarray = ">=2022.6.0" [tool.poetry.group.dev.dependencies] coveralls = ">=4.0.1" diff --git a/requirements.txt b/requirements.txt index 052bab2..cf76e05 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,6 @@ requests>=2.10.0 -pandas +pandas>2.0.0 beautifulsoup4 html5lib>=1.1 -netcdf4==1.7.1.post2 +xarray +scipy diff --git a/tests/api/parsers/opendap/test_adcp.py b/tests/api/parsers/opendap/test_adcp.py index 7683867..8d39f61 100644 --- a/tests/api/parsers/opendap/test_adcp.py +++ b/tests/api/parsers/opendap/test_adcp.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest @@ -18,7 +18,7 @@ def adcp_response(): @pytest.fixture def parsed_adcp(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -32,5 +32,5 @@ def test_available_measurements(adcp, adcp_response, parsed_adcp): resp = adcp_response want = parsed_adcp got = adcp.nc_from_responses([resp]) - assert set(want.variables.keys()) == set(got.variables.keys()) + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/parsers/opendap/test_cwind.py b/tests/api/parsers/opendap/test_cwind.py index e4d4faa..0887eeb 100644 --- a/tests/api/parsers/opendap/test_cwind.py +++ b/tests/api/parsers/opendap/test_cwind.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest @@ -18,7 +18,7 @@ def cwind_response(): @pytest.fixture def parsed_cwind(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -32,4 +32,5 @@ def test_available_measurements(cwind, cwind_response, parsed_cwind): resp = cwind_response want = parsed_cwind got = cwind.nc_from_responses([resp], use_timestamp=True) - assert set(want.variables.keys()) == set(got.variables.keys()) + + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/parsers/opendap/test_ocean.py b/tests/api/parsers/opendap/test_ocean.py index 9be8d58..2029a41 100644 --- a/tests/api/parsers/opendap/test_ocean.py +++ b/tests/api/parsers/opendap/test_ocean.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest @@ -18,7 +18,7 @@ def ocean_response(): @pytest.fixture def parsed_ocean(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -32,4 +32,5 @@ def test_available_measurements(ocean, ocean_response, parsed_ocean): resp = ocean_response want = parsed_ocean got = ocean.nc_from_responses([resp], use_timestamp=True) - assert set(want.variables.keys()) == set(got.variables.keys()) + + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/parsers/opendap/test_pwind.py b/tests/api/parsers/opendap/test_pwind.py index 7dc6a57..c690dbb 100644 --- a/tests/api/parsers/opendap/test_pwind.py +++ b/tests/api/parsers/opendap/test_pwind.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest @@ -18,7 +18,7 @@ def pwind_response(): @pytest.fixture def parsed_pwind(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -33,5 +33,4 @@ def test_available_measurements(pwind, pwind_response, parsed_pwind): want = parsed_pwind got = pwind.nc_from_responses([resp], use_timestamp=True) - - assert set(want.variables.keys()) == set(got.variables.keys()) + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/parsers/opendap/test_stdmet.py b/tests/api/parsers/opendap/test_stdmet.py index 516d936..915a8e9 100644 --- a/tests/api/parsers/opendap/test_stdmet.py +++ b/tests/api/parsers/opendap/test_stdmet.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest @@ -18,7 +18,7 @@ def stdmet_response(): @pytest.fixture def parsed_stdmet(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -32,4 +32,5 @@ def test_available_measurements(stdmet, stdmet_response, parsed_stdmet): resp = stdmet_response want = parsed_stdmet got = stdmet.nc_from_responses([resp], use_timestamp=True) - assert set(want.variables.keys()) == set(got.variables.keys()) \ No newline at end of file + + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/parsers/opendap/test_swden.py b/tests/api/parsers/opendap/test_swden.py index ec41bc2..50708a1 100644 --- a/tests/api/parsers/opendap/test_swden.py +++ b/tests/api/parsers/opendap/test_swden.