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  1. To place the legend outside of the axes bounding box, one may specify a tuple (x0, y0) of axes coordinates of the lower left corner of the legend. plt.legend(loc=(1.04, 0)) A more versatile approach is to manually specify the bounding box into which the legend should be placed, using the bbox_to_anchor argument.

  2. 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.

  3. 6 cze 2023 · To move the legend outside the plot, we can use the bbox_to_anchor parameter of the legend () function. This parameter allows us to specify the position of the bounding box of the legend in relation to the axes of the plot. Here is an example where we place the legend to the right of the plot:

  4. 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.

  5. matplotlib.pyplot.legend(*args, **kwargs)[source] #. Place a legend on the Axes. Call signatures: legend()legend(handles,labels)legend(handles=handles)legend(labels) The call signatures correspond to the following different ways to use this method: 1. Automatic detection of elements to be shown in the legend.

  6. 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)

  7. 7 wrz 2020 · Often you may want to place the legend of a Matplotlib plot outside of the actual plot. Fortunately this is easy to do using the matplotlib.pyplot.legend () function combined with the bbox_to_anchor argument. This tutorial shows several examples of how to use this function in practice.

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