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Showing content from https://github.com/geo7/mpl_table below:

geo7/mpl_table: Create custom table using matplotlib.

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.

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