scipy.interpolate.interp2d.__call__#
- interp2d.__call__(x, y, dx=0, dy=0, assume_sorted=False)[source]#
Interpolate the function.
- Parameters:
- x1-D array
x-coordinates of the mesh on which to interpolate.
- y1-D array
y-coordinates of the mesh on which to interpolate.
- dxint >= 0, < kx
Order of partial derivatives in x.
- dyint >= 0, < ky
Order of partial derivatives in y.
- assume_sortedbool, 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:
- z2-D array with shape (len(y), len(x))
The interpolated values.