Matplotlib.axes.Axes.update() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.update() Function

The Axes.update() function in axes module of matplotlib library is used to update this artist’s properties from the dictionary props.

Syntax: Axes.update(self, props)

Parameters: This method accepts the following parameters.

• props: This parameter is the dictionary of the properties.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.axes.Axes.update() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np

np.random.seed(10**7)
geeks = np.random.randn(100)

fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True,
         normed = True,
         maxlags = 80, lw = 3)

ax.grid(True)

prop = {'xticks': np.array([-10., -5.,  0.,   5., 10. ]),
        'yticks': np.array([-0.2,  0.2,  0.6,  1.,  1.4]),
        'ylabel': None, 'xlabel': None}

ax.update(prop)

fig.suptitle('matplotlib.axes.Axes.update()\
 function Example', fontweight ="bold")

plt.show()

Output:

Example 2:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt


xx = np.random.rand(16, 30)

fig, ax = plt.subplots()

m = ax.pcolor(xx)
m.set_zorder(-20)
prop = {'autoscalex_on': False}
w = ax.update(prop)

fig.suptitle('matplotlib.axes.Axes.update()\
function Example', fontweight ="bold")

plt.show()

Output: