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# 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.