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. The attribute Loc in legend() is used to specify the location of the legend. The default value of loc is loc= “best” (upper left).

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 this together with labels, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

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):

In order to create legend entries, handles are given as an argument to an appropriate HandlerBase subclass. The choice of handler subclass is determined by the following rules: Update get_legend_handler_map() with the value in the handler_map keyword. Check if the handle is in the newly created handler_map.

This post explains how to customize the legend on a chart with matplotlib. It provides many examples covering the most common use cases like controling the legend location, adding a legend title or customizing the legend markers and labels. Let's get started by importing libraries and loading the data. import matplotlib.pyplot as plt.

Matplotlib is a versatile Python library that provides native support for creating legends in various visualizations. Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation.

Mar 23, 2019 · Call plt.legend([list-of-titles]). Note that the argument is a list of legends. Pass a list with a single element to have a single legend: Call plt.legend () with a list of legends as arguments. This is the simplest possible use case.

Mar 19, 2025 · In the matplotlib library, plt.legend() is the function responsible for adding a legend to a plot. It automatically associates labels with the plotted elements (such as lines, scatter points, or bars) and displays them in a neatly organized box on the plot. This function simplifies the process of making plots self - explanatory.

Jun 28, 2024 · Are you confused when adding a legend to a graph in Matplotlib because you don’t know where it can be placed or how to set the color and label of the legend? This article covers most of the settings related to Matplotlib legends, detailing how to specify the position, change the color, and add labels.

In the plt.plot() function, we defined a new argument label = where we parsed the legend label for each of the two lines plotted on the graph. Next, we introduced a new function plt.legend (), which displays the legend on the plot in the top left corner as the default position.