The simplest way of creating a Figure with an Axes is using pyplot.subplots. If you are not satisfied with the new title position, choose by trial and error a suitable x for each cell: (x=0.025)įig.(x=0.025)įig.(x=0.575)įig.(x=0. Matplotlib graphs your data on Figure s (e.g., windows, Jupyter widgets, etc.), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, x-y-z in a 3D plot, etc.). Looking at the xaxis for each subplot cell, we deduce the leftmost position for titles: x=0, 0.55, 0, 0.55. Hence we have to update the x-coordinate of each text that defines the title. We’ll also showcase review other approaches, including: Placing the legend outside the plot and in any required location. Use the bboxtoanchor argument, which offers control for manual legend placement. Shrink the width of the plot so that the legend fits the figure. We have 4 annotations, one for each subplot, that define the title position. 2 Steps to Placing a Legend Outside of a Plot in Matplotlib Explained. We define these subplots: from plotly.subplots import make_subplots
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