Create a table with row explanations, column headers, using matplotlib. Intended usage was a small table containing a custom heatmap.
pip install mpl-table
Example usage can be found within tests/test_create_table.py, the table is created by
passing dataframes containing text values, cell colour values, and text colour values. A difference with many plotting libraries is that configuration is done using a config object, rather than having lots of kwargs in the function call. When writing the plot out you'll probably want to use bbox_inches="tight" with fig.savefig.
Table with row headers:
Table in subplots (without row or column headers):
Table with no row headers:
Wanted to be able to create tables containing heatmaps, along with row explanations and
different treatment of high/low values for each row. For some rows the formatting of
100% should be considered positive (typically green), whereas others it should be
considered negative (typically
red).
- Simplify creating a table without any row-headers.
- Consider makign the spacing for rows/cols dynamic, based on figsize might work.
- Different styles - might want to have the header row / row information column without any background colour, or similar stylings. Shouldn't be hard to do from what's here, just hasn't been done.