Search results
20 cze 2017 · plt.savefig("output.png", bbox_inches="tight") What this command does is to extend or shrink the area of the saved figure to include all the artists in it. Alternatively, you can shrink the content of the figure, such that there is enough space for the text to fit into the original figure.
matplotlib.pyplot.savefig(*args, **kwargs) [source] #. 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 ...
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 ...
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.
31 sty 2014 · The idea here is that matplotlib would provide two images: PNG file of figure without legend. PNG file of legend only. The end user would import both images into another tool (e.g. microsoft power point) and arrange figure and legend intera...
Calling plt.savefig() after calling plt.show() can be problematic when building plots in a Jupyter notebook with %matplotlib inline enabled. A standard savefig() command is: plt.savefig('plot.png', dpi=300, bbox_inches='tight')
