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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.
The Legend class is a container of legend handles and legend texts. The legend handler map specifies how to create legend handles from artists (lines, patches, etc.) in the Axes or figures. Default legend handlers are defined in the legend_handler module.
In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. For example: from matplotlib.lines import Line2D custom_lines = [ Line2D ([ 0 ], [ 0 ], color = cmap ( 0.
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.
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.
26 maj 2020 · Syntax: savefig(fname, dpi=None, facecolor=’w’, edgecolor=’w’, orientation=’portrait’, papertype=None, format=None, transparent=False, bbox_inches=None, pad_inches=0.1, frameon=None, metadata=None)
By default, all traces and shapes appear on one legend. To have multiple legends, specify an alternative legend for a trace or shape using the legend property. For a second legend, set legend="legend2". Specify more legends with legend="legend3", legend="legend4" and so on.