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest @@ -18,7 +18,7 @@ def swden_response(): @pytest.fixture def parsed_swden(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -32,4 +32,5 @@ def test_available_measurements(swden, swden_response, parsed_swden): resp = swden_response want = parsed_swden got = swden.nc_from_responses([resp], use_timestamp=True) - assert set(want.variables.keys()) == set(got.variables.keys()) + + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/parsers/opendap/test_wlevel.py b/tests/api/parsers/opendap/test_wlevel.py index c1d4c70..3ec5479 100644 --- a/tests/api/parsers/opendap/test_wlevel.py +++ b/tests/api/parsers/opendap/test_wlevel.py @@ -1,4 +1,4 @@ -import netCDF4 as nc +import xarray import pytest import yaml @@ -19,7 +19,7 @@ def wlevel_response(): @pytest.fixture def parsed_wlevel(): - ds = nc.Dataset(PARSED_FP, 'r') + ds = xarray.open_dataset(PARSED_FP) yield ds @@ -33,4 +33,5 @@ def test_available_measurements(wlevel, wlevel_response, parsed_wlevel): resp = wlevel_response want = parsed_wlevel got = wlevel.nc_from_responses([resp], use_timestamp=True) - assert set(want.variables.keys()) == set(got.variables.keys()) + + assert set(want.variables.keys()).issubset(set(got.variables.keys())) diff --git a/tests/api/requests/http/test_adcp.py b/tests/api/requests/http/test_adcp.py index 7b8ae08..f29b19b 100644 --- a/tests/api/requests/http/test_adcp.py +++ b/tests/api/requests/http/test_adcp.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.adcp import AdcpRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('adcp.yml') TEST_STN = '41117' diff --git a/tests/api/requests/http/test_cwind.py b/tests/api/requests/http/test_cwind.py index e501876..2718b35 100644 --- a/tests/api/requests/http/test_cwind.py +++ b/tests/api/requests/http/test_cwind.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.cwind import CwindRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('cwind.yml') TEST_STN = 'tplm2' diff --git a/tests/api/requests/http/test_ocean.py b/tests/api/requests/http/test_ocean.py index 7425792..611ead3 100644 --- a/tests/api/requests/http/test_ocean.py +++ b/tests/api/requests/http/test_ocean.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.ocean import OceanRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('ocean.yml') TEST_STN = '41024' diff --git a/tests/api/requests/http/test_spec.py b/tests/api/requests/http/test_spec.py index 4610e00..35d713f 100644 --- a/tests/api/requests/http/test_spec.py +++ b/tests/api/requests/http/test_spec.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.spec import SpecRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('spec.yml') TEST_STN = '41001' diff --git a/tests/api/requests/http/test_stdmet.py b/tests/api/requests/http/test_stdmet.py index 2a48d16..c2ea640 100644 --- a/tests/api/requests/http/test_stdmet.py +++ b/tests/api/requests/http/test_stdmet.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.stdmet import StdmetRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('stdmet.yml') TEST_STN = 'tplm2' diff --git a/tests/api/requests/http/test_supl.py b/tests/api/requests/http/test_supl.py index b4d01b1..2e40ed6 100644 --- a/tests/api/requests/http/test_supl.py +++ b/tests/api/requests/http/test_supl.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.supl import SuplRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('supl.yml') TEST_STN = '41001' diff --git a/tests/api/requests/http/test_swden.py b/tests/api/requests/http/test_swden.py index 11112e2..4fb6375 100644 --- a/tests/api/requests/http/test_swden.py +++ b/tests/api/requests/http/test_swden.