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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)
To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example: ax.plot( [1,2,3])ax.plot( [5,6,7])ax.legend( ['First line','Second line']) Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to 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:
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 ...
This post explains how to customize the legend on a chart with matplotlib. It provides many examples covering the most common use cases like controling the legend location, adding a legend title or customizing the legend markers and labels.
