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Published May 10, 2019 | Version v0.2.0
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IAMconsortium/pyam: New Version: 0.2.0

  • 1. International Institute for Applied Systems Analysis (IIASA)
  • 2. IIASA
  • 3. Australian-German Climate & Energy College, School of Earth Sciences, University of Melbourne
  • 4. University of Lausanne
  • 5. @spacetelescope

Description

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

Files

IAMconsortium/pyam-v0.2.0.zip

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