Matplotlib.axis.Axis.get_data_interval() 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.

Matplotlib.axis.Axis.get_data_interval() Function

The Axis.get_data_interval() function in axis module of matplotlib library is used to get the Interval instance for this axis data limits. 

Syntax: Axis.get_data_interval(self) 

Parameters: This method does not accepts any parameters. 

Return value: This method returns the Interval instance for this axis data limits. 

Below examples illustrate the matplotlib.axis.Axis.get_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)

print("Value return by get_data_interval() :")
w = ax.xaxis.get_data_interval()
print(w)

ax.grid()

fig.suptitle("""matplotlib.axis.Axis.get_data_interval()
function Example\n""", fontweight ="bold")

plt.show()

Output:

Value return by get_data_interval() :
[ 0.         12.56637061]

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)
geeks = np.random.randn(40)

fig, ax = plt.subplots()
ax.acorr(geeks, usevlines = True,
         normed = True,
         maxlags = 20, lw = 3)

ax.grid(True)

print("Value return by get_data_interval() :")
w = ax.xaxis.get_data_interval()
print(w)

fig.suptitle("""matplotlib.axis.Axis.get_data_interval()
function Example\n""", fontweight ="bold")

plt.show()

Output:

Value return by get_data_interval() :
[-20.  20.]