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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.
Save the current figure as an image or vector graphic to a file. Call signature: savefig(fname,*,transparent=None,dpi='figure',format=None,metadata=None,bbox_inches=None,pad_inches=0.1,facecolor='auto',edgecolor='auto',backend=None,**kwargs) The available output formats depend on the backend being used. Parameters:
Save Plot with Legend. To save the plot with a legend, you can add a legend to the plot using the legend method before saving the plot with savefig. The code below shows how to save the plot with a legend as plot_with_legend.png. ax.plot(x, y, label='Data') ax.legend() ax.savefig('plot_with_legend.png')
20 wrz 2024 · Saving Matplotlib figures with legends outside the plot in Python 3 is a useful technique when you want to include a legend in your figure without overlapping with the plot itself. By using the ax.legend() function and specifying the location and position of the legend using the loc and bbox_to_anchor parameters, you can easily place the legend ...
31 sty 2014 · The motiviation for wanting to do this is a work around to the problem of having the legend box obscuring data without resorting to “outside” placement of the legend. The idea here is that matplotlib would provide two images: PNG file of figure without legend. PNG file of legend only.
6 maj 2021 · To save a file with legend outside the plot, we can take the following steps −. Create x data points using numpy. Plot y=sin (x) curve using plot () method, with color=red, marker="v" and label y=sin (x). Plot y=cos (x), curve using plot () method, with color=green, marker="x" and label y=cos (x).
14 paź 2013 · Store your legend call instance to a variable. e.g: rr = sine_curve_plot.legend(loc=(0.0,1.1)) Then, include the bbox_extra_artists, bbox_inches keyword argument to plt.savefig. i.e: plt.savefig('output.pdf', bbox_inches='tight', bbox_extra_artists=(rr)) bbox_extra_artists accepts an iterable, so you can include as many legend instances into it.
