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.set_visible() Function
The Axes.set_visible() function in axes module of matplotlib library is used to set the artist’s visibility.
Syntax: Axes.set_visible(self, b)
Parameters: This method accepts only one parameters.
- b: This parameter is the boolean value.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_visible() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import Subplot fig = plt.figure() ax = Subplot(fig, 111) fig.add_subplot(ax) ax.axis["left"].set_visible(False) ax.axis["top"].set_visible(False) fig.suptitle('matplotlib.axes.Axes.set_visible()\ function Example\n', fontweight ="bold") plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np X = np.arange(-20, 20, 0.5) Y = np.arange(-20, 20, 0.5) U, V = np.meshgrid(X, Y) fig, ax = plt.subplots() ax.quiver(X, Y, U, V) w = ax.get_xaxis() w.set_visible(False) fig.suptitle('matplotlib.axes.Axes.set_visible() \ function Example\n', fontweight ="bold") plt.show() |
Output:
