pip install plottable
from plottable import Table
d = pd.DataFrame(np.random.random((10, 5)), columns=["A", "B", "C", "D", "E"]).round(2)
fig, ax = plt.subplots(figsize=(5, 8))
tab = Table(d)
plt.show()
By supplying keywords to the Table
Providing a ColumnDefinition for each column you want to style
Accessing a tables rows or columns
Contributing#
Contributors are very welcome to this project.
Please take a look at the Contributor Guide
Credits#
plottable is built for the lack of good table packages in the python ecosystem.
It draws inspiration from R packages gt and reactable, from blog posts about creating tables in matplotlib Tim Bayer: How to create custom tables and Son of a corner: Beautiful Tables in Matplotlib, a Tutorial and from matplotlibs own table module.
Documentation:
Styling a Table

Column Definitions
Textprops
Cell Keywords
Row Divider Lines
Column Border Keywords
Row Colors
Using ColumnDefinition

Setting Column Titles
Setting Column Widths
Setting Column Textprops
Providing a Text Formatter
Providing a cmap function
Providing a text_cmap function
Providing a group argument
Providing a plot function
Providing a border argument
Plotting onto Column Cells

Creating Custom Plot Functions
Available Plots
percentile_bars
image
circled_image
circled_image with border
bar with value annotation and linecolor
percentile_stars
progress_donut
Using ColorMaps
Using Text Formatters

Creating your own formatters
Builtin String Formatters
Using Font ColorMaps

Auto-Coloring of text
Accessing Rows and Columns
Example Notebooks:
Basic Example

Alternating Row Colors
Women’s World Cup Example
Bohndesliga Table Style

Imports
Getting the data
Data Processing
Building the Bohndesliga Table
Plots Example

Table Example with plots
Heatmap Example
Development:
Contributor Guide

Code Formatting
Changelog
0.1.5
0.1.4
0.1.3
0.1.2

Fixed
Documentation