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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 · In the Matplotlib library, there’s a function called legend () which is used to Place a legend on the axes. The attribute Loc in legend () is used to specify the location of the legend. The default value of loc is loc= “best” (upper left). Put the legend outside the plot.
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' ])
ucl = ['upper', 'center', 'lower'] lcr = ['left', 'center', 'right'] fig, ax = plt. subplots (figsize = (6, 4), layout = 'constrained', facecolor = '0.7') ax. plot ([1, 2], [1, 2], label = 'TEST') # Place a legend to the right of this smaller subplot. for loc in ['outside upper left', 'outside upper center', 'outside upper right', 'outside ...
Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. This article offers a comprehensive guide on leveraging the legend() function in matplotlib for enhancing your data visualizations.
The most common way to make a legend is to define the label parameter for each of the plots and finally call plt.legend(). However, sometimes you might want to construct the legend on your own. In that case, you need to pass the plot items you want to draw the legend for and the legend text as parameters to plt.legend() in the following format:
