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**2.0ax4.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() |
Output:
