Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_xscale() Function
The Axes.get_xscale() function in axes module of matplotlib library is used to return the x-axis scale as string.
Syntax: Axes.get_xscale(self)
Parameters: This method does not accepts any parameters.
Return: This function return the x-axis scale as a string.
Below examples illustrate the matplotlib.axes.Axes.set_yscale() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.plot([1, 2, 3]) w = ax.get_xscale() ax.set_title("xscale property : "+ str(w), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_xscale()\ function Example\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.ticker import EngFormatter val = np.random.RandomState(19680801) xs = np.logspace(1, 9, 100) ys = (0.8 + 4 * val.uniform(size = 100)) * np.log10(xs)**2 fig, ax0 = plt.subplots() ax0.set_xscale('log') formatter0 = EngFormatter(unit ='Hz') ax0.xaxis.set_major_formatter(formatter0) ax0.plot(xs, ys) ax0.set_xlabel('Frequency') w = ax0.get_xscale() ax0.set_title("xscale property : "+ str(w), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_xscale()\ function Example\n', fontweight ="bold") fig.canvas.draw() plt.show() |
Output:
