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.Axis.set_data_interval() Function
The Axis.set_data_interval() function in axis module of matplotlib library is used to set the axis data limits. This method is for internal use.
Syntax: Axis.set_data_interval(self, vmin, vmax, ignore=False)
Parameters: This method accepts the following parameters.
- vmin: This parameter is the minimum data limit.
- vmax: This parameter is the maximum data limit.
Return value: This method returns does not any value.
Below examples illustrate the matplotlib.axis.Axis.set_data_interval() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np fig = plt.figure() x = np.linspace(0,4*np.pi,100) y = 2*np.sin(x) ax = fig.add_subplot() ax.plot(x,y) ax.xaxis.set_data_interval(2, 4 ,True) ax.grid() fig.suptitle("""matplotlib.axis.Axis.set_data_interval() function Example\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np np.random.seed(10**7) Lazyroar = np.random.randn(40) fig, ax = plt.subplots() ax.acorr(Lazyroar, usevlines = True, normed = True,lw = 3) ax.grid(True) ax.xaxis.set_data_interval(-10 , 10) fig.suptitle("""matplotlib.axis.Axis.set_data_interval() function Example\n""", fontweight ="bold") plt.show() |
Output:
