Matplotlib.axis.Tick.get_agg_filter() in Python
Last Updated :
01 May, 2022
Matplotlib is a library in Python and it is a 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_agg_filter() Function
The Tick.get_agg_filter() function in axis module of matplotlib library is used to get the filter function to be used for agg filter.
Syntax: Tick.get_agg_filter(self)
Parameters: This method does not accepts any parameter.
Return value: This method return the filter function to be used for agg filter.
Below examples illustrate the matplotlib.axis.Tick.get_agg_filter() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.artist import Artist
xx = np.random.rand( 3 , 4 )
fig, axs = plt.subplots()
m = axs.pcolor(xx)
m.set_zorder( 2 )
val = Tick.get_agg_filter(axs)
axs.set_title( "Value Return by get_agg_filter(): "
+ str (val))
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt
np.random.seed( 10 * * 7 )
geeks = np.random.randn( 40 )
fig, axs = plt.subplots()
axs.acorr(geeks, usevlines = True , normed = True ,
maxlags = 10 , lw = 2 )
axs.grid( True )
val = Tick.get_agg_filter(axs)
axs.set_title( "Value Return by get_agg_filter(): "
+ str (val))
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
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