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_xaxis_transform() Function
The Axes.get_xaxis_transform() function in axes module of matplotlib library is used to get the transformation used for drawing x-axis labels, ticks and gridlines.
Syntax: Axes.get_xaxis_transform(self, which=’grid’)
Parameters: This method does not accepts any parameters.
Return value: This method returns the transformation used for drawing x-axis labels, ticks and gridlines.
Below examples illustrate the matplotlib.axes.Axes.get_xaxis_transform() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np t = np.arange(0.0, 5.0, 0.1) s = np.exp(-t) + np.sin(2 * np.pi * t) + 1nse = np.random.normal(0.0, 0.3, t.shape) * s fig, vax = plt.subplots() vax.plot(t, s, 'go-') vax.vlines(t, [0], s) vax.vlines([1, 2], 0, 1, transform = vax.get_xaxis_transform(), colors ='r') fig.suptitle('matplotlib.axes.Axes.get_xaxis_transform()\ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt import matplotlib.patches as mpatches x = np.arange(0, 10, 0.005) y = np.exp(-x / 2.) * np.sin(2 * np.pi * x) fig, [ax, ax1] = plt.subplots(1, 2) ax.plot(x, y) ax.set_title("Without get_xaxis_transform() function") ax1.plot(x, y, transform = ax1.get_xaxis_transform()) ax1.set_title("With get_xaxis_transform() function") fig.suptitle('matplotlib.axes.Axes.get_xaxis_transform()\ function Example', fontweight ="bold") plt.show() |
Output:
