Matplotlib.axis.Axis.set_data_interval() function in Python
Last Updated :
08 Jun, 2020
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
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(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
np.random.seed( 10 * * 7 )
geeks = np.random.randn( 40 )
fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True ,
normed = True ,lw = 3 )
ax.grid( True )
ax.xaxis.set_data_interval( - 10 , 10 )
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
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