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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. 14 paź 2013 · I'm attempting to create a plot with a legend to the side of it using matplotlib. I can see that the plot is being created, but the image bounds do not allow the entire legend to be displayed.

  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. Sometimes you don't want a legend that is explicitly tied to data that you have plotted. For example, say you have plotted 10 lines, but don't want a legend item to show up for each one. If you simply plot the lines and call ax.legend(), you will get the following:

  5. The Legend class is a container of legend handles and legend texts. The legend handler map specifies how to create legend handles from artists (lines, patches, etc.) in the Axes or figures. Default legend handlers are defined in the legend_handler module.

  6. 22 wrz 2023 · Positioning the legend outside the plot in Matplotlib is fairly easy to do. We simply need to use the bbox_to_anchor and loc parameters of the legend() function. Here's how to do it: import matplotlib.pyplot as plt # Create a simple line plot plt.plot([1, 2, 3, 4], [1, 4, 9, 16], label= 'Sample Data') # Add a legend outside the plot plt.legend ...

  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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