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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)
6 cze 2023 · A common solution to this issue involves adjusting the plot's margins using the subplots_adjust function. The subplots_adjust function can be applied to either the current figure obtained by plt.gcf() or directly to the plot using plt.subplots_adjust(). Here's how to use it:
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 ...
23 mar 2019 · Disable legend. this must be AFTER the call to plot. Some libraries such as Pandas default to setting legends in plots. So if legends are being set for some reason and you want to get rid of them, call ax.legend_.remove()
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.
