Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Tick.set_visible() Function
The Tick.set_visible() function in axis module of matplotlib library is used to Copy properties from other to self.
Syntax: Tick.set_visible(self, b)
Parameters: This method accepts the following parameters.
- b: This parameter is the boolean value.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_visible() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib functionfrom matplotlib.axis import Tickimport matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import Subplot fig = plt.figure() ax = Subplot(fig, 111) fig.add_subplot(ax) Tick.set_visible(ax.axis["right"], False) Tick.set_visible(ax.axis["top"], False) fig.suptitle('matplotlib.axis.Tick.set_visible() \function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib functionfrom matplotlib.axis import Tickimport matplotlib.pyplot as plt import numpy as np X = np.arange(-4, 4, 0.5) Y = np.arange(-4, 4, 0.5) U, V = np.meshgrid(X**2, Y**2) fig, ax = plt.subplots() ax.quiver(X, Y, U, V) w = ax.get_xaxis() Tick.set_visible(w, False) fig.suptitle('matplotlib.axis.Tick.set_visible() \function Example', fontweight ="bold") plt.show() |
Output:
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