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.swden import SwdenRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('swden.yml') TEST_STN = '41001' diff --git a/tests/api/requests/http/test_swdir.py b/tests/api/requests/http/test_swdir.py index bf692a4..02a4c41 100644 --- a/tests/api/requests/http/test_swdir.py +++ b/tests/api/requests/http/test_swdir.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.swdir import SwdirRequest from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('swdir.yml') TEST_STN = '41001' diff --git a/tests/api/requests/http/test_swdir2.py b/tests/api/requests/http/test_swdir2.py index e7b03bd..ade2b8c 100644 --- a/tests/api/requests/http/test_swdir2.py +++ b/tests/api/requests/http/test_swdir2.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.swdir2 import Swdir2Request from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('swdir2.yml') TEST_STN = '41001' diff --git a/tests/api/requests/http/test_swr1.py b/tests/api/requests/http/test_swr1.py index c0d769d..c45a7c0 100644 --- a/tests/api/requests/http/test_swr1.py +++ b/tests/api/requests/http/test_swr1.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.swr1 import Swr1Request from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('swr1.yml') TEST_STN = '41001' diff --git a/tests/api/requests/http/test_swr2.py b/tests/api/requests/http/test_swr2.py index 9f7f7ce..46d1440 100644 --- a/tests/api/requests/http/test_swr2.py +++ b/tests/api/requests/http/test_swr2.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.http.swr2 import Swr2Request from tests.api.requests.http._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('swr2.yml') TEST_STN = '41001' diff --git a/tests/api/requests/opendap/test_adcp.py b/tests/api/requests/opendap/test_adcp.py index e8cf13a..2358b30 100644 --- a/tests/api/requests/opendap/test_adcp.py +++ b/tests/api/requests/opendap/test_adcp.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.adcp import AdcpRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('adcp.yml') TEST_STN = '41001' diff --git a/tests/api/requests/opendap/test_cwind.py b/tests/api/requests/opendap/test_cwind.py index 480f59f..0f68820 100644 --- a/tests/api/requests/opendap/test_cwind.py +++ b/tests/api/requests/opendap/test_cwind.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.cwind import CwindRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('cwind.yml') TEST_STN = '41001' diff --git a/tests/api/requests/opendap/test_ocean.py b/tests/api/requests/opendap/test_ocean.py index 7ba0cfa..d750a48 100644 --- a/tests/api/requests/opendap/test_ocean.py +++ b/tests/api/requests/opendap/test_ocean.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.ocean import OceanRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('ocean.yml') TEST_STN = '41024' diff --git a/tests/api/requests/opendap/test_pwind.py b/tests/api/requests/opendap/test_pwind.py index 3efda84..fc87d45 100644 --- a/tests/api/requests/opendap/test_pwind.py +++ b/tests/api/requests/opendap/test_pwind.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.pwind import PwindRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('pwind.yml') TEST_STN = '41001' diff --git a/tests/api/requests/opendap/test_stdmet.py b/tests/api/requests/opendap/test_stdmet.py index d575487..8f99e8f 100644 --- a/tests/api/requests/opendap/test_stdmet.py +++ b/tests/api/requests/opendap/test_stdmet.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.stdmet import StdmetRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('stdmet.yml') TEST_STN = 'tplm2' diff --git a/tests/api/requests/opendap/test_swden.py b/tests/api/requests/opendap/test_swden.py index 5cd14a8..fd750cc 100644 --- a/tests/api/requests/opendap/test_swden.py +++ b/tests/api/requests/opendap/test_swden.