Tutorials

All tutorials currently use the IAMC template for yearly data, but pyam also supports timeseries data with a sub-annual resolution. Please read the Data Model section for more information.

The source code is available in the folder doc/source/tutorials of the pyam GitHub repository.

• First steps with the pyam package
• Importing various data table formats
• Read directly from IIASA data resources
• Read directly from the UNFCCC Data Inventory
• Importing results from a GAMS model to an IamDataFrame
• Performing unit conversions
• Aggregating and downscaling timeseries data
• Algebraic operations on timeseries data
• Aggregating subannual timeseries data
• Using IPCC Color Palettes
• Customizing legends
• Plotting aggregate variables
• Make our Logo!