IAMconsortium/pyam: Release v0.3.0

Release v0.3.0 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

• #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)