Matplotlib.axes.SubplotBase() in Python Last Updated : 21 Apr, 2020 Comments Improve Suggest changes Like Article Like Report 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: Python3 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: Python3 1== # 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: Comment More infoAdvertise with us Next Article Matplotlib.axes.SubplotBase() in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Matplotlib.axes.Axes.update() in Python 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. 2 min read matplotlib.axes.Axes.step() in Python 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. 2 min read matplotlib.axes.Axes.stackplot() in Python 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. 2 min read Matplotlib.pyplot.subplots_adjust() in Python Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, 2 min read Matplotlib.axes.Axes.set() in Python Axes.set() function in Matplotlib is used to set multiple Axes properties at once using keyword arguments (**kwargs). This is a convenient way to configure an Axes object with labels, limits, title and more, all in one call. It's key features include:Acts as a batch property setter for Axes.Uses key 2 min read Like