wradlib.ipol.RectGrid

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wradlib.ipol.RectGrid#

class wradlib.ipol.RectGrid(src, trg, *, method='linear')[source]#

Bases: RectGridBase

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.ndarray) – 3d array of shape (…, 2) The points defining the regular grid in n dimensions.

  • trg (numpy.ndarray) – 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

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