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:
