matplotlib.axes.Axes.use_sticky_edges() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.use_sticky_edges() Function

The Axes.use_sticky_edges() function in axes module of matplotlib library is used whether to obey all Artist.sticky_edges.

Syntax:

Axes.use_sticky_edges

Below examples illustrate the matplotlib.axes.Axes.use_sticky_edges() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

y, x = np.mgrid[:6, 1:6]
poly_coords = [
    (0.25, 2.75), (3.25, 2.75),
    (2.25, 0.75), (0.25, 0.75)
]
fig, ax = plt.subplots()

ax.use_sticky_edges = False

ax.pcolor(x, y, y + 20 * x, cmap ='Greens')

ax.margins(x = 0.1, y = 0.05)
ax.set_aspect('equal')

fig.suptitle('matplotlib.axes.Axes.use_sticky_edges() \
function Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

Output:

Example 2:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

y, x = np.mgrid[:6, 1:6]
poly_coords = [
    (0.25, 2.75), (3.25, 2.75),
    (2.25, 0.75), (0.25, 0.75)
]
fig, (ax1, ax2) = plt.subplots(nrows = 2)

ax2.use_sticky_edges = False

for ax, status in zip((ax1, ax2),
                      ('Is', 'Is Not')):

    # sticky
    cells = ax.pcolor(x, y, x + y,
                      cmap ='PuBuGn')
    ax.add_patch(
        plt.Polygon(poly_coords, color ='green',
                    alpha = 0.5)
    )  # not sticky
    ax.margins(x = 0.1, y = 0.05)
    ax.set_aspect('equal')
    ax.set_title('use_sticky_edges() function {} used'.format(status),
                 fontweight ="bold")

fig.suptitle('matplotlib.axes.Axes.use_sticky_edges() function \
Example\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

Output: