Introduction to matplotlib.axes.Axes.use_sticky_edges()

Overview

The matplotlib.axes.Axes.use_sticky_edges() method is a method used in the Matplotlib library in Python which is used to control the use of "sticky" edges. In Matplotlib, a sticky edge is an alignment guide which aligns the edges of a plot with the edges of other plots, or with the edges of the Figure which contains it.

Syntax

The syntax for using the matplotlib.axes.Axes.use_sticky_edges() method is as follows:

Axes.use_sticky_edges(yes=True)

The yes parameter is an optional boolean value which specifies whether sticky edges should be used (True) or not (False). If this parameter is omitted, the method defaults to using sticky edges.

Example

import matplotlib.pyplot as plt
import numpy as np

# Create some data
x = np.arange(0, 10, 0.1)
y1 = np.sin(x)
y2 = np.cos(x)

# Create subplot 1
fig, ax1 = plt.subplots()
ax1.plot(x, y1)
ax1.set_ylabel("y1")

# Create subplot 2
ax2 = ax1.twinx()
ax2.plot(x, y2, color="red")
ax2.set_ylabel("y2")

# Enable sticky edges
ax1.use_sticky_edges()
ax2.use_sticky_edges()

# Show plot
plt.show()

In this example, we create a plot with two subplots which share the same x-axis. We set the left y-axis to display the sine of x, and the right y-axis to display the cosine of x. We then call the use_sticky_edges() method on both subplots to enable sticky edges. The result is that the edges of the subplots are aligned with the edges of the Figure which contains them, resulting in a visually appealing plot.

Conclusion

In conclusion, the matplotlib.axes.Axes.use_sticky_edges() method is a useful tool for controlling the use of sticky edges in Matplotlib. By aligning the edges of subplots with the edges of the Figure which contains them, sticky edges can result in a more visually appealing plot.