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Create custom table using matplotlib.

Project description

MPL Table

Create a table with row explanations, column headers, using matplotlib. Intended usage was a small table containing a custom heatmap.

Installation

pip install mpl-table

Usage

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. You'll probably want to use bbox_inches="tight" when you fig.savefig.

Example output

Table with row headers:

Example output table.

Table in subplots:

Example output in subplots.

Table with no row headers:

Example output table without row headers.

Table with no row or column headers:

Example output table without row or column headers.

Why

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).

TODO

Simplify creating a table without any row-headers.

Consider makign the spacing for rows/cols dynamic, based on figsize might work.

Usage within subplots, wasn't required for what was needed, but there could be some use in having subplots with these tables.

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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