Skip to main content
`Ctrl`+`K`

# scipy.interpolate.interp2d.__call__

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

  Interpolate the function.

  Parameters:
    x 1-D array

      x-coordinates of the mesh on which to interpolate.

    y 1-D 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 2-D array with shape (len(y), len(x))

      The interpolated values.