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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
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. lines = [] ax = plt.subplot(111) for filename in args: lines.append(plt.plot(y_axis, x_axis, colors[colorcycle], linestyle='steps-pre', label=filename ...
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 .
10 lut 2011 · I've been trying to find a way to move the legend outside the plot so it doesn't cover it up. I've seen some things online but I can quite get them to work (probably just my lack of knowledge about matplotlib). The section of code creating the plot looks like, fig = plt.figure () ax = fig.add_subplot (1,1,1);
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.
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:
