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.set() Function
The Tick.set() function in axis module of matplotlib library is a property batch setter. Pass kwargs to set properties.
Syntax: Tick.set(self, **kwargs)
Parameters: This method does not accepts any parameters other than **kwargs.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib import matplotlib.pyplot as plt import numpy as np t = np.arange(0.0, 2, 0.001) s = 1 + np.sin(4 * np.pi * t)*0.2 fig, ax = plt.subplots() ax.plot(t, s) Tick.set(ax, xlabel ='X-Axis', ylabel ='Y-Axis', xlim =(0, 1.5), ylim =(0.5, 1.5)) ax.grid() fig.suptitle('matplotlib.axis.Tick.set() \ 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 np.random.seed(19680801) fig, ax = plt.subplots() x, y, s, c = np.random.rand(4, 100) s *= 10000 ax.scatter(x**2, y**2, s, c**2) Tick.set(ax, xlabel ='X-Axis', ylabel ='Y-Axis', xlim =(0, 0.5), ylim =(0, 0.5)) fig.suptitle('matplotlib.axis.Tick.set() \ function Example', fontweight ="bold") plt.show() |
Output:
