a h[@s`ddlZddlmZgdZedddZddZeddd Zedd d Z edd d Z dS)N) decorator)delaunay_plot_2dconvex_hull_plot_2dvoronoi_plot_2dc Ksddlm}|dur8|}|}||fd|i|St|ddd}|rb||fd|i|Sz*|d||fd|i|W||S||0dS)NraxZisholdcSsdS)NTrrrT/var/www/html/assistant/venv/lib/python3.9/site-packages/scipy/spatial/_plotutils.pyz_held_figure..T)Zmatplotlib.pyplotZpyplotfigureZgcagetattrZhold)funcobjrkwZpltZfigZwas_heldrrr _held_figures   rcCs^dtj|dd}|jdd|}|jdd|}||d|d||d|ddS)Ng?rZaxis)npptpminmaxZset_xlimZset_ylim)rpointsmarginZxy_minZxy_maxrrr_adjust_boundss rcCsX|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) rshape ValueErrorTplotZtriplot simplicescopyrr )Ztrirxyrrrr$s-  rcsddlm}jjddkr$td|jdddfjdddfdfdd jD}|||d d d t|j|j S) a& Plot the given convex hull diagram in 2-D Parameters ---------- hull : scipy.spatial.ConvexHull instance Convex hull to plot ax : matplotlib.axes.Axes instance, optional Axes to plot on Returns ------- fig : matplotlib.figure.Figure instance Figure for the plot See Also -------- ConvexHull Notes ----- Requires Matplotlib. Examples -------- >>> 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() rLineCollectionrrzConvex hull is not 2-DNrcsg|]}j|qSr)r).0simplexhullrr r z'convex_hull_plot_2d..ksolid)colors linestyle) matplotlib.collectionsr%rrrrr add_collectionrr )r)rr%Z line_segmentsrr(rr]s- * rc KsBddlm}|jjddkr$td|ddrj|dd }|j|jd d df|jd d dfd |d |d dr||jd d df|jd d dfd |dd}|dd}|dd}|jjdd}t j |jdd} g} g} t |j |j D]\} } t | } t | dkr.| |j| q| | dkd}|j| d|j| d}|t j|}t |d |dg}|j| jdd}t t ||||}|jr| }t| | }|j||| |}| |j||gq||| |||dd||| |||ddt||j|jS)a; Plot the given Voronoi diagram in 2-D Parameters ---------- vor : scipy.spatial.Voronoi instance Diagram to plot ax : matplotlib.axes.Axes instance, optional Axes to plot on show_points : bool, optional Add the Voronoi points to the plot. show_vertices : bool, optional Add the Voronoi vertices to the plot. line_colors : string, optional Specifies the line color for polygon boundaries line_width : float, optional Specifies the line width for polygon boundaries line_alpha : float, optional Specifies the line alpha for polygon boundaries point_size : float, optional Specifies the size of points Returns ------- fig : matplotlib.figure.Figure instance Figure for the plot See Also -------- Voronoi Notes ----- Requires Matplotlib. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy.spatial import Voronoi, voronoi_plot_2d Create a set of points for the example: >>> rng = np.random.default_rng() >>> points = rng.random((10,2)) Generate the Voronoi diagram for the points: >>> vor = Voronoi(points) Use `voronoi_plot_2d` to plot the diagram: >>> fig = voronoi_plot_2d(vor) Use `voronoi_plot_2d` to plot the diagram again, with some settings customized: >>> fig = voronoi_plot_2d(vor, show_vertices=False, line_colors='orange', ... line_width=2, line_alpha=0.6, point_size=2) >>> plt.show() rr$rrzVoronoi diagram is not 2-DZ show_pointsT point_sizeN.)Z markersizeZ show_verticesr line_colorsr+ line_widthg? line_alpharr,)r-Zlwalphar.Zdashed)r/r%rrrgetrZverticesmeanrrzipZ ridge_pointsZridge_verticesZasarrayallappendZlinalgZnormarraysigndotZ furthest_siteabsrrr0rr )Zvorrrr%r1r3r4r5centerZ ptp_boundZfinite_segmentsZinfinite_segmentsZpointidxr'itnZmidpoint directionZ aspect_factorZ far_pointrrrrsX@   . *     r)N)N)N)N) numpyrZscipy._lib.decoratorrZ _decorator__all__rrrrrrrrrs   8 ;