Matplotlib.axis.Tick.get_figure() in Python

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

# Implementation of matplotlib function
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("""matplotlib.axis.Tick.get_agg_filter()
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


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("""matplotlib.axis.Tick.get_agg_filter()
function Example\n""", fontweight="bold")

plt.show()

Output:

Matplotlib.axis.Tick.get_figure() in Python

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