gddlZddlmZgdZed dZdZed dZed dZ ed dZ dS) N) decorator)delaunay_plot_2dconvex_hull_plot_2dvoronoi_plot_2dc fddlm}|3|}|}||fd|i|St |dd}|r ||fd|i|S |d||fd|i|||S#||wxYw)NraxisholdcdS)NTr N/granary/edev/quantum/lib/python3.11/site-packages/scipy/spatial/_plotutils.pyz_held_figure..sTr T)matplotlib.pyplotpyplotfiguregcagetattrhold)funcobjrkwpltfigwas_helds r _held_figurers###### zjjll WWYYtC%%B%"%%%3wr8\\2244H&tC%%B%"%%%  tC%%B%"%% s $BB0c$dtj|dz}|d|z }|d|z}||d|d||d|ddS)Ng?raxis)npptpminmaxset_xlimset_ylim)rpointsmarginxy_minxy_maxs r _adjust_boundsr*s 26&q))) )F ZZQZ  & (F ZZQZ  & (FKKq 6!9%%%KKq 6!9%%%%%r c,|jjddkrtd|jj\}}|||d||||jt||j|j S)aB Plot the given Delaunay triangulation in 2-D Parameters ---------- tri : scipy.spatial.Delaunay instance Triangulation to plot ax : matplotlib.axes.Axes instance, optional Axes to plot on Returns ------- fig : matplotlib.figure.Figure instance Figure for the plot See Also -------- Delaunay matplotlib.pyplot.triplot Notes ----- Requires Matplotlib. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy.spatial import Delaunay, delaunay_plot_2d The Delaunay triangulation of a set of random points: >>> rng = np.random.default_rng() >>> points = rng.random((30, 2)) >>> tri = Delaunay(points) Plot it: >>> _ = delaunay_plot_2d(tri) >>> plt.show() rz!Delaunay triangulation is not 2-Do) r&shape ValueErrorTplottriplot simplicescopyr*r)trirxys r rr$sZ za<=== :>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy.spatial import ConvexHull, convex_hull_plot_2d The convex hull of a random set of points: >>> rng = np.random.default_rng() >>> points = rng.random((30, 2)) >>> hull = ConvexHull(points) Plot it: >>> _ = convex_hull_plot_2d(hull) >>> plt.show() rLineCollectionrr,zConvex hull is not 2-DNr-c*g|]}j|Sr )r&).0simplexhulls r z'convex_hull_plot_2d..s HHHgT[)HHHr ksolid)colors linestyle) matplotlib.collectionsr:r&r.r/r1r3add_collectionr*r)r>rr: line_segmentss` r rr]sZ655555 {q  1222GGDK1 t{111a40#666HHHHHHHMnn],//68889992t{### 9r c ddlm}|jjddkrt d|ddrM|dd }||jd d df|jd d dfd | |d dr5||jd d df|jd d dfd |dd}|dd}|dd}|jd}tj |jd} g} g} t|j |j D]\} } tj| } tj| dkr!| |j| S| | dkd}|j| d|j| dz }|tj|z}tj|d |dg}|j| d}tjtj||z ||z}|jr| }t/| | z }|j||| z|zz}| |j||g||| |||d||| |||dt7||j|jS)ae Plot the given Voronoi diagram in 2-D Parameters ---------- vor : scipy.spatial.Voronoi instance Diagram to plot ax : matplotlib.axes.Axes instance, optional Axes to plot on show_points : bool, optional Add the Voronoi points to the plot. show_vertices : bool, optional Add the Voronoi vertices to the plot. line_colors : string, optional Specifies the line color for polygon boundaries line_width : float, optional Specifies the line width for polygon boundaries line_alpha : float, optional Specifies the line alpha for polygon boundaries point_size : float, optional Specifies the size of points Returns ------- fig : matplotlib.figure.Figure instance Figure for the plot See Also -------- Voronoi Notes ----- Requires Matplotlib. For degenerate input, including collinearity and other violations of general position, it may be preferable to calculate the Voronoi diagram with Qhull options ``QJ`` for random joggling, or ``Qt`` to enforce triangulated output. Otherwise, some Voronoi regions may not be visible. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy.spatial import Voronoi, voronoi_plot_2d Create a set of points for the example: >>> rng = np.random.default_rng() >>> points = rng.random((10,2)) Generate the Voronoi diagram for the points: >>> vor = Voronoi(points) Use `voronoi_plot_2d` to plot the diagram: >>> fig = voronoi_plot_2d(vor) Use `voronoi_plot_2d` to plot the diagram again, with some settings customized: >>> fig = voronoi_plot_2d(vor, show_vertices=False, line_colors='orange', ... line_width=2, line_alpha=0.6, point_size=2) >>> plt.show() rr9rr,zVoronoi diagram is not 2-D show_pointsT point_sizeN.) markersize show_verticesr- line_colorsr@ line_widthg? line_alpharrA)rBlwalpharCdashed)rDr:r&r.r/getr1verticesmeanr r!zip ridge_pointsridge_verticesasarrayallappendlinalgnormarraysigndot furthest_siteabsr#r"rEr*r)vorrrr:rIrMrNrOcenter ptp_boundfinite_segmentsinfinite_segmentspointidxr=itnmidpoint direction aspect_factor far_points r rrssH655555 za5666 vvmT""PVVL$//   111a4 #*QQQT"2CJOOO vvot$$=  QQQT"CLA$6<<<&&,,K c**J c**J Z__!_ $ $Fsz***IO !133EFFCC'*W%% 6'Q,   C  " "3<#8 9 9 9 91 %a(A 8A;'#*Xa[*AAA "" "A1Q4%1''Az(+00a088Hx&'8! < <==AI! '&J  )--// ABBM Q)immoo*E *UUI  $ $cl1oy%A B B B Bnn_,7(2+5/6 888999 nn%6,7(2+5/7 999::: 2sz""" 9r )N) numpyr scipy._lib.decoratorr _decorator__all__rr*rrrr r r rts888888 H H H  (&&&5555p8888vxxxxxxr