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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:
For an overview of the plotting methods we provide, see Plot types. This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide.
I am using matplotlib and I would like to manually add items to the legend that are a color and a label. I am adding data to to the plot to specifying there would lead to a lot of duplicates. My thought was to do:
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.
23 mar 2019 · All examples assume you're working on the pyplot interface. All code is available online on this jupyter notebook. Add legend to plot. 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:
fig, ax = plt. subplots line1, = ax. plot ([1, 2, 3], label = "Line 1", linestyle = '--') line2, = ax. plot ([3, 2, 1], label = "Line 2", linewidth = 4) # Create a legend for the first line. first_legend = ax. legend (handles = [line1], loc = 'upper right') # Add the legend manually to the Axes. ax. add_artist (first_legend) # Create another ...
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.
