Matplotlib.axis.Axis.limit_range_for_scale() 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.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
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(
, fontweight = "bold")
plt.show()
|
Output:
Example 2:
Python3
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(
, fontweight = "bold")
plt.show()
|
Output:
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