
    bi                     8    d dl Zg dZd Zd ZddZddZddZy)	    N)delaunay_plot_2dconvex_hull_plot_2dvoronoi_plot_2dc                  J    dd l m}  | j                         j                         S )Nr   )matplotlib.pyplotpyplotfiguregca)plts    S/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/scipy/spatial/_plotutils.py	_get_axesr      s    #::<    c                     dt        j                  |d      z  }|j                  d      |z
  }|j                  d      |z   }| j	                  |d   |d          | j                  |d   |d          y )Ng?r   axis   )npptpminmaxset_xlimset_ylim)axpointsmarginxy_minxy_maxs        r   _adjust_boundsr      sm    266&q))FZZQZ&(FZZQZ&(FKKq	6!9%KKq	6!9%r   c                 ^   | j                   j                  d   dk7  rt        d      | j                   j                  \  }}|xs
 t	               }|j                  ||d       |j                  ||| j                  j                                t        || 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()

    r      z!Delaunay triangulation is not 2-Do)r   shape
ValueErrorTr   plottriplot	simplicescopyr   r	   )trir   xys       r   r   r      s    X zza<==::<<DAq		y{BGGAq#JJq!S]]'')*2szz"99r   c                    ddl m} | j                  j                  d   dk7  rt	        d      |xs
 t               }|j                  | j                  dddf   | j                  dddf   d       | j                  D cg c]  }| j                  |    }}|j                   ||dd	
             t        || j                         |j                  S c c}w )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()

    r   LineCollectionr   r    zConvex hull is not 2-DNr!   ksolid)colors	linestyle)matplotlib.collectionsr.   r   r"   r#   r   r%   r'   add_collectionr   r	   )hullr   r.   simplexline_segmentss        r   r   r   N   s    X 6{{q 122		y{BGGDKK1t{{1a40#69=HgT[[)HMHn],//68 9 2t{{#99 Is   ?Cc           	         ddl m} | j                  j                  d   dk7  rt	        d      |xs
 t               }|j                  dd      rI|j                  dd	      }|j                  | j                  d	d	df   | j                  d	d	df   d
|       |j                  dd      r5|j                  | j                  d	d	df   | j                  d	d	df   d       |j                  dd      }|j                  dd      }|j                  dd      }| j                  j                  d      }t        j                  | j                  d      }	g }
g }t        | j                  | j                        D ]  \  }}t        j                  |      }t        j                   |dk\        r|
j#                  | j                  |          S||dk\     d   }| j                  |d      | j                  |d      z
  }|t        j$                  j'                  |      z  }t        j(                  |d    |d   g      }| j                  |   j                  d      }t        j*                  t        j,                  ||z
  |            |z  }| j.                  r| }t1        |	j3                         |	j5                         z        }| j                  |   ||	j3                         z  |z  z   }|j#                  | j                  |   |g        |j7                   ||
|||d             |j7                   |||||d             t9        || j                         |j:                  S )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()

    r   r-   r   r    zVoronoi diagram is not 2-Dshow_pointsT
point_sizeN.)
markersizeshow_verticesr!   line_colorsr/   
line_widthg      ?
line_alphar   r0   )r1   lwalphar2   dashed)r3   r.   r   r"   r#   r   getr%   verticesmeanr   r   zipridge_pointsridge_verticesasarrayallappendlinalgnormarraysigndotfurthest_siteabsr   r   r4   r   r	   )vorr   kwr.   r:   r>   r?   r@   center	ptp_boundfinite_segmentsinfinite_segmentspointidxr6   itnmidpoint	directionaspect_factor	far_points                        r   r   r      s   F 6
zza566		y{B	vvmT"VVL$/



1a4 #**QT"2CJO	vvot$
QT"CLLA$6<&&,Kc*Jc*JZZ__!_$Fszz*IO !1!133E3EF C'**W%66'Q,""3<<#891%a(A

8A;'#**Xa[*AAA""A1Q4%1'Azz(+00a08Hx&'8! <=AI!!&J		)--/ ABMQ)immo*E*UUI$$cll1oy%AB%C( n_,7(2+5/6	8 9
 n%6,7(2+5/7	9 : 2szz"99r   )N)numpyr   __all__r   r   r   r   r    r   r   <module>re      s)    
H&7t9xzr   