Release v0.4.0

Release v0.4.0

Highlights

• New feature: downscale regional timeseries data to subregions using a proxy variable
• Improved features for aggregation by sectors and regions: support weighted-average, min/max, etc.
  (including a reworked tutorial)
• Streamlined I/O: include meta table when reading from/writing to xlsx files
• Standardized logger behaviour

API changes

PR #305 changed the default behaviour of aggregate_region() regarding the treatment of components at the region-level. To keep the previous behaviour, add components=True.

PR #315 changed the return type of aggregate() and aggregate_region() to an IamDataFrame instance. To keep the previous behaviour, add timeseries().
The object returned by check_aggregate() and check_aggregate_region() now includes both the actual and the expected value as a pd.DataFrame instance.
The function check_internal_consistency() now returns a concatenated dataframe rather than a dictionary and also includes optional treatment of components (see paragraph above). To keep the previous behaviour, add components=True.

Individual Updates

• #315 Add equals() feature, change return types of [check_]aggregate[_region](), rework aggregation tutorial
• #314 Update IPCC color scheme colors and add SSP-only colors
• #313 Add feature to downscale timeseries data to subregions using another variable as proxy
• #312 Allow passing list of variables to aggregate functions
• #305 Add method and weight options to the (region) aggregation functions
• #302 Rework the tutorials
• #301 Bugfix when using to_excel() with a pd.ExcelWriter
• #297 Add empty attribute, better error for timeseries() on empty dataframe
• #295 Include meta table when writing to or reading from xlsx files
• #292 Add warning message if data is empty at initialization (after formatting)
• #288 Put pyam logger in its own namespace (see here)
• #285 Add ability to fetch regions with synonyms from IXMP API