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28 sie 2014 · How to make the legend background blank (i.e. transparent, not white): legend = plt.legend() legend.get_frame().set_facecolor('none') Warning, you want 'none' (the string).
loc='best',bbox_to_anchor=(0.5,0.,0.5,0.5) A 2-tuple (x,y) places the corner of the legend specified by loc at x, y. For example, to put the legend's upper right-hand corner in the center of the Axes (or figure) the following keywords can be used: loc='upper right',bbox_to_anchor=(0.5,0.5) ncolsint, default: 1.
For an alternative placement, you can closely align the edge of the graph and border of the legend, and remove border lines for a closer fit. You can move and re-style the legend and graph with code, or with the GUI.
This post explains how to customize the legend on a chart with matplotlib. It provides many examples covering the most common use cases like controling the legend location, adding a legend title or customizing the legend markers and labels.
Matplotlib legend is an essential component of data visualization in Python. When creating plots with multiple data series, a legend helps viewers understand what each line, marker, or color represents.
The location of the legend can be specified by the keyword argument loc. Please see the documentation at legend() for more details. The bbox_to_anchor keyword gives a great degree of control for manual legend placement. For example, if you want your Axes legend located at the figure's top right-hand corner instead of the Axes' corner, simply ...
Plot legends give meaning to a visualization, assigning meaning to the various plot elements. We previously saw how to create a simple legend; here we'll take a look at customizing the placement and aesthetics of the legend in Matplotlib.
