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Can You Create AxesSubplot Objects Independently of Figures in Matplotlib?

Patricia Arquette
Patricia ArquetteOriginal
2024-11-13 00:46:02706browse

Can You Create AxesSubplot Objects Independently of Figures in Matplotlib?

Decoupling AxesSubplot Creation and Figure Addition

Problem:
Customizing matplotlib plots often requires the creation of AxesSubplot objects. However, these objects are typically bound to a Figure at their creation. This limits the ability to reuse AxesSubplots across multiple figures.

Question:
Is it possible to create AxesSubplot objects independently of Figure instances and then add them to different figures as needed?

Answer:

Yes, it is possible to decouple AxesSubplot creation and Figure addition in matplotlib. There are two main approaches:

Passing Functions with Axes Instances:

  • Create a function that takes an Axes instance as an argument.
  • Implement the plotting code within this function.
  • Pass an existing or newly created Axes instance to the function.
  • This allows for reuse of the same subplot in multiple figures by passing the same Axes instance to different function calls.

Appending Axes to Figures:

  • Create an Axes instance independently of a Figure.
  • Add the Axes instance to a Figure using the Figure.axes.append() method.
  • Specify the desired geometry within the append() method.
  • This approach allows for the reuse of Axes instances across multiple figures, regardless of the figure size or number of subplots.

Example Code:

Passing Functions with Axes Instances:

import numpy as np
import matplotlib.pyplot as plt

def plot_sin(ax):
    x = np.linspace(0, 6 * np.pi, 100)
    ax.plot(x, np.sin(x))
    ax.set_ylabel('Yabba dabba do!')

fig1, (ax1, ax2) = plt.subplots(nrows=2)
plot_sin(ax1)
plot_sin(ax2)

fig2 = plt.figure()
ax3 = fig2.add_subplot(111)
plot_sin(ax3)

plt.show()

Appending Axes to Figures:

import numpy as np
import matplotlib.pyplot as plt

fig1 = plt.figure()
ax1 = fig1.add_subplot(111)

fig2 = plt.figure()
ax2 = fig2.add_subplot(111)
fig2.axes.append(ax1)

plt.show()

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