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.swden import SwdenRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('swden.yml') TEST_STN = '41001' diff --git a/tests/api/requests/opendap/test_wlevel.py b/tests/api/requests/opendap/test_wlevel.py index 212d40c..8aa8dc9 100644 --- a/tests/api/requests/opendap/test_wlevel.py +++ b/tests/api/requests/opendap/test_wlevel.py @@ -3,8 +3,8 @@ from ndbc_api.api.requests.opendap.wlevel import WlevelRequest from tests.api.requests.opendap._base import (HISTORICAL_END, HISTORICAL_START, - REALTIME_END, REALTIME_START, - REQUESTS_TESTS_DIR) + REALTIME_END, REALTIME_START, + REQUESTS_TESTS_DIR) TEST_FP = REQUESTS_TESTS_DIR.joinpath('wlevel.yml') TEST_STN = '41001' diff --git a/tests/data/api/parsed/opendap/adcp.nc b/tests/data/api/parsed/opendap/adcp.nc index 8977a2d..bc1252b 100644 Binary files a/tests/data/api/parsed/opendap/adcp.nc and b/tests/data/api/parsed/opendap/adcp.nc differ diff --git a/tests/data/api/parsed/opendap/cwind.nc b/tests/data/api/parsed/opendap/cwind.nc index 0ca5d09..1a99db1 100644 Binary files a/tests/data/api/parsed/opendap/cwind.nc and b/tests/data/api/parsed/opendap/cwind.nc differ diff --git a/tests/data/api/parsed/opendap/ocean.nc b/tests/data/api/parsed/opendap/ocean.nc index 0ca5d09..1a99db1 100644 Binary files a/tests/data/api/parsed/opendap/ocean.nc and b/tests/data/api/parsed/opendap/ocean.nc differ diff --git a/tests/data/api/parsed/opendap/pwind.nc b/tests/data/api/parsed/opendap/pwind.nc index 0ca5d09..1a99db1 100644 Binary files a/tests/data/api/parsed/opendap/pwind.nc and b/tests/data/api/parsed/opendap/pwind.nc differ diff --git a/tests/data/api/parsed/opendap/stdmet.nc b/tests/data/api/parsed/opendap/stdmet.nc index 0ca5d09..1a99db1 100644 Binary files a/tests/data/api/parsed/opendap/stdmet.nc and b/tests/data/api/parsed/opendap/stdmet.nc differ diff --git a/tests/data/api/parsed/opendap/swden.nc b/tests/data/api/parsed/opendap/swden.nc index 7152473..efca887 100644 Binary files a/tests/data/api/parsed/opendap/swden.nc and b/tests/data/api/parsed/opendap/swden.nc differ diff --git a/tests/data/api/parsed/opendap/wlevel.nc b/tests/data/api/parsed/opendap/wlevel.nc index 7152473..efca887 100644 Binary files a/tests/data/api/parsed/opendap/wlevel.nc and b/tests/data/api/parsed/opendap/wlevel.nc differ diff --git a/tests/test_ndbc_api.py b/tests/test_ndbc_api.py index f522774..59fa61c 100644 --- a/tests/test_ndbc_api.py +++ b/tests/test_ndbc_api.py @@ -208,7 +208,7 @@ def test_get_data(ndbc_api, monkeypatch, mock_socket, read_responses, use_timestamp=True, as_df=True, cols=None, - ) + ).reset_index(level='station_id', drop=True) pd.testing.assert_frame_equal( want[TEST_START:TEST_END].sort_index(axis=1), got[TEST_START:TEST_END].sort_index(axis=1), @@ -225,7 +225,7 @@ def test_get_data(ndbc_api, monkeypatch, mock_socket, read_responses, use_timestamp=True, as_df=True, cols=limited_cols, - ) + ).reset_index(level='station_id', drop=True) pd.testing.assert_frame_equal( want[TEST_START:TEST_END].sort_index(axis=1), got[TEST_START:TEST_END].sort_index(axis=1), @@ -241,7 +241,7 @@ def test_get_data(ndbc_api, monkeypatch, mock_socket, read_responses, end_time=TEST_END, use_timestamp=True, as_df=True, - ) + ).reset_index(level='station_id', drop=True) pd.testing.assert_frame_equal( want[TEST_START:TEST_END].sort_index(axis=1), got[TEST_START:TEST_END].sort_index(axis=1), @@ -267,19 +267,6 @@ def test_get_data(ndbc_api, monkeypatch, mock_socket, read_responses, use_timestamp=True, as_df=True) - handler = ndbc_api._handler - ndbc_api._handler = None - with pytest.raises(ResponseException): - _ = ndbc_api.get_data( - station_id=globals()[f'TEST_STN_{name.upper()}'], - mode=name, - start_time=TEST_START, - end_time=TEST_END, - use_timestamp=True, - as_df=True, - cols=None, - ) - ndbc_api._handler = handler with pytest.raises(ParserException): _ = ndbc_api.get_data( station_id=globals()[f'TEST_STN_{name.upper()}'], @@ -290,7 +277,7 @@ def test_get_data(ndbc_api, monkeypatch, mock_socket, read_responses, as_df=True, cols=['FOOBAR'], ) - with pytest.raises(ResponseException): + with