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.SubplotBase() class
It is a base class for subplots which is Axes instances. It provide various new methods which are used to generate and manipulate a set of Axes within a figure object.
Note: In the SubplotBase, the Base is the object.
Syntax: class matplotlib.axes.SubplotBase(fig, *args, **kwargs)
Parameters: This accept the following parameters that are described below:
- fig: This parameter is the matplotlib.figure.Figure.
- *args: This parameter contains the tuple of values (nrows, ncols, index).In other words, it is the array of subplots in the figure has dimensions (nrows, ncols) and index is the index of the subplot being created.
Below examples illustrate the matplotlib.axes.SubplotBase() class in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import SubplotZero import numpy as np fig = plt.figure(figsize =(4, 3)) # Zero is the base ax = SubplotZero(fig, 1, 1, 1) fig.add_subplot(ax) xx = np.arange(0, 2 * np.pi, 0.01) ax.plot(xx, np.sin(xx)) fig.suptitle('matplotlib.axes.SubplotBase() class Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt from mpl_toolkits.axisartist.axislines import Subplot fig = plt.figure() ax = Subplot(fig, 111) fig.add_subplot(ax) ax.axis["left"].set_visible(False) ax.axis["top"].set_visible(False) fig.suptitle('matplotlib.axes.SubplotBase() class Example\n\n', fontweight ="bold") plt.show() |
Output:
