Highlights

Streamlined generation of quantitative metadata indicators from timeseries data using set_meta_from_data()
Better support for accessing public and private IIASA scenario explorer databases via the REST API
More extensive documentation of the pyam data model and the IAMC format
Compatible with recent pandas v0.25

Individual Updates

#277 Restructure and extend the docs pages, switch to RTD-supported theme
#275 Completely removes all features related to region plotting, notably region_plot() and read_shapefile()
#270 Include variables with zeros in stack_plot (see #266)
#269 Ensure append doesn't accidentally swap indexes
#268 Update aggregate_region so it can find variables below sub-cateogories too
#267 Make clear error message if variable-region pair is missing when check_aggregate_region is called
#261 Add a check that keep in filter() is a boolean
#254 Hotfix for aggregating missing regions and filtering empty dataframes
#243 Update pyam.iiasa.Connection to support all public and private database connections. DEPRECATED: the argument 'iamc15' has been deprecated in favor of names as queryable directly from the REST API.
#241 Add set_meta_from_data feature
#236 Add swap_time_for_year method and confirm datetime column is compatible with pyam features
#273 Fix several issues accessing IXMP API (passing correct credentials, improve reliability for optional fields in result payload)

Assets 2

10 May 12:44

gidden

v0.2.0

a73fc6a

New Version: 0.2.0

Release v0.2.0

Highlights

the filters argument in IamDataFrame.filter() has been deprecated
pd.date_time now has experimental supported for time-related columns
plots now support the official IPCC scenario color palatte
native support for putting legends outside of plot axes
dataframes can now be initialized with default values, making reading raw
datasets easier

Individual Updates

#228 Update development environment creation instructions and make pandas requirement more specific
#219 Add ability to query metadata from iiasa data sources
#214 Tidy up requirements specifications a little
#213 Add support for IPCC colors, see the new tutorial "Using IPCC Color Palattes"
#212 Now natively support reading R-style data frames with year columns like "X2015"
#207 Add a aggregate_region() function to sum a variable from subregions and add components that are only defined at the region level
#202 Extend the df.rename() function with a check_duplicates (default True) validation option
#201 Added native support for legends outside of plots with pyam.plotting.OUTSIDE_LEGEND with a tutorial
#200 Bugfix when providing cmap and color arguments to plotting functions
#199 Initializing an IamDataFrame accepts kwargs to fill or create from the data any missing required columns
#198 Update stack plot functionality and add aggregation tutorial. Also adds a copy method to IamDataFrame.
#197 Added a normalize function that normalizes all data in a data frame to a specific time period.
#195 Fix filtering for time, day and hour to use generic pattern_match() (if such a column exists) in 'year'-formmatted IamDataFrames
#192 Extend utils.find_depth() to optionally return depth (as list of ints) rather than assert level tests
#190 Add concat() function
#189 Fix over-zealous dropna() in scatter()
#186 Fix over-zealous dropna() in line_plot(), rework as_pandas() to (optionally) discover meta columns to be joined
#178 Add a kwarg append to the function rename(), change behaviour of mapping to only apply to data where all given columns are matched
#177 Modified formatting of time column on init to allow subclasses to avoid pandas limitation (https://stackoverflow.com/a/37226672)
#176 Corrected title setting operation in line_plot function
#175 Update link to tutorial in readme.md
#174 Add a function difference() to compare two IamDataFrames
#171 Fix a bug when reading from an ixmp.TimeSeries object, refactor to mitigate circular dependency
#162 Add a function to sum and append timeseries components to an aggregate variable
#152 Fix bug where scatter plots did not work with property metadata when using two variables (#136, #152)
#151 Fix bug where excel files were not being written on Windows and MacOSX (#149)
#145 Support full semantic and VCS-style versioning with versioneer
#132 support time columns using the datetime format and additional str columns in data