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:
# 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:
# 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