Matplotlib.axis.Axis.limit_range_for_scale() function in Python

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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.limit_range_for_scale() Function

The Axis.limit_range_for_scale() function in axis module of matplotlib library is used to re-initialize the major and minor Tick lists.

Syntax: Axis.limit_range_for_scale(self, vmin, vmax)

Parameters: This method accepts the following parameters.

vmin: This parameter is the minimum value.

vmax: This parameter is the maximum value.

Return value: This method does not return any value.

Below examples illustrate the matplotlib.axis.Axis.limit_range_for_scale() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import matplotlib.pyplot as plt 
   
fig, ax = plt.subplots() 
   
ax.set_yscale("log") 
ax.set_adjustable("datalim") 
ax.plot([1, 3, 10], [1, 9, 100], "o-",color="green") 
ax.set_aspect(1) 
  
ax.xaxis.limit_range_for_scale(0,5) 
   
ax.grid()  
   
fig.suptitle("""matplotlib.axis.Axis.limit_range_for_scale() 
function Example\n""", fontweight ="bold")   
     
plt.show() 

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
import numpy as np 
import matplotlib.pyplot as plt 
   
   
fig, ax4 = plt.subplots() 
   
x = 10.0**np.linspace(0.0, 2.0, 15) 
y = x**2.0
ax4.set_xscale("log", nonposx='clip') 
ax4.set_yscale("log", nonposy='clip') 
   
ax4.errorbar(x, y, xerr=0.1 * x,  
             yerr=2.0 + 1.75 * y, 
             color="green") 
   
ax4.set_ylim(bottom=0.1) 
  
ax4.xaxis.limit_range_for_scale(0,5) 
ax4.yaxis.limit_range_for_scale(3,5) 
   
ax4.grid()  
   
fig.suptitle("""matplotlib.axis.Axis.limit_range_for_scale() 
function Example\n""", fontweight ="bold")   
     
plt.show() 