Matplotlib legend in subplot Last Updated : 28 Nov, 2021 Comments Improve Suggest changes Like Article Like Report In this article, we will discuss how Matplotlib can be employed to add legends in subplots. We can add the legend after making the plot by using legend() function Syntax: axes[position].legend(loc='best') where, loc is the location and the 'best' places the legend at the location Approach: Use subplots() method to create subplots in a bigger plot.Use legend() method to add label to the curves.Then show the plots using show() method. Example 1: In this example, the scatter graph is plot with subplots of sine and cos. Python3 # importing modules from matplotlib import pyplot import numpy # assign value to x axis x_axis = numpy.arange(1, 20, 0.5) # get the value of log10 y_axis_log10 = numpy.log10(x_axis) # get the value of exp y_axix_exp = numpy.exp(x_axis) # create subplots using subplot() method fig, axes = pyplot.subplots(2) # depicting the visualization axes[0].plot(x_axis, y_axis_log10, color='green', label="log10") axes[1].plot(x_axis, y_axix_exp, color='blue', label="exp") # position at which legend to be added axes[0].legend(loc='best') axes[1].legend(loc='best') # display the plot pyplot.show() Output: Example 2: In this example, the scatter graph is plot with subplots of (y=x^2) and (y=x^3). Python3 # importing modules from matplotlib import pyplot import numpy # assign value to x axis x_axis = numpy.arange(-2, 2, 0.1) # get the value of sine y_axis_sine = numpy.sin(x_axis) # get the value of cos y_axix_cose = numpy.cos(x_axis) # create subplots using subplot() method fig, axes = pyplot.subplots(2) # depicting the visualization(scatter) axes[0].scatter(x_axis, y_axis_sine, color='green', marker='*', label="sine") axes[1].scatter(x_axis, y_axix_cose, color='blue', marker='*', label="cos") # position at which legend to be added axes[0].legend(loc='best') axes[1].legend(loc='best') # display the plot pyplot.show() Output: Example 3: Python3 # importing modules from matplotlib import pyplot # assign value to x axis x_axis = list(range(-10, 10)) # get the value of x*x y_axis1 = [x*x for x in x_axis] # get the value of x*x*x y_axix2 = [x*x*x for x in x_axis] # create subplots using subplot() method fig, axes = pyplot.subplots(2) # depicting the visualization axes[0].scatter(x_axis, y_axis1, color='green', marker='*', label="y=x^2") axes[1].scatter(x_axis, y_axix2, color='red', marker='*', label="y=x^3") # position at which legend to be added axes[0].legend(loc='best') axes[1].legend(loc='best') # display the plot pyplot.show() Output: Comment More infoAdvertise with us Next Article Matplotlib legend in subplot M maheswaripiyush9 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Matplotlib.pyplot.legend() in Python A legend is an area describing the elements of the graph. In the Matplotlib library, there’s a function called legend() which is used to place a legend on the axes. In this article, we will learn about the Matplotlib Legends.Python Matplotlib.pyplot.legend() SyntaxSyntax: matplotlib.pyplot.legend([" 6 min read Matplotlib Subplots In Matplotlib, subplots() function simplifies the creation of multiple plots within a single figure for organized visualization of various datasets. Before diving into subplots, let's start with a simple plot using matplotlib.pyplot.plot():Pythonimport matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], 4 min read Matplotlib.axes.Axes.legend() 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 Change the legend position in Matplotlib In this article, we will learn how to Change the legend position in Matplotlib. Let's discuss some concepts :Matplotlib is a tremendous visualization library in Python for 2D plots of arrays. Matplotlib may be a multi-platform data visualization library built on NumPy arrays and designed to figure w 2 min read How to Remove the Legend in Matplotlib? Matplotlib is one of the most popular data visualization libraries present in Python. Using this matplotlib library, if we want to visualize more than a single variable, we might want to explain what each variable represents. For this purpose, there is a function called legend() present in matplotli 5 min read Like