Module « scipy.interpolate »

Classe « LinearNDInterpolator »

Informations générales

Héritage

builtins.object
    NDInterpolatorBase
        LinearNDInterpolator

Définition

class LinearNDInterpolator(NDInterpolatorBase):

Description _{[extrait de LinearNDInterpolator.__doc__]}

    LinearNDInterpolator(points, values, fill_value=np.nan, rescale=False)

    Piecewise linear interpolant in N > 1 dimensions.

    .. versionadded:: 0.9

    Methods
    -------
    __call__

    Parameters
    ----------
    points : ndarray of floats, shape (npoints, ndims); or Delaunay
        Data point coordinates, or a precomputed Delaunay triangulation.
    values : ndarray of float or complex, shape (npoints, ...)
        Data values.
    fill_value : float, optional
        Value used to fill in for requested points outside of the
        convex hull of the input points.  If not provided, then
        the default is ``nan``.
    rescale : bool, optional
        Rescale points to unit cube before performing interpolation.
        This is useful if some of the input dimensions have
        incommensurable units and differ by many orders of magnitude.

    Notes
    -----
    The interpolant is constructed by triangulating the input data
    with Qhull [1]_, and on each triangle performing linear
    barycentric interpolation.

    Examples
    --------
    We can interpolate values on a 2D plane:

    >>> from scipy.interpolate import LinearNDInterpolator
    >>> import matplotlib.pyplot as plt
    >>> rng = np.random.default_rng()
    >>> x = rng.random(10) - 0.5
    >>> y = rng.random(10) - 0.5
    >>> z = np.hypot(x, y)
    >>> X = np.linspace(min(x), max(x))
    >>> Y = np.linspace(min(y), max(y))
    >>> X, Y = np.meshgrid(X, Y)  # 2D grid for interpolation
    >>> interp = LinearNDInterpolator(list(zip(x, y)), z)
    >>> Z = interp(X, Y)
    >>> plt.pcolormesh(X, Y, Z, shading='auto')
    >>> plt.plot(x, y, "ok", label="input point")
    >>> plt.legend()
    >>> plt.colorbar()
    >>> plt.axis("equal")
    >>> plt.show()

    See also
    --------
    griddata :
        Interpolate unstructured D-D data.
    NearestNDInterpolator :
        Nearest-neighbor interpolation in N dimensions.
    CloughTocher2DInterpolator :
        Piecewise cubic, C1 smooth, curvature-minimizing interpolant in 2D.

    References
    ----------
    .. [1] http://www.qhull.org/

    

Constructeur(s)

Signature du constructeur	Description
__init__(self, points, values, fill_value=nan, rescale=False)

Liste des opérateurs

Opérateurs hérités de la classe object

__eq__, __ge__, __gt__, __le__, __lt__, __ne__

Méthodes héritées de la classe NDInterpolatorBase

__call__, __init_subclass__, __subclasshook__

Méthodes héritées de la classe object

__delattr__, __dir__, __format__, __getattribute__, __hash__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__