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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):
Legend Demo # 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.
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.
23 mar 2019 · Matplotlib Examples: Displaying and Configuring Legends. Last updated: 23 Oct 2022. Table of Contents. Add legend to plot. Add legend to multiple plots in the same axis. Add legend to axis. Change legend location. Disable legend. Change number of columns in legend. Legend outside axes. Reorder labels in legend. Confused about pyplot and matplotlib?
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.
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 matplotlib for enhancing your data visualizations.
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.
