interpolate_to_points¶
-
metpy.interpolate.
interpolate_to_points
(points, values, xi, interp_type='linear', minimum_neighbors=3, gamma=0.25, kappa_star=5.052, search_radius=None, rbf_func='linear', rbf_smooth=0)[source]¶ Interpolate unstructured point data to the given points.
This function interpolates the given values valid at
points
to the points xi. This is modeled afterscipy.interpolate.griddata
, but acts as a generalization of it by including the following types of interpolation:- Linear
- Nearest Neighbor
- Cubic
- Radial Basis Function
- Natural Neighbor (2D Only)
- Barnes (2D Only)
- Cressman (2D Only)
Parameters: - points (array_like, shape (n, D)) – Coordinates of the data points.
- values (array_like, shape (n,)) – Values of the data points.
- xi (array_like, shape (M, D)) – Points to interpolate the data onto.
- interp_type (str) – What type of interpolation to use. Available options include:
1) “linear”, “nearest”, “cubic”, or “rbf” from
scipy.interpolate
. 2) “natural_neighbor”, “barnes”, or “cressman” frommetpy.interpolate
. Default “linear”. - minimum_neighbors (int) – Minimum number of neighbors needed to perform barnes or cressman interpolation for a point. Default is 3.
- gamma (float) – Adjustable smoothing parameter for the barnes interpolation. Default 0.25.
- kappa_star (float) – Response parameter for barnes interpolation, specified nondimensionally in terms of the Nyquist. Default 5.052
- search_radius (float) – A search radius to use for the barnes and cressman interpolation schemes. If search_radius is not specified, it will default to the average spacing of observations.
- rbf_func (str) – Specifies which function to use for Rbf interpolation.
Options include: ‘multiquadric’, ‘inverse’, ‘gaussian’, ‘linear’, ‘cubic’,
‘quintic’, and ‘thin_plate’. Defualt ‘linear’. See
scipy.interpolate.Rbf
for more information. - rbf_smooth (float) – Smoothing value applied to rbf interpolation. Higher values result in more smoothing.
Returns: values_interpolated ((M,) ndarray) – Array representing the interpolated values for each input point in xi.
Notes
This function primarily acts as a wrapper for the individual interpolation routines. The individual functions are also available for direct use.
See also