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The plt.subplots() function in Matplotlib is a utility wrapper that makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call.
Example
import matplotlib.pyplot as pltimport numpy as np# Create some datax = np.linspace(0, 2 * np.pi, 400)y = np.sin(x ** 2)# Create a figure and a set of subplotsfig, ax = plt.subplots()ax.plot(x, y)ax.set_title('Simple plot')plt.show()Copied!✕CopyCreating Multiple Subplots
You can create multiple subplots by specifying the number of rows and columns.
fig, axs = plt.subplots(2, 2)axs[0, 0].plot(x, y)axs[0, 0].set_title('Axis [0, 0]')axs[0, 1].plot(x, y, 'tab:orange')axs[0, 1].set_title('Axis [0, 1]')axs[1, 0].plot(x, -y, 'tab:green')axs[1, 0].set_title('Axis [1, 0]')axs[1, 1].plot(x, -y, 'tab:red')axs[1, 1].set_title('Axis [1, 1]')plt.show()Copied!✕CopySharing Axes
You can share the x or y axis among subplots.
fig, (ax1, ax2) = plt.subplots(2, sharex=True)ax1.plot(x, y)ax2.plot(x + 1, -y)plt.show()Copied!✕CopyImportant Considerations
Matplotlib Subplots - GeeksforGeeks
python - How to plot in multiple subplots - Stack Overflow
- Create an array of Axes with matplotlib.pyplot.subplots and then pass axes[i, j] or axes[n] to the ax parameter.
Matplotlib Subplot - W3Schools
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