Legend Size in Matplotlib

Legend Size in Matplotlib

Matplotlib is a popular Python library for creating static, animated, and interactive visualizations in Python. Legends in Matplotlib provide a key for all the elements of the plot. In this article, we will explore how to adjust the size of the legend in Matplotlib to make our plots more readable and visually appealing.

Adjusting Legend Size

Example 1: Basic legend with default size

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend()
plt.show()

Output:

Legend Size in Matplotlib

Example 2: Increasing legend size

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(prop={'size': 15})
plt.show()

Output:

Legend Size in Matplotlib

In Example 1, we have a basic legend with the default size. In Example 2, we have increased the size of the legend using the prop parameter to make it more visible.

Example 3: Changing legend font size

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(fontsize=12)
plt.show()

Output:

Legend Size in Matplotlib

Example 4: Setting legend title size

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(title='Legend', title_fontsize=14)
plt.show()

Output:

Legend Size in Matplotlib

In Example 3, we changed the font size of the legend text. In Example 4, we set the title of the legend and adjusted its size.

Example 5: Customizing legend box

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(borderpad=1, borderaxespad=1, loc='upper left')
plt.show()

Output:

Legend Size in Matplotlib

Example 6: Changing legend background color

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(facecolor='skyblue')
plt.show()

Output:

Legend Size in Matplotlib

In Example 5, we customized the legend box by adjusting the padding and location. In Example 6, we changed the background color of the legend to make it stand out.

Advanced Legend Customization

Example 7: Modifying legend label spacing

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(labelspacing=1.5)
plt.show()

Output:

Legend Size in Matplotlib

Example 8: Adjusting legend item height

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(handleheight=2)
plt.show()

Output:

Legend Size in Matplotlib

In Example 7, we modified the spacing between legend labels. In Example 8, we adjusted the height of the legend items.

Example 9: Changing legend title position

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(title='Legend', title_loc='left')
plt.show()

Example 10: Rotating legend labels

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, label='Prime Numbers')
plt.legend(labelrotation=45)
plt.show()

In Example 9, we changed the position of the legend title to the left. In Example 10, we rotated the legend labels by 45 degrees for better readability.

Conclusion

Adjusting the size of the legend in Matplotlib can greatly enhance the appearance of your plots. By customizing various aspects of the legend, such as size, font, color, and spacing, you can create professional-looking visualizations that effectively communicate your data. Experiment with the examples provided in this article to find the best settings for your plots.

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