o ?Hh@s`ddlZddlmZgdZedddZddZeddd Zedd d Z edd d Z dS)N) decorator)delaunay_plot_2dconvex_hull_plot_2dvoronoi_plot_2dc Ksddlm}|dur|}|}||fd|i|St|ddd}|r1||fd|i|Sz|d||fd|i|W||S||w)NraxisholdcSsdS)NTrrrX/home/air/sanwanet/gpt-api/venv/lib/python3.10/site-packages/scipy/spatial/_plotutils.pysz_held_figure..T)matplotlib.pyplotpyplotfiguregcagetattrhold)funcobjrkwpltfigwas_heldrrr _held_figures  rcCs^dtj|dd}|jdd|}|jdd|}||d|d||d|ddS)Ng?raxis)npptpminmaxset_xlimset_ylim)rpointsmarginxy_minxy_maxrrr _adjust_boundss r%cCsX|jjddkr td|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 )trirxyrrr r$s-  rcsddlm}jjddkrtd|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() rLineCollectionrr&zConvex hull is not 2-DNr'csg|]}j|qSr)r!).0simplexhullrr sz'convex_hull_plot_2d..ksolid)colors linestyle) matplotlib.collectionsr3r!r(r)r+r-add_collectionr%r )r7rr3 line_segmentsrr6r r]s -* rc Ks<ddlm}|jjddkrtd|ddr5|dd }|j|jd d df|jd d dfd |d |d drP||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)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() rr2rr&zVoronoi diagram is not 2-D show_pointsT point_sizeN.) markersize show_verticesr' line_colorsr9 line_widthg? line_alpharr:)r;lwalphar<dashed)r=r3r!r(r)getr+verticesmeanrrzip ridge_pointsridge_verticesasarrayallappendlinalgnormarraysigndot furthest_siteabsrrr>r%r )vorrrr3rArErFrGcenter ptp_boundfinite_segmentsinfinite_segmentspointidxr5itnmidpoint direction aspect_factor far_pointrrr rsX D  . *     r)N) numpyrscipy._lib.decoratorr _decorator__all__rr%rrrrrrr s   8 ;