scipy.interpolate.interp2d.__call__¶
- 
interp2d.__call__(self, x, y, dx=0, dy=0, assume_sorted=False)[source]¶
- Interpolate the function. - Parameters
- x1D array
- x-coordinates of the mesh on which to interpolate. 
- y1D 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
- z2D array with shape (len(y), len(x))
- The interpolated values. 
 
 
