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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.
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.
Over 24 examples of Legends including changing color, size, log axes, and more in Python.
How can one create a legend for a line graph in Matplotlib's PyPlot without creating any extra variables? Please consider the graphing script below:
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.
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.
There are many ways to create and customize legends in Matplotlib. Below we'll show a few examples for how to do so. First we'll show off how to make a legend for specific lines.
