+ ,ix^RIt^RIHt.ROt]R Rl4tRt]R Rl4t]R Rl4t ]R Rl4t R#) N) decoratorc @^RIHpVf,VP4pVP4pV!V3RV/VB#\ VRR4!4pV'd V!V3RV/VB#VP R4V!V3RV/VBVP V4# TP T4i;i)rNaxisholdcR#)Tr:/usr/lib/python3/dist-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 B Bc(R\P!V^R7,pVP^R7V, pVP^R7V,pVP V^,V^,4VP V^,V^,4R#)g?axisN)npptpminmaxset_xlimset_ylim)rpointsmarginxy_minxy_maxs&& r _adjust_boundsr'sm 266&q) )F ZZQZ & (F ZZQZ & (FKKq 6!9%KKq 6!9%r cFVPP^,^8wd \R4hVPPwr#VP W#R4VP W#VP P44\WP4VP#)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() z!Delaunay triangulation is not 2-Do) r#shape ValueErrorTplottriplot simplicescopyr'r)trirxys&& r delaunay_plot_2dr4$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() LineCollectionzConvex hull is not 2-Dr)ksolid)colors linestyleNNNrr=) matplotlib.collectionsr7r#r*r+r-r/add_collectionr'r)hullrr7simplex line_segmentss&& r convex_hull_plot_2drE]sZ6 {{q 122GGDKK t{{40#69=Hg[[))MHn],//6892{{# 99 Is7Cc ^RIHpVPP^,^8wd \ R4hVP RR4'dJVP RR4pVP VPR,VPR,RVR7VP R R4'd6VP VPR,VPR,R 4VP R R 4pVP R R4pVP RR4pVPP^R7p\P!VP^R7p .p .p \VPVP4EFwr\P!V 4p \P!V ^84'd%V P!VPV ,4K_W^8,^,pVPV ^,,VPV ^,,, pV\P"P%V4,p\P&!V^,)V^,.4pVPV ,P^R7p\P(!\P*!VV, V44V,pVP,'dV)p\/V P14V P34, 4pVPV,VV P14,V,,pV P!VPV,V.4EK VP5V!V VVVRR74VP5V!V VVVRR74\7WP4VP8#)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() r6zVoronoi diagram is not 2-D show_pointsT point_sizeN.) markersize show_verticesr) line_colorsr8 line_widthg? line_alpharr9)r:lwalphar;dashedr<r>)r@r7r#r*r+getr-verticesmeanrrzip ridge_pointsridge_verticesasarrayallappendlinalgnormarraysigndot furthest_siteabsr rrAr'r)vorrrr7rHrLrMrNcenter ptp_boundfinite_segmentsinfinite_segmentspointidxrCitnmidpoint direction aspect_factor far_points&&, r voronoi_plot_2drosH6 zza566 vvmT""VVL$/   4 #**T"2CJO vvot$$  T"CLL$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 )r4rEro)N) numpyrscipy._lib.decoratorr _decorator__all__rr'r4rErorr r rtsi8 H  (&55p88vxxr