How to Effectively Create Multiple Subplots Using Matplotlib?

Plotting in Multiple Subplots with Matplotlib

Understanding the functionality of subplots is crucial when working with multiple plots in Matplotlib. Let's explore how it operates:

The subplots method creates a figure that can contain multiple subplots. It returns two objects: fig, which represents the figure, and axes, which is a 2D array containing the individual subplot axes.

For instance:

fig, axes = plt.subplots(nrows=2, ncols=2)
plt.show()

This code generates a figure with four subplots arranged in a 2x2 grid. The axes array stores references to each subplot's axes.

Contrary to popular belief, creating more subplots does not create additional figures. Instead, it divides the existing figure into smaller subplots.

While the subplots method is efficient, you can also create a figure manually and specify subplots explicitly. However, this method is not as concise as using subplots:

fig = plt.figure()
axes = fig.subplots(nrows=2, ncols=2)

This code creates a figure and an array of axes, but it doesn't automatically plot anything. To display the plots, you need to manually add data to each subplot.

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