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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)
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.
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.
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.
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()
y = np.sin(x[:, np.newaxis] + np.pi * np.arange(0, 2, 0.5)) lines = plt.plot(x, y) # lines is a list of plt.Line2D instances plt.legend(lines[:2], ['first', 'second']); I generally find in practice that it is clearer to use the first method, applying labels to the plot elements you'd like to show on the legend: In [8]:
