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  1. 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

  2. 9 maj 2014 · To display the legend outside of the plot in matplotlib, you can use the bbox_to_anchor papameter along with the loc parameter of the legend function, here's how you can modify your code to achieve that:

  3. 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)

  4. 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.

  5. If a plot does not show up please check Troubleshooting. Where to go next# Check out Plot types to get an overview of the types of plots you can create with Matplotlib. Learn Matplotlib from the ground up in the Quick-start guide.

  6. provide custom, domain specific, and experimental features, including styles, colors, more plot types and backends, and alternative interfaces.

  7. 10 paź 2023 · I have the same error on scanpy 1.9.5, seaborn 0.13.0, the error seems to be specific to 'multi_panel = True' and produces 3 empty graphs that all inherit the "n_genes_by_counts" x-label instead of the proper one. The same graph is produced normally with 'multi_panel = False'.

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