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.get_visible() Function
The Tick.get_visible() function in axis module of matplotlib library is used to get the visibility.
Syntax: Tick.get_visible(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the visibility.
Below examples illustrate the matplotlib.axis.Tick.get_visible() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import Subplot fig, ax = plt.subplots() ax.plot([11, 2, 4, 7, 3, 5, 1]) ax.set_title("Visibility : " + str(Tick.get_visible(ax))) fig.suptitle('matplotlib.axis.Tick.get_visible() \ function Example\n', fontweight="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import Subplot fig = plt.figure() ax = Subplot(fig, 111) fig.add_subplot(ax) X = np.arange(-40, 40, 0.5) Y = np.arange(-40, 40, 0.5) U, V = np.meshgrid(X, Y) ax.quiver(X, Y, U, V) ax.axis["right"].set_visible(False) ax.axis["top"].set_visible(False) print("Visibilities of Axis") print("Bottom :", Tick.get_visible(ax.axis["bottom"]), "\nTop :", Tick.get_visible(ax.axis["top"]), "\nLeft :", Tick.get_visible(ax.axis["left"]), "\nRight :", Tick.get_visible(ax.axis["right"])) fig.suptitle('matplotlib.axis.Tick.get_visible() \ function Example\n', fontweight="bold") plt.show() |
Output:
Visibilities of Axis Bottom : True Top : False Left : True Right : False
