scipy.interpolate.interp2d.__call__

interp2d.__call__(x, y, dx=0, dy=0, assume_sorted=False)

Interpolate the function.

Parameters:

x : 1D array

x-coordinates of the mesh on which to interpolate.

y : 1D array

y-coordinates of the mesh on which to interpolate.

dx : int >= 0, < kx

Order of partial derivatives in x.

dy : int >= 0, < ky

Order of partial derivatives in y.

assume_sorted : bool, optional

If False, values of x and y can be in any order and they are sorted first. If True, x and y have to be arrays of monotonically increasing values.

Returns:

z : 2D array with shape (len(y), len(x))

The interpolated values.