TutorialsΒΆ

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!

Logo

pyam

analysis and visualization
of integrated-assessment
& macro-energy scenarios

Navigation

  • Installation
  • Authors and Developers
  • Support and Contributing
  • Data Model
  • Tutorials
    • 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!
  • Plotting Gallery
  • API Reference
  • Integration with R
  • Scientific references

Quick search

©2017-2022, IIASA and the pyam developer team. | Powered by Sphinx 5.1.1 & Alabaster 0.7.12 | Page source