Matplotlib.axis.Axis.set_default_intervals() function in Python
Last Updated :
08 Jun, 2020
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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_default_intervals() Function
The Axis.set_default_intervals() function in axis module of matplotlib library is used to set the default limits for the axis data and view interval.
Syntax: Axis.set_default_intervals(self)
Parameters: This method does not accepts any parameters.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.set_default_intervals() function in matplotlib.axis:
Example 1:
# 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_default_intervals()
ax.grid()
fig.suptitle("""matplotlib.axis.Axis.set_default_intervals()
function Example\n""", fontweight ="bold")
plt.show()
Output:
Example 2:
# Implementation of matplotlib function
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, maxlags = 9,lw = 3)
ax.grid(True)
ax.xaxis.set_default_intervals()
fig.suptitle("""matplotlib.axis.Axis.set_default_intervals()
function Example\n""", fontweight ="bold")
plt.show()
Output:
