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Increase subplot size matplotlib
Increase subplot size matplotlib





increase subplot size matplotlib increase subplot size matplotlib

It will then expand out of the zero-size bounding box. It then acts as a point relative to which the legend will be placed according to the loc argument. bbox_to_anchor=(1,1) it means that the bounding box is located at the upper right corner of the axes and has no extent. If bbox_to_anchor is given a 2-tuple e.g. However, we may specify our own bounding box using the bbox_to_anchor argument. If no further argument is specified, this bounding box will be the entire axes. plt.legend(loc="upper left") placed the legend such that it sits in the upper left corner of its bounding box. The most important and in itself sufficient is the loc argument.Į.g. Plt.legend() has two main arguments to determine the position of the legend. If the need for a pie chart is unambiguously determined, let's proceed to place the legend. In many cases pie charts are not the best way to convey information. Step 2: Making sure, a pie chart is needed. If indeed the plot cannot live without a legend, proceed to step 2. In many cases no legend is needed at all and the information can be inferred by the context or the color directly: The long version: Step 1: Making sure a legend is needed. The short answer is: You may use plt.legend's arguments loc, bbox_to_anchor and additionally bbox_transform and mode, to position the legend in an axes or figure.







Increase subplot size matplotlib