


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