How to adjust the size of matplotlib legend box

How to adjust the size of matplotlib legend box

You can adjust the size of the legend box in Matplotlib by using the bbox_to_anchor parameter in the legend() function. This parameter allows you to specify the position of the legend box relative to the axes, and you can use it to control the size of the legend box as well. Here's how you can adjust the size of the legend box:

import matplotlib.pyplot as plt

# Sample data
x = [1, 2, 3, 4]
y1 = [2, 4, 6, 8]
y2 = [1, 3, 5, 7]

# Create a figure and axis
fig, ax = plt.subplots()

# Plot data
ax.plot(x, y1, label='Line 1')
ax.plot(x, y2, label='Line 2')

# Add a legend with a custom legend box size
legend = ax.legend(loc='upper right', bbox_to_anchor=(1.2, 1.0))

# Set the legend box size (width, height)
legend.get_frame().set_linewidth(2)  # Adjust the border width
legend.get_frame().set_edgecolor('blue')  # Adjust the border color
legend.get_frame().set_facecolor('lightgray')  # Adjust the background color

plt.show()

In this example:

  1. We create a figure and axis using plt.subplots().

  2. We plot two lines on the axis and add labels for each line using the label parameter.

  3. We add a legend to the plot using ax.legend(), specifying its location with loc.

  4. To adjust the size of the legend box, we use the bbox_to_anchor parameter, which allows us to control the position of the legend box relative to the axes. In this case, we set it to (1.2, 1.0), which moves the legend box to the right of the axes.

  5. We further customize the legend box by adjusting the border width, border color, and background color using the legend.get_frame() methods.

By adjusting the bbox_to_anchor and customizing the legend box properties, you can control the size and appearance of the legend box in your Matplotlib plots.

Examples

  1. How to change the size of legend box in Matplotlib? Description: This query focuses on adjusting the size of the legend box in Matplotlib plots, which can help improve the overall aesthetics and readability of the plot.

    import matplotlib.pyplot as plt

# Plotting code
plt.plot([1, 2, 3], label='Line 1')
plt.plot([3, 2, 1], label='Line 2')
plt.legend(fontsize='large', frameon=True)
plt.show()

  2. How to resize legend box in Matplotlib plot? Description: This query seeks methods to resize the legend box in Matplotlib plots, allowing users to adjust its dimensions according to their preferences.

    import matplotlib.pyplot as plt

# Plotting code
plt.plot([1, 2, 3], label='Line 1')
plt.plot([3, 2, 1], label='Line 2')
plt.legend(fontsize='large', frameon=True, bbox_to_anchor=(1.05, 1), loc='upper left')
plt.show()

  3. How to adjust legend box size in Matplotlib to fit content? Description: This query focuses on resizing the legend box dynamically to fit the content of the legend items, preventing any overlap or cutoff.

    import matplotlib.pyplot as plt

# Plotting code
plt.plot([1, 2, 3], label='Line 1')
plt.plot([3, 2, 1], label='Line 2')
plt.legend(fontsize='large', frameon=True, bbox_to_anchor=(1.05, 1), loc='upper left')
plt.tight_layout()
plt.show()

  4. How to change legend box size in Matplotlib without changing font size? Description: This query addresses changing the size of the legend box without affecting the font size of the legend items, allowing for separate customization.

    import matplotlib.pyplot as plt

# Plotting code
plt.plot([1, 2, 3], label='Line 1')
plt.plot([3, 2, 1], label='Line 2')
plt.legend(fontsize='large', frameon=True, bbox_to_anchor=(1.05, 1), loc='upper left')
plt.show()

  5. How to adjust legend box dimensions in Matplotlib subplot? Description: This query focuses on adjusting the dimensions of the legend box within a subplot in Matplotlib, ensuring it fits appropriately within the subplot layout.

    import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.plot([1, 2, 3], label='Line 1')
ax.plot([3, 2, 1], label='Line 2')
ax.legend(fontsize='large', frameon=True)
plt.show()

  6. How to resize legend box without changing label size in Matplotlib? Description: This query specifically addresses resizing the legend box while keeping the size of the labels unchanged in Matplotlib plots.

    import matplotlib.pyplot as plt

# Plotting code
plt.plot([1, 2, 3], label='Line 1')
plt.plot([3, 2, 1], label='Line 2')
plt.legend(fontsize='large', frameon=True)
plt.show()

  7. How to adjust legend box dimensions in Matplotlib scatter plot? Description: This query pertains to adjusting the size of the legend box in Matplotlib scatter plots, ensuring it remains visible and aesthetically pleasing.

    import matplotlib.pyplot as plt

# Scatter plot code
plt.scatter([1, 2, 3], [4, 5, 6], label='Scatter Points')
plt.legend(fontsize='large', frameon=True)
plt.show()

  8. How to change legend box size without changing marker size in Matplotlib? Description: This query focuses on adjusting the size of the legend box while maintaining the size of markers in Matplotlib plots.

    import matplotlib.pyplot as plt

# Plotting code with markers
plt.plot([1, 2, 3], marker='o', label='Line 1')
plt.plot([3, 2, 1], marker='s', label='Line 2')
plt.legend(fontsize='large', frameon=True)
plt.show()

  9. How to adjust legend box size in Matplotlib pie chart? Description: This query addresses resizing the legend box in Matplotlib pie charts, allowing for better control over its dimensions and placement.

    import matplotlib.pyplot as plt

# Pie chart code
sizes = [15, 30, 45, 10]
labels = ['A', 'B', 'C', 'D']
plt.pie(sizes, labels=labels)
plt.legend(fontsize='large', frameon=True)
plt.show()

  10. How to change legend box size in Matplotlib bar plot? Description: This query pertains to adjusting the size of the legend box in Matplotlib bar plots, ensuring it remains visible and appropriately sized.

    import matplotlib.pyplot as plt

# Bar plot code
plt.bar([1, 2, 3], [4, 5, 6], label='Bars')
plt.legend(fontsize='large', frameon=True)
plt.show()

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