wradlib.ipol.RectGrid¶

class wradlib.ipol.RectGrid(src, trg, method='linear')¶

Interpolation on a 2d grid in arbitrary dimensions.

The source data must be defined on a regular grid, the grid spacing however may be uneven. Linear, nearest-neighbour and spline interpolation are supported.

Based on scipy.interpolate.interpn, uses: - nearest scipy.interpolate.RegularGridInterpolator - linear scipy.interpolate.RegularGridInterpolator - splinef2d scipy.interpolate.RectBivariateSpline

Parameters

src (numpy:numpy.ndarray of floats) – 3d array of shape (…, 2) The points defining the regular grid in n dimensions.
trg (numpy:numpy.ndarray of floats) – Array of shape (…, ndim) The coordinates to sample the gridded data at

Keyword Arguments

method (str) – Method of interpolation used, defaults to ‘linear’.

__call__(values, **kwargs)

Evaluate interpolator for values given at the source points.

`grid`
`image`
`ipol_grid`
`ipol_points`
`is_grid`
`points`
`upper`
`xdim`
`ydim`