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) Lazyroar = np.random.randn(100) fig, ax = plt.subplots() ax.acorr(Lazyroar, 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:
