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.yaxis_inverted() Function
The Axes.yaxis_inverted() function in axes module of matplotlib library return whether the y-axis is inverted or not.
Syntax: Axes.yaxis_inverted(self)
Parameters: This method does not accepts any parameters.
Returns:This method return whether the y-axis is inverted or not.
Below examples illustrate the matplotlib.axes.Axes.yaxis_inverted() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.axvspan(1.5, 2.5, facecolor ='g', alpha = 0.7) ax.invert_yaxis() ax.set_title('matplotlib.axes.Axes.yaxis_inverted() \ Example\n', fontsize = 14, fontweight ='bold') x = ax.yaxis_inverted() ans ="No"if x: ans ="Yes"ax.text(1.8, -0.02, "Y-axis is inverted ? : " + ans, style ='italic', fontsize = 12) plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np np.random.seed(19680801) plt.rcdefaults() fig, ax = plt.subplots() people = ('Geek1', 'Geek2', 'Geek3', 'Geek4', 'Geek5') y_pos = np.arange(len(people)) performance = 3 + 4.5 * np.random.rand(len(people))**2error = np.random.rand(len(people)) ax.barh(y_pos, performance, xerr = error, align ='center', color ="green") ax.set_yticks(y_pos) ax.set_yticklabels(people) ax.invert_yaxis() ax.set_xlabel('Performance') x = ax.yaxis_inverted() ans ="No"if x: ans ="Yes" ax.set_title('matplotlib.axes.Axes.yaxis_inverted() \ Example\n', fontsize = 14, fontweight ='bold') ax.text(3, -0.75, "Y-axis is inverted ? : " + ans, style ='italic', fontsize = 12) plt.show() |
Output:
