Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. Pyplot is a collection of command style functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.
A legend is an area describing the elements of the graph. In the matplotlib library, there’s a function called legend() which is used to Place a legend on the axes.
The attribute Loc in
legend() is used to specify the location of the legend.Default value of loc is loc=”best” (upper left). The strings ‘upper left’, ‘upper right’, ‘lower left’, ‘lower right’ place the legend at the corresponding corner of the axes/figure.
The attribute bbox_to_anchor=(x, y) of legend() function is used to specify the coordinates of the legend, and the attribute ncol represents the number of columns that the legend has.It’s default value is 1.
matplotlib.pyplot.legend([“blue”, “green”], bbox_to_anchor=(0.75, 1.15), ncol=2)
The Following are some more attributes of function
- shadow: [None or bool] Whether to draw a shadow behind the legend.It’s Default value is None.
- markerscale: [None or int or float] The relative size of legend markers compared with the originally drawn ones.The Default is None.
- numpoints: [None or int] The number of marker points in the legend when creating a legend entry for a Line2D (line).The Default is None.
- fontsize: The font size of the legend.If the value is numeric the size will be the absolute font size in points.
- facecolor: [None or “inherit” or color] The legend’s background color.
- edgecolor: [None or “inherit” or color] The legend’s background patch edge color.
Ways to use legend() function in Python –
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