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  1. Jan 10, 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.

  2. Over 24 examples of Legends including changing color, size, log axes, and more in Python.

  3. 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: ax.plot([1, 2, 3]) ax.plot([5, 6, 7]) ax.legend(['First line', 'Second line']) Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.

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  5. Dec 7, 2023 · The legend is made more readable and recognizable by the addition of the font, origin, and other details. Let’s explore the several methods that can be used to change the plot legends. Basic Legend with Matplotlib. Change the Legend Position and Title in Matplotlib. Change Legend Font Size and Style in Matplotlib.

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  6. 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.

  7. This legend guide extends the legend docstring - please read it before proceeding with this guide. This guide makes use of some common terms, which are documented here for clarity: legend entry #. A legend is made up of one or more legend entries. An entry is made up of exactly one key and one label.

  8. Jun 28, 2024 · This article covers most of the settings related to Matplotlib legends, detailing how to specify the position, change the color, and add labels. After completing the reading, you will learn the art of using Matplotlib to freely place legends on graphs and customize colors and labels.