Creating custom style sheets in Matplotlib

Introduction

Custom style sheets help you make your charts look the same every time without repeating code. They save time and keep your visuals consistent.

You want all your charts in a report to have the same colors and fonts.

You need to share your chart style with teammates so everyone uses the same look.

You want to quickly switch between different chart looks for presentations.

You create many charts and want to avoid writing style code again and again.

Syntax

Matplotlib

[style_name]
key1: value1
key2: value2
...

Style sheets are simple text files with sections named by [style_name].

Each line sets a style property like color or font using key: value format.

Examples

This style sets line width to 2, line color to red, and title size to 14 points.

Matplotlib

[my_style]
lines.linewidth: 2
lines.color: red
axes.titlesize: 14

This style makes the figure background light gray, shows grid lines, and sets font size to 12.

Matplotlib

[cool_style]
figure.facecolor: lightgray
axes.grid: True
font.size: 12

Sample Program

This code creates a custom style sheet file with green thick lines and bigger titles. Then it uses that style to draw a simple line chart. Finally, it prints a confirmation message.

Matplotlib

import matplotlib.pyplot as plt
import matplotlib as mpl

# Create a custom style sheet file
style_content = '''
[custom_style]
lines.linewidth: 3
lines.color: green
axes.titlesize: 16
axes.labelsize: 14
figure.facecolor: #f0f0f0
'''

# Save the style sheet to a file
with open('custom_style.mplstyle', 'w') as f:
    f.write(style_content)

# Use the custom style
with mpl.style.context('custom_style.mplstyle'):
    plt.plot([1, 2, 3], [4, 5, 6])
    plt.title('Chart with Custom Style')
    plt.xlabel('X axis')
    plt.ylabel('Y axis')
    plt.show()

# Print confirmation
print('Custom style applied and plot shown.')

Important Notes

You can create many style sheets and switch between them easily.

Style sheets can control colors, fonts, line widths, grid, and more.

Save style files with .mplstyle extension and load them with mpl.style.context.

Summary

Custom style sheets keep your charts consistent and save time.

They are simple text files with style settings in key: value format.

You can create, save, and apply styles easily using matplotlib.