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matplotlib.pyplot.figlegend

matplotlib.pyplot.figlegend(*args, **kwargs)[source]

Place a legend on the figure.

To make a legend from existing artists on every axes:

figlegend()

To make a legend for a list of lines and labels:

figlegend(
    (line1, line2, line3),
    ('label1', 'label2', 'label3'),
    loc='upper right')

These can also be specified by keyword:

figlegend(
    handles=(line1, line2, line3),
    labels=('label1', 'label2', 'label3'),
    loc='upper right')
Parameters:
handles : sequence of Artist, optional

A list of Artists (lines, patches) to be added to the legend. Use this together with labels, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

The length of handles and labels should be the same in this case. If they are not, they are truncated to the smaller length.

labels : sequence of strings, optional

A list of labels to show next to the artists. Use this together with handles, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

Returns:
matplotlib.legend.Legend instance
Other Parameters:
loc : str or pair of floats, default: rcParams["legend.loc"] ('best' for axes, 'upper right' for figures)

The location of the legend.

The strings 'upper left', 'upper right', 'lower left', 'lower right' place the legend at the corresponding corner of the axes/figure.

The strings 'upper center', 'lower center', 'center left', 'center right' place the legend at the center of the corresponding edge of the axes/figure.

The string 'center' places the legend at the center of the axes/figure.

The string 'best' places the legend at the location, among the nine locations defined so far, with the minimum overlap with other drawn artists. This option can be quite slow for plots with large amounts of data; your plotting speed may benefit from providing a specific location.

The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored).

For back-compatibility, 'center right' (but no other location) can also be spelled 'right', and each "string" locations can also be given as a numeric value:

Location String Location Code
'best' 0
'upper right' 1
'upper left' 2
'lower left' 3
'lower right' 4
'right' 5
'center left' 6
'center right' 7
'lower center' 8
'upper center' 9
'center' 10
bbox_to_anchor : BboxBase, 2-tuple, or 4-tuple of floats

Box that is used to position the legend in conjunction with loc. Defaults to axes.bbox (if called as a method to Axes.legend) or figure.bbox (if Figure.legend). This argument allows arbitrary placement of the legend.

Bbox coordinates are interpreted in the coordinate system given by bbox_transform, with the default transform Axes or Figure coordinates, depending on which legend is called.

If a 4-tuple or BboxBase is given, then it specifies the bbox (x, y, width, height) that the legend is placed in. To put the legend in the best location in the bottom right quadrant of the axes (or figure):

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)
ncol : integer

The number of columns that the legend has. Default is 1.

prop : None or matplotlib.font_manager.FontProperties or dict

The font properties of the legend. If None (default), the current matplotlib.rcParams will be used.

fontsize : int or float or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}

Controls the font size of the legend. If the value is numeric the size will be the absolute font size in points. String values are relative to the current default font size. This argument is only used if prop is not specified.

numpoints : None or int

The number of marker points in the legend when creating a legend entry for a Line2D (line). Default is None, which will take the value from rcParams["legend.numpoints"].

scatterpoints : None or int

The number of marker points in the legend when creating a legend entry for a PathCollection (scatter plot). Default is None, which will take the value from rcParams["legend.scatterpoints"].

scatteryoffsets : iterable of floats

The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. 0.0 is at the base the legend text, and 1.0 is at the top. To draw all markers at the same height, set to [0.5]. Default is [0.375, 0.5, 0.3125].

markerscale : None or int or float

The relative size of legend markers compared with the originally drawn ones. Default is None, which will take the value from rcParams["legend.markerscale"].

markerfirst : bool

If True, legend marker is placed to the left of the legend label. If False, legend marker is placed to the right of the legend label. Default is True.

frameon : None or bool

Control whether the legend should be drawn on a patch (frame). Default is None, which will take the value from rcParams["legend.frameon"].

fancybox : None or bool

Control whether round edges should be enabled around the FancyBboxPatch which makes up the legend's background. Default is None, which will take the value from rcParams["legend.fancybox"].

shadow : None or bool

Control whether to draw a shadow behind the legend. Default is None, which will take the value from rcParams["legend.shadow"].

framealpha : None or float

Control the alpha transparency of the legend's background. Default is None, which will take the value from rcParams["legend.framealpha"]. If shadow is activated and framealpha is None, the default value is ignored.

facecolor : None or "inherit" or a color spec

Control the legend's background color. Default is None, which will take the value from rcParams["legend.facecolor"]. If "inherit", it will take rcParams["axes.facecolor"].

edgecolor : None or "inherit" or a color spec

Control the legend's background patch edge color. Default is None, which will take the value from rcParams["legend.edgecolor"] If "inherit", it will take rcParams["axes.edgecolor"].

mode : {"expand", None}

If mode is set to "expand" the legend will be horizontally expanded to fill the axes area (or bbox_to_anchor if defines the legend's size).

bbox_transform : None or matplotlib.transforms.Transform

The transform for the bounding box (bbox_to_anchor). For a value of None (default) the Axes' transAxes transform will be used.

title : str or None

The legend's title. Default is no title (None).

title_fontsize: str or None

The fontsize of the legend's title. Default is the default fontsize.

borderpad : float or None

The fractional whitespace inside the legend border. Measured in font-size units. Default is None, which will take the value from rcParams["legend.borderpad"].

labelspacing : float or None

The vertical space between the legend entries. Measured in font-size units. Default is None, which will take the value from rcParams["legend.labelspacing"].

handlelength : float or None

The length of the legend handles. Measured in font-size units. Default is None, which will take the value from rcParams["legend.handlelength"].

handletextpad : float or None

The pad between the legend handle and text. Measured in font-size units. Default is None, which will take the value from rcParams["legend.handletextpad"].

borderaxespad : float or None

The pad between the axes and legend border. Measured in font-size units. Default is None, which will take the value from rcParams["legend.borderaxespad"].

columnspacing : float or None

The spacing between columns. Measured in font-size units. Default is None, which will take the value from rcParams["legend.columnspacing"].

handler_map : dict or None

The custom dictionary mapping instances or types to a legend handler. This handler_map updates the default handler map found at matplotlib.legend.Legend.get_legend_handler_map().

Notes

Not all kinds of artist are supported by the legend command. See Legend guide for details.