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  1. 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.

  2. 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')

  3. It is also possible to have a Figure-level legend (legend). Other Artists include figure-wide labels (suptitle, supxlabel, supylabel) and text (text). Finally, low-level Artists can be added directly using add_artist usually with care being taken to use the appropriate transform.

  4. 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) .

  5. 7 cze 2023 · Learn to fix the issue where Matplotlib's savefig function cuts off labels. Includes detailed code examples and best practices.

  6. 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.

  7. 28 sie 2014 · You may limit the saved region of a figure to the bounding box of the legend using the bbox_inches argument to fig.savefig. Below to versions of a function which you can simply call with the legend you want to save as argument.

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