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.update() Function
The Tick.update() function in axis module of matplotlib library is used to update this artist’s properties from the dictionary props.
Syntax: Tick.update(self, props)
Parameters: This method accepts the following parameters.
- props: This parameter is the dictionary of the properties.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.update() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np np.random.seed(10**7) neveropen = np.random.randn(100) fig, ax = plt.subplots() ax.acorr(neveropen, usevlines = True, normed = True, maxlags = 40, 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} Tick.update(ax, prop) ax.set_title('matplotlib.axis.Tick.update() \ function Example', 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 xx = np.random.rand(6, 5) fig, ax = plt.subplots() m = ax.pcolor(xx) m.set_zorder(-20) prop = {'autoscalex_on': False} Tick.update(ax, prop) ax.set_title('matplotlib.axis.Tick.update() \ function Example', fontweight ="bold") plt.show() |
Output:
