(phvSSKrSSKJr /SQr\S Sj5rSr\S Sj5r\S Sj5r \S Sj5r g) N) decorator)delaunay_plot_2dconvex_hull_plot_2dvoronoi_plot_2dc <SSKJn Uc+UR5nUR5nU"U4SU0UD6$[ USS5"5nU(a U"U4SU0UD6$UR S5 U"U4SU0UD6UR U5 $!UR U5 f=f)Nraxisholdcg)NTr K/var/www/html/venv/lib/python3.13/site-packages/scipy/spatial/_plotutils.py_held_figure..sTr T)matplotlib.pyplotpyplotfiguregcagetattrhold)funcobjrkwpltfigwas_helds r _held_figurers# zjjl WWYC%B%"%%r8\24HC%B%"%%  C%B%"% s BBcS[R"USS9-nURSS9U- nURSS9U-nUR USUS5 UR USUS5 g)Ng?raxis)npptpminmaxset_xlimset_ylim)rpointsmarginxy_minxy_maxs r _adjust_boundsr+sm 266&q) )F ZZQZ & (F ZZQZ & (FKKq 6!9%KKq 6!9%r c<URRSS:wa [S5eURRup#UR X#S5 UR X#UR R55 [XR5 UR$)a 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() r z!Delaunay triangulation is not 2-Do) r'shape ValueErrorTplottriplot simplicescopyr+r)trirxys r rr$svZ zza<== ::<>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy.spatial import ConvexHull, convex_hull_plot_2d The convex hull of a random set of points: >>> rng = np.random.default_rng() >>> points = rng.random((30, 2)) >>> hull = ConvexHull(points) Plot it: >>> _ = convex_hull_plot_2d(hull) >>> plt.show() rLineCollectionr r-zConvex hull is not 2-DNr.ksolid)colors linestyle) matplotlib.collectionsr;r'r/r0r2r4add_collectionr+r)hullrr;simplex line_segmentss r rr]sZ6 {{q 122GGDKK1 t{{1a40#69=Hg[[)MHn],//6892{{# 99 Is2Cc SSKJn URRSS:wa [ S5eUR SS5(aFUR SS 5nUR URS S 2S4URS S 2S4S US 9 UR S S5(a5UR URS S 2S4URS S 2S4S 5 UR SS5nUR SS5nUR SS5nURRSS9n[R"URSS9n /n /n [URUR5GHup[R"U 5n [R"U S:5(a U R!URU 5 MZXS:SnURU SURU S- nU[R"R%U5-n[R&"US*US/5nURU RSS9n[R("[R*"UU- U55U-nUR,(aU*n[/U R15U R35- 5nURUUU R15-U--nU R!URUU/5 GM UR5U"U UUUSS95 UR5U"U UUUSS95 [7XR5 UR8$)a 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() rr:r r-zVoronoi diagram is not 2-D show_pointsT point_sizeN.) markersize show_verticesr. line_colorsr< line_widthg? line_alpharr=)r>lwalphar?dashed)r@r;r'r/r0getr2verticesmeanr!r"zip ridge_pointsridge_verticesasarrayallappendlinalgnormarraysigndot furthest_siteabsr$r#rAr+r)vorrrr;rGrKrLrMcenter ptp_boundfinite_segmentsinfinite_segmentspointidxrCitnmidpoint direction aspect_factor far_points r rrsH6 zza566 vvmT""VVL$/   1a4 #**QT"2CJO vvot$$  QT"CLLA$6<&&,K c*J c*J ZZ__!_ $Fszz*IO !1!133E3EF**W% 66'Q,    " "3<<#8 91 %a(A 8A;'#**Xa[*AAA " "A1Q4%1'Azz(+00a08Hx&'8! <=AI!!&J  )--/ ABM Q)immo*E *UUI  $ $cll1oy%A B%G(n_,7(2+5/6 89 n%6,7(2+5/7 9: 2zz" 99r )N) numpyr!scipy._lib.decoratorr _decorator__all__rr+rrrr r r rrsi8 H  (&55p88vxxr