Aug 1, 2024 · Matplotlib.pyplot.legend () function is a utility given in the Matplotlib library for Python that gives a way to label and differentiate between multiple plots in the same figure. …

Add a label= to each of your plot() calls, and then call legend(loc='upper left'). Consider this sample (tested with Python 3.8.0): import numpy as np import matplotlib.pyplot as plt x = …

To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example: A list of Artists (lines, patches) to be added to the legend. Use …

Dec 7, 2023 · 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: …

fig, ax = plt. subplots line1, = ax. plot ([1, 2, 3], label = "Line 1", linestyle = '--') line2, = ax. plot ([3, 2, 1], label = "Line 2", linewidth = 4) # Create a legend for the first line. first_legend = ax. …

The Legend class is a container of legend handles and legend texts. The legend handler map specifies how to create legend handles from artists (lines, patches, etc.) in the Axes or figures. …

Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. This article offers a comprehensive guide on leveraging the legend() function in …

Dec 26, 2023 · Learn how to add a legend to a plot in Python in three easy steps. This tutorial covers the basics of adding a legend to a plot, including how to specify the text, position, and …

Dec 13, 2024 · Learn how to add and customize legends in Matplotlib plots with plt.legend(). Master legend placement, styling, and formatting for clear data visualization.

Jul 5, 2024 · In this tutorial, we learned how to add legends to Matplotlib plots in Python. Legends are essential for representing the meaning of different lines or elements in a graph. We …