Create a PNG table image from a Pandas Dataframe

png_from_pandas_df.md

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd


data = {'  A  ': [0, 0, 0.012, 0, 0, 0, 0],
        '  B  ': [0.1, 0, 0.035, 0.12, 0, 0, 0],
        '  C  ': [0, 0, 0, 0, 0.5, 0, 0.2],
        '  D  ': [0, 0.23, 0, 0, 0, 0, 0.33],
        '  E  ': [0, 0.1, 0, 0.6, 0.9, 0.2, 0],
        '  F  ': [0, 0, 0.78, 0, 0, 0, 0.31],
        '  G  ': [0, 0.15, 0, 0, 0, 0.4, 0]}
df = pd.DataFrame(data)

columns = df.columns

# These are the same values than 'columns'
rows = [r for r in columns]

# Get some pastel shades for the colors
colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
print(colors)

# Plot bars and create text labels for the table
cell_text = []

# Take a look that data is extracted from the Pandas df
for row in df.to_numpy():
    cell_text.append([x for x in row])

# Reverse colors and text labels to display the last value at the top.
colors = colors[::-1]

# Add a table at the bottom of the Axes
the_table = plt.table(cellText=cell_text,
                      rowLabels=rows,
                      rowColours=colors,
                      colLabels=columns,
                      colColours=colors,
                      loc='center')
the_table.scale(2, 2)

plt.title('Some Data Matrix')
plt.axis('off')

# If you want to save the table to disk...
plt.savefig('/some/local/directory/table_matrix.png', bbox_inches='tight')

# If you want to show the matrix table in a REPL capable of rendering...
plt.show()