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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)
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 ...
In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. For example: from matplotlib.lines import Line2D custom_lines = [ Line2D ([ 0 ], [ 0 ], color = cmap ( 0.
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 ...
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.
