Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
matplotlib.figure.Figure.get_axes() method
The get_axes() method figure module of matplotlib library is used to get the list of axes in the Figure.
Syntax: get_axes(self)
Parameters: This method does not accept any parameters.
Returns: This method returns a list of axes in the Figure.
Below examples illustrate the matplotlib.figure.Figure.get_axes() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.tri import Triangulation from matplotlib.patches import Polygon import numpy as np xs = list([ 1, 2, 3, 4, 5, 6, 7, 8, 9]) ys = list([9, 8, 7, 6, 5, 4, 3, 2, 1]) fig = plt.figure() ax = fig.add_subplot(111) ax.plot(ys, xs) fig.get_axes()[0].set_ylabel("Y label") fig.get_axes()[0].set_xlabel("X label") fig.suptitle('matplotlib.figure.Figure.get_axes()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.tri import Triangulation from matplotlib.patches import Polygon import numpy as np xs = list([ 1, 2, 3, 4, 5, 6, 7, 8, 9]) ys = list([9, 8, 7, 6, 5, 4, 3, 2, 1]) fig = plt.figure() ax = fig.add_subplot(111) ax.bar(ys, xs, width = 0.5, align ="center") fig.get_axes()[0].set_ylabel("Number") fig.get_axes()[0].set_xlabel("Values") fig.suptitle('matplotlib.figure.Figure.get_axes()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
