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How to Reuse AxesSubplot Objects Across Different Figures in Matplotlib?

Nov 28, 2024 pm 04:18 PM

How to Reuse AxesSubplot Objects Across Different Figures in Matplotlib?

Sharing AxesSubplot Objects Across Figures

In matplotlib, it is common to create AxesSubplot objects using the Figure.add_subplot() method. However, you may want to decouple the creation of axes subplots from figure instances to reuse them in different figures.

Creating AxesSubplot Objects Independently

To achieve this, you can utilize an alternative approach:

import matplotlib.pyplot as plt

axes = plt.AxesSubplot(fig, 1, 1, 1)  # Create an empty axes subplot
axes.set_xlabel("X-Label")  # Populate axes settings
axes.set_ylabel("Y-Label")
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This allows you to create an AxesSubplot object without associating it with a specific figure.

Adding AxesSubplot Objects to Figures

Once you have created axes subplots independently, you can add them to figures using the following methods:

# Add axes to figure 1
fig1 = plt.figure()
fig1.axes.append(axes)

# Add axes to figure 2
fig2 = plt.figure()
fig2.axes.append(axes)
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Reusing Axes Subplots

By adding axes subplots to multiple figures, you can reuse them conveniently. For instance, you could define a function to plot data on the specified axes subplot:

def plot_on_axes(axes, data):
    axes.plot(data)
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This function can then be used in various figures to plot the same data on the shared axes subplot.

Resizing Axes

Moving an AxesSubplot object from one figure to another may require resizing to match the new figure's layout. To resize the axes, you can use the set_geometry() method:

axes.set_geometry(1, 2, 1)  # Update axes geometry for figure 1, with two columns
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Example

The following code snippet demonstrates how to create and reuse axes subplots independently:

import matplotlib.pyplot as plt

# Create independent axes subplots
ax1 = plt.AxesSubplot(None, 1, 1, 1)
ax2 = plt.AxesSubplot(None, 1, 1, 1)

# Populate axes settings
ax1.set_xlabel("X1")
ax1.set_ylabel("Y1")
ax2.set_xlabel("X2")
ax2.set_ylabel("Y2")

# Add axes subplots to figure 1
fig1 = plt.figure()
fig1.axes.append(ax1)
fig1.axes.append(ax2)

# Add axes subplots to figure 2
fig2 = plt.figure()
fig2.axes.append(ax1)

plt.show()
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This example creates two axes subplots, adds them to two different figures, and displays them.

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