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:
Matplotlib.axis.Tick.set() function in Python
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.