Python API Tutorial

The interactive tutorial below demonstrates the full Python API using real summary statistics data. It covers data loading, single- and multi-track linear Manhattan plots, circular Manhattan plots, liftover, and the hits summary table.

Note

The notebook is rendered statically here. To run it interactively, download it from the GitHub repository and open it in Jupyter:

jupyter notebook pycmplot_python_api.ipynb

• Python API for the pycmplot package
  • Installation
  • Import the package functions
  • Getting help
• Example plotting
  • Important notes
  • Generating a linear plot
  • Generating a linear plot
  • Highlighting significant loci and annotating by SNP
  • Generating circular plots
  • Ensuring all highlighted loci are also annotated
  • # Handling other use cases and QQ-plots
  • Summary stats without BUILD column and no build information provided
  • ## Supplying builds with summary stats
  • ## QQ-Plotting
  • # Final Notes