figure(num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=<class 'matplotlib.figure.Figure'>, clear=False, **kwargs)
If you are creating many figures, make sure you explicitly call .pyplot.close
on the figures you are not using, because this will enable pyplot to properly clean up the memory.
:None:None:`~matplotlib.rcParams` defines the default values, which can be modified in the matplotlibrc file.
A unique identifier for the figure.
If a figure with that identifier already exists, this figure is made active and returned. An integer refers to the Figure.number
attribute, a string refers to the figure label.
If there is no figure with the identifier or num is not given, a new figure is created, made active and returned. If num is an int, it will be used for the Figure.number
attribute, otherwise, an auto-generated integer value is used (starting at 1 and incremented for each new figure). If num is a string, the figure label and the window title is set to this value.
Width, height in inches.
The resolution of the figure in dots-per-inch.
The background color.
The border color.
If False, suppress drawing the figure frame.
Optionally use a custom .Figure
instance.
If True and the figure already exists, then it is cleared.
If False
use subplotpars. If True
adjust subplot parameters using :None:None:`.tight_layout` with default padding. When providing a dict containing the keys pad
, w_pad
, h_pad
, and rect
, the default :None:None:`.tight_layout` paddings will be overridden.
If True
use constrained layout to adjust positioning of plot elements. Like tight_layout
, but designed to be more flexible. See /tutorials/intermediate/constrainedlayout_guide
for examples. (Note: does not work with add_subplot
or ~.pyplot.subplot2grid
.)
See Figure
for other possible arguments.
The .Figure
instance returned will also be passed to new_figure_manager in the backends, which allows to hook custom .Figure
classes into the pyplot interface. Additional kwargs will be passed to the .Figure
init function.
Create a new figure, or activate an existing figure.
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal.windows._windows.kaiserscipy.signal.cosinescipy.signal.exponentialscipy.signal._filter_design.iirfilterscipy.signal._ltisys.lti.bodescipy.spatial._qhull.HalfspaceIntersectionscipy.signal.windows._windows.boxcarscipy.signal._ltisys.dlti.bodescipy.signal._spectral_py.periodogramscipy.spatial._qhull.ConvexHullscipy.signal._max_len_seq.max_len_seqscipy.signal.windows._windows.general_cosinescipy.signal.windows._windows.nuttallscipy.signal.blackmanscipy.signal.flattopscipy.signal.bartlettscipy.signal._spectral_py.istftscipy.spatial._kdtree.KDTree.query_ball_treescipy.signal.windows._windows.triangscipy.signal.windows._windows.general_gaussianscipy.signal.windows._windows.gaussianscipy.signal.windows._windows.flattopscipy.signal.windows._windows.exponentialscipy.signal._ltisys.dfreqrespscipy.signal._ltisys.freqrespscipy.signal.windows._windows.blackmanscipy.signal.windows._windows.cosinescipy.signal.windows._windows.barthannscipy.spatial._geometric_slerp.geometric_slerpscipy.signal.gaussianscipy.special._basic.diricscipy.signal.kaiserscipy.signal.chebwinscipy.signal._fir_filter_design.remezscipy.signal.boxcarscipy.interpolate._fitpack2.RectSphereBivariateSplinescipy.signal.general_gaussianscipy.signal.windows._windows.parzenscipy.signal._signaltools.lfilterscipy.signal.windows._windows.tukeyscipy.signal._ltisys.bodescipy.signal._filter_design.freqz_zpkscipy.signal.windows._windows.hannscipy.signal.windows._windows.taylorscipy.signal._waveforms.squarescipy.signal._filter_design.besselscipy.signal.hannscipy.signal.nuttallscipy.spatial._kdtree.KDTree.query_pairsscipy.signal.windows._windows.blackmanharrisscipy.signal._spectral_py.welchscipy.signal.windows._windows.bartlettscipy.signal.tukeyscipy.signal.blackmanharrisscipy.signal.triangscipy.signal._signaltools.resample_polyscipy.signal.windows._windows.chebwinscipy.signal.parzenscipy.signal.windows._windows.bohmanscipy.signal.bohmanscipy.signal.windows._windows.hammingscipy.signal.hammingscipy.signal._ltisys.dbodescipy.signal.barthannmatplotlibmatplotlib.figure.Figure.showmatplotlib.pyplot.subplotsmatplotlib.pyplotmatplotlib.backends.backend_pdf.PdfPagesHover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them