A string starting with an underscore is the default label for all artists, so calling Axes.legend without any arguments and without setting the labels manually will result in a UserWarning and an empty legend …

Dec 3, 2025 · 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.

You can do this either by using the label= keyword in each of your plt.plot() calls or by assigning your labels as a tuple or list within legend, as in this working example:

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 …

A brief lesson on adding legends to Matplotlib charts, placing them in different locations, and customizing their style

2 days ago · Here’s the good news: matplotlib.axes.Axes.legend() is predictable once you understand how it gathers “handles” (the things drawn) and “labels” (the text you see), and how placement and …

Feb 9, 2026 · Learn how to add, position, and customize legends in Matplotlib. Master legend placement, styling, multiple legends, and handling many entries with practical examples.

Jul 23, 2025 · In this article, you learn to customize the legend in Matplotlib. matplotlib is a popular data visualization library. It is a plotting library in Python and has its numerical extension NumPy.

To add a legend to a Matplotlib plot, you typically use the matplotlib.pyplot.legend () function. This function is used to add a legend to the Axes, providing a visual guide for the elements in the plot.

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 …