pytest.raises(RequestException): _ = ndbc_api.get_data( station_id=globals()[f'TEST_STN_{name.upper()}'], mode='foo', @@ -406,32 +393,3 @@ def test_handle_data(ndbc_api, read_parsed_df): assert isinstance(want, dict) assert isinstance(got, dict) assert len(want.keys()) == len(got.keys()) - - -@pytest.mark.private -def test_handle_accumulate_data(ndbc_api): - accumulated_data_dict = [({ - 'col1': [1, 2], - 'col2': [3, 4] - }, 'a'), ({ - 'col1': [-1, -2], - 'col2': [-3, -4] - }, 'b')] - accumulated_data_df = [(pd.DataFrame(data), station_id) - for data, station_id in accumulated_data_dict] - got_no_id = ndbc_api._handle_accumulate_data(accumulated_data_df, - station_id_as_column=False) - got_with_id = ndbc_api._handle_accumulate_data(accumulated_data_df, - station_id_as_column=True) - assert isinstance(got_no_id, pd.DataFrame) - assert isinstance(got_with_id, pd.DataFrame) - assert got_no_id.shape[0] == got_with_id.shape[0] - assert got_no_id.shape[1] != got_with_id.shape[1] # we have an extra column - - got_no_id = ndbc_api._handle_accumulate_data([accumulated_data_dict[0]], - station_id_as_column=False) - got_with_id = ndbc_api._handle_accumulate_data(accumulated_data_dict, - station_id_as_column=True) - assert isinstance(got_no_id, dict) - assert isinstance(got_with_id, dict) - assert len(set(got_no_id.keys()) & set(got_with_id.keys())) == 0 diff --git a/tests/utilities/opendap/test_dataset.py b/tests/utilities/opendap/test_dataset.py index 34ed6df..586b8b7 100644 --- a/tests/utilities/opendap/test_dataset.py +++ b/tests/utilities/opendap/test_dataset.py @@ -1,13 +1,12 @@ from datetime import datetime import pytest -import netCDF4 as nc +import xarray -from ndbc_api.utilities.opendap.dataset import ( - join_netcdf4, - filter_netcdf4_by_variable, - filter_netcdf4_by_time_range -) +from ndbc_api.utilities.opendap.dataset import (concat_datasets, + merge_datasets, + filter_dataset_by_variable, + filter_dataset_by_time_range) from tests.api.parsers.opendap._base import PARSED_TESTS_DIR STDMET_TEST_FP = PARSED_TESTS_DIR.joinpath('stdmet.nc') @@ -16,34 +15,20 @@ @pytest.fixture def parsed_stdmet(): - ds = nc.Dataset(STDMET_TEST_FP, 'r') + ds = xarray.open_dataset(STDMET_TEST_FP) yield ds @pytest.fixture def parsed_cwind(): - ds = nc.Dataset(CWIND_TEST_FP, 'r') + ds = xarray.open_dataset(CWIND_TEST_FP) yield ds @pytest.mark.slow -def test_join_netcdf4(parsed_stdmet, parsed_cwind): - got = join_netcdf4([parsed_stdmet, parsed_cwind]) - assert set(parsed_stdmet.variables).issubset(set(got.variables)), 'not all variables in first input are in output' - assert set(parsed_stdmet.variables).issubset(set(got.variables)), 'not all variables in the second input are in output' - -@pytest.mark.slow -def test_filter_netcdf4_by_variable(parsed_stdmet): - want = 'time' - got = filter_netcdf4_by_variable(parsed_stdmet, [want]) - assert got.variables[want] is not None - -@pytest.mark.slow -def test_filter_netcdf4_by_time_range(parsed_stdmet): - want_start = int(parsed_stdmet.variables['time'][50].data) - want_end = int(parsed_stdmet.variables['time'][100].data) - want_start_dt = datetime.utcfromtimestamp(want_start) - want_end_dt = datetime.utcfromtimestamp(want_end) - got = filter_netcdf4_by_time_range(parsed_stdmet, start_time=want_start_dt, end_time=want_end_dt) - assert got.variables['time'][0].data == want_start, 'filtered dataset does not have the correct start time' - assert got.variables['time'][-1].data == want_end, 'filtered dataset does not have the correct end time' +def test_merge_datasets(parsed_stdmet, parsed_cwind): + got = merge_datasets([parsed_stdmet, parsed_cwind]) + assert set(parsed_stdmet.variables).issubset(set( + got.variables)), 'not all variables in first input are in output' + assert set(parsed_stdmet.variables).issubset(set( + got.variables)), 'not all variables in the second input are in output'