Tutorials

Jupyter notebooks

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!

Workshops and recordings

The Energy, Climate and Environment program (ECE) at IIASA is regularly holding workshops and trainings for the pyam package. You can find recordings of these workshops and related material at `https://teaching.ece.iiasa.ac.at/pyam.html`_.