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Better looking tables for matplotlib

Project description

Better Looking Universal Matplotlib Engine.

Blume provides a replacement for the matplotlib table module.

Displaying data as tables in matplotlib.

It fixes a number of issues with the existing table and has:

  • more reliable code for automatically setting the font size to make best use of the space available.

  • Padding between text and the cell edges which works better across a range of text sizes.

  • First row of cell data is now row 0 regardless of whether the table has a row header. The row header is row -1.

  • New options to allow cell edge colours to be specified.

To use the new table, just import blume.table and use that to create your tables instead of the matplotlib.table.table.

from blume import table

tab = table(ax, ..)

The first parameter to table should be an matplotlib.axes.

If you are using the pyplot interface, note that calling pyplot.table will use matplotlib.table.table.

Instead import table from blume and use as follows:

from blume.table import table
tab = table(plt.gca(), ...)


Using pip:

pip3 install blume


The examples folder has a number of demonstrations of what can be done with this table.


Run tests using:

pytest tests

Image comparison tests


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