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To place the legend outside the plot area, use loc and bbox_to_anchor keywords of legend(). For example, the following code will place the legend to the right of the plot area: legend(loc="upper left", bbox_to_anchor=(1,1)) For more info, see the legend guide
18 gru 2016 · pyplot.show () displays the correct plot with a legend outside it. But when I save it as a file with fig.savefig (), the legend is truncated. Some googling shows me workarounds such as adding bbox_extra_artists= [leg.legendPatch] or bbox_extra_artists= [leg] to savefig (), but neither worked.
26 lis 2022 · To solve this problem we need to place the legend outside the plot. The syntax to set the legend outside is as given below: matplotlib.pyplot.legend (bbox_to_anchor= (x,y)) Example 1: Matplotlib set legend upper-left outside the plot. Python3. import matplotlib.pyplot as plt. import numpy as np. x = np.linspace(0, 10, 100)
Since the data does not have any labels, creating a legend requires us to define the icons and labels. In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. For example:
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.
To place a legend outside of a plot in Matplotlib, you can use the `bbox_to_anchor` parameter, the `loc` parameter, or the `legend` object. The `bbox_to_anchor` parameter allows you to specify the coordinates of the legend relative to the plot.
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.
