jupyter-interactive

Initialise a Jupyter notebook with useful extensions and reasonable defaults.

Usage

%load_ext jupyter_interactive

Features

• Enable autoimport of missing modules.
• Enable the %autoreload keyword to reload all modules in the current session.
• Enable the %%R and %%coconut magic to execute specific cells using R and Coconut.
• Configure plot output formatting:
  • Display Matplotlib plots as interactive, resizable widgets (using ipympl).
  • Display Matplotlib plots at a higher resolution.
  • Zoom in and out of Plotly figures using the mouse scroll wheel and/or two-finger scrolling.
  • Download Plotly figures at their currently rendered size.
  • Ensure that dragging Plotly figures results in panning (rather than zooming).
• Configure the output formatting of dataframes:
  • Display dataframes as interactive HTML tables (using itables).
  • Increase the table size limit to 8 MiB.
  • Adjust default colours for better contrast.
  • Display cell contents in a monospace font.
  • Extend the range of available table lengths.
  • Make Polars dataframes output Markdown when printed.
  • Show all dataframe columns, even if there are many of them.
• Try to make results reproducible by setting the seed for the built-in random module, NumPy, and, if available, PyTorch and Tensorflow.