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Merge pull request #8 from Evapotranspiration/dev
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up-to-date with pandas
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mullenkamp authored Nov 6, 2024
2 parents cea08e7 + a1b565b commit e7ca0e2
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65 changes: 65 additions & 0 deletions .github/workflows/build.yml
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name: Build

on: [push, pull_request]

jobs:
test:

runs-on: ubuntu-latest
strategy:
matrix:
python_version: ['3.8', '3.9', '3.10']

steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python_version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install hatch
hatch env create
- name: Lint and typecheck
run: |
hatch run lint-check
- name: Test
run: |
hatch run test-cov-xml
- uses: codecov/codecov-action@v3
with:
token: ${{ secrets.CODECOV_TOKEN }}
fail_ci_if_error: true
verbose: true

release:
runs-on: ubuntu-latest
needs: test
if: startsWith(github.ref, 'refs/tags/')

steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Install dependencies
shell: bash
run: |
python -m pip install --upgrade pip
pip install hatch
- name: Build and publish on PyPI
env:
HATCH_INDEX_USER: ${{ secrets.HATCH_INDEX_USER }}
HATCH_INDEX_AUTH: ${{ secrets.HATCH_INDEX_AUTH }}
run: |
hatch build
hatch publish
- name: Create release
uses: ncipollo/release-action@v1
with:
draft: true
body: ${{ github.event.head_commit.message }}
artifacts: dist/*.whl,dist/*.tar.gz
token: ${{ secrets.GITHUB_TOKEN }}
56 changes: 56 additions & 0 deletions .github/workflows/documentation.yml
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name: Build documentation

on:
push:
branches:
- main

# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
permissions:
contents: read
pages: write
id-token: write

# Allow one concurrent deployment
concurrency:
group: "pages"
cancel-in-progress: true

# Default to bash
defaults:
run:
shell: bash

jobs:
build:

runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install hatch
hatch env create
- name: Build
run: hatch run docs-build
- name: Upload artifact
uses: actions/upload-pages-artifact@v1
with:
path: ./site

deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
needs: build
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v1
33 changes: 33 additions & 0 deletions .github/workflows/test.yml
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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: Python testing

on:
push:
branches: [ dev ]
pull_request:
branches: [ master ]

jobs:
build:

runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.8', '3.9', '3.10', '3.11']

steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install flake8 pytest
if [ -f requirements_tests.txt ]; then pip install -r requirements_tests.txt; fi
- name: Test with pytest
run: |
pytest
29 changes: 0 additions & 29 deletions .travis.yml

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2 changes: 1 addition & 1 deletion README.rst
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Expand Up @@ -3,7 +3,7 @@ ETo - A Python package for calculating reference evapotranspiration

The ETo package contains a class and associated functions to calculate reference evapotranspiration (ETo) using the `UN-FAO 56 paper <http://www.fao.org/docrep/X0490E/X0490E00.htm>`_. Additional functions have been added to calculate historic ETo or potential evapotranspiration (PET) for comparison purposes.

A parameter estimation function has also been added to the base class to convert most any variety of metereological parameter inputs to the necessary parameters needed to calculate ETo.
A parameter estimation function has also been added to the base class to convert most any variety of meterological parameter inputs to the necessary parameters needed to calculate ETo.

Documentation
--------------
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12 changes: 0 additions & 12 deletions ci/travis/35-defaults.yaml

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12 changes: 0 additions & 12 deletions ci/travis/36-defaults.yaml

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12 changes: 0 additions & 12 deletions ci/travis/37-defaults.yaml

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6 changes: 3 additions & 3 deletions conda/meta.yaml
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@@ -1,6 +1,6 @@
{% set name = "ETo" %}
{% set version = "1.1.0" %}
{% set sha256 = "1c13f17a480d9c0fbf15001ec0beb4ec88b1417899194670a586603c566174c0" %}
{% set version = "1.1.1" %}
# {% set sha256 = "1c13f17a480d9c0fbf15001ec0beb4ec88b1417899194670a586603c566174c0" %}

# sha256 is the prefered checksum -- you can get it for a file with:
# `openssl sha256 <file name>`.
Expand All @@ -17,7 +17,7 @@ source:
# If getting the source from GitHub remove the line above
# uncomment the line below and modify as needed
# url: https://github.com/simplejson/{{ name }}/archive/{{ version }}.tar.gz
sha256: {{ sha256 }}
# sha256: {{ sha256 }}

build:
# Uncomment the following line if the package is pure python and the recipe is exactly the same for all platforms.
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2 changes: 2 additions & 0 deletions eto/__init__.py
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@@ -1,3 +1,5 @@
from eto.core import ETo
import eto.datasets
import eto.methods

__version__ = '1.1.1'
7 changes: 3 additions & 4 deletions eto/core.py
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Expand Up @@ -33,7 +33,7 @@ def __init__(self, df=None, freq='D', z_msl=None, lat=None, lon=None, TZ_lon=Non
def tsreg(ts, freq=None, interp=False, maxgap=None):
"""
Function to regularize a time series object (pandas).
The first three indeces must be regular for freq=None!!!
The first three indexes must be regular for freq=None!!!
Parameters
----------
Expand All @@ -43,13 +43,12 @@ def tsreg(ts, freq=None, interp=False, maxgap=None):
Either specify the known frequency of the data or use None and
determine the frequency from the first three indices.
interp : str
Interpolation method.
Interpolation method fro the pandas interpolate method.
Returns
-------
DataFrame
"""

if freq is None:
freq = pd.infer_freq(ts.index[:3])
ts1 = ts.resample(freq).mean()
Expand All @@ -58,9 +57,9 @@ def tsreg(ts, freq=None, interp=False, maxgap=None):

return ts1


### Add in the ETo methods and other functions
ETo.param_est = param_est
ETo.eto_fao = eto_fao
ETo.eto_hargreaves = hargreaves
ETo.copy = copy

4 changes: 2 additions & 2 deletions eto/datasets/__init__.py
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Expand Up @@ -4,7 +4,7 @@
__all__ = ['available', 'get_path']

_module_path = os.path.dirname(__file__)
_available_csv = {p.split('.')[0]: p for p in os.listdir(_module_path) if p.endswith('.csv')}
_available_csv = {p.split('.')[0]: p for p in os.listdir(_module_path) if p.endswith('.csv.zip')}
available = list(_available_csv.keys())


Expand All @@ -23,5 +23,5 @@ def get_path(dataset):
return os.path.abspath(
os.path.join(_module_path, _available_csv[dataset]))
else:
msg = "The dataset '{data}' is not available".format(data=dataset)
msg = f"The dataset '{dataset}' is not available"
raise ValueError(msg)
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