matplotlib.pyplot.figure #

matplotlib.pyplot.figure(num=None,figsize=None,dpi=None,*,facecolor=None,edgecolor=None,frameon=True,FigureClass=<class'matplotlib.figure.Figure'>,clear=False,**kwargs)[source]#

Create a new figure, or activate an existing figure.

Parameters:

numint or str orFigure orSubFigure, optional

A unique identifier for the figure.

If a figure with that identifier already exists, this figure is madeactive and returned. An integer refers to theFigure.numberattribute, a string refers to the figure label.

If there is no figure with the identifier ornum is not given, a newfigure is created, made active and returned. Ifnum is an int, itwill be used for theFigure.number attribute, otherwise, anauto-generated integer value is used (starting at 1 and incrementedfor each new figure). Ifnum is a string, the figure label and thewindow title is set to this value. If num is aSubFigure, itsparentFigure is activated.

figsize(float, float), default:rcParams["figure.figsize"] (default:[6.4,4.8])

Width, height in inches.

dpifloat, default:rcParams["figure.dpi"] (default:100.0)

The resolution of the figure in dots-per-inch.

facecolorcolor, default:rcParams["figure.facecolor"] (default:'white')

The background color.

edgecolorcolor, default:rcParams["figure.edgecolor"] (default:'white')

The border color.

frameonbool, default: True

If False, suppress drawing the figure frame.

FigureClasssubclass ofFigure

If set, an instance of this subclass will be created, rather than aplainFigure.

clearbool, default: False

If True and the figure already exists, then it is cleared.

layout{'constrained', 'compressed', 'tight', 'none',LayoutEngine, None}, default: None

The layout mechanism for positioning of plot elements to avoidoverlapping Axes decorations (labels, ticks, etc). Note that layoutmanagers can measurably slow down figure display.

'constrained': The constrained layout solver adjusts Axes sizesto avoid overlapping Axes decorations. Can handle complex plotlayouts and colorbars, and is thus recommended.
SeeConstrained layout guidefor examples.
'compressed': uses the same algorithm as 'constrained', butremoves extra space between fixed-aspect-ratio Axes. Best forsimple grids of Axes.
'tight': Use the tight layout mechanism. This is a relativelysimple algorithm that adjusts the subplot parameters so thatdecorations do not overlap. SeeFigure.set_tight_layout forfurther details.
'none': Do not use a layout engine.
ALayoutEngine instance. Builtin layout classes areConstrainedLayoutEngine andTightLayoutEngine, more easilyaccessible by 'constrained' and 'tight'. Passing an instanceallows third parties to provide their own layout engine.

If not given, fall back to using the parameterstight_layout andconstrained_layout, including their config defaultsrcParams["figure.autolayout"] (default:False) andrcParams["figure.constrained_layout.use"] (default:False).

**kwargs

Additional keyword arguments are passed to theFigure constructor.

Returns:

Figure

Notes

A newly created figure is passed to thenew_managermethod or thenew_figure_manager function provided by the currentbackend, which install a canvas and a manager on the figure.

Once this is done,rcParams["figure.hooks"] (default:[]) are called, one at a time, on thefigure; these hooks allow arbitrary customization of the figure (e.g.,attaching callbacks) or of associated elements (e.g., modifying thetoolbar). Seemplcvd -- an example of figure hook for an example oftoolbar customization.

If you are creating many figures, make sure you explicitly callpyplot.close on the figures you are not using, because this willenable pyplot to properly clean up the memory.

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matplotlib.pyplot.figure#

Examples usingmatplotlib.pyplot.figure#

matplotlib.pyplot.figure #

Examples using`matplotlib.pyplot.figure`#