matplotlib tables

There is an option in matplotlib to create tables and save them as images - matplotlib.axes._axes.Axes.table.

This page contains some examples I’ve collected.

import pandas as pd
import matplotlib.pyplot as plt

From pandas

There is an example of turning pandas.DataFrame into a picture.

df = pd.DataFrame({'Column1': ['Cat', 'Dog', 'Monkey'],
                   'Column2': ['Penguin', 'Cat', 'Dog']})

fig, ax = plt.subplots(figsize=(4, 2))
table = ax.table(
    cellText=df.values, 
    colLabels=df.columns, 
    cellLoc='center', 
    loc='center'
)
table.auto_set_font_size(False)
table.set_fontsize(12)
table.scale(1, 1.5)

ax.axis('off')

plt.show()

Colorful table

You can setup colors for the table by using:

• rowColours - for colors of the index of the table;

• colColours - for colors of the header of the table;

• cellColours - for colors of the content of the table.

width=10;height=10; 

columns = ["{:X}".format(i) for i in range(width)] 
rows = ["{:02X}".format(10 * i) for i in range(height)] 

content = [
    [f"{c}, {r}" for c in range(width)] 
    for r in range(height)
]
colors = [
    [(c/width, r/height, 0.5) for c in range(width)] 
    for r in range(height)
] 
  
fig, ax = plt.subplots() 
ax.set_axis_off() 
table = ax.table( 
    cellText = content,  
    rowLabels = rows,  
    colLabels = columns, 
    rowColours =["red"] * 10,  
    colColours =["palegreen"] * 10,
    cellColours=colors,
    cellLoc ='center',  
    loc ='upper left'
)         
  
ax.set_title(
    'matplotlib.axes.Axes.table() function Example', 
    fontweight ="bold"
) 
  
plt.show()