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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)
6 cze 2023 · To move the legend outside the plot, we can use the bbox_to_anchor parameter of the legend () function. This parameter allows us to specify the position of the bounding box of the legend in relation to the axes of the plot. Here is an example where we place the legend to the right of the plot:
23 kwi 2008 · When I saved a plot in a pdf format the legend is not properly drawn. I attached the figure to demonstrate the problem. The legend box (?) is smaller than the legend label. I used the following code to draw this test plot.
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.
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:
Along with handlers for complex plot types such as errorbars, stem plots and histograms, the default handler_map has a special tuple handler (legend_handler.HandlerTuple) which simply plots the handles on top of one another for each item in the given tuple. The following example demonstrates combining two legend keys on top of one another:
