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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. 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 ...

  4. Saving plots. Matplotlib plots can be saved as image files using the plt.savefig() function. The plt.savefig() function needs to be called right above the plt.show() line. All the features of the plot must be specified before the plot is saved as an image file.

  5. Saving Figures #. Finally, Figures can be saved to disk using the savefig method. fig.savefig ('MyFigure.png',dpi=200) will save a PNG formatted figure to the file MyFigure.png in the current directory on disk with 200 dots-per-inch resolution.

  6. 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.

  7. 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).

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