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# scipy.interpolate.interp2d

class `scipy.interpolate.``interp2d`(x, y, z, kind='linear', copy=True, bounds_error=False, fill_value=nan)

  Interpolate over a 2D grid.

  > Parameters: | x, y : 1D arrays Arrays defining the coordinates of a 2D grid. If the points lie on a regular grid, x can specify the column coordinates and y the row coordinates, e.g.:
  >     x = [0,1,2];  y = [0,3,7]
  > otherwise x and y must specify the full coordinates, i.e.:
  >     x = [0,1,2,0,1,2,0,1,2];  y = [0,0,0,3,3,3,7,7,7]
  If x and y are multi-dimensional, they are flattened before use. z : 1D array The values of the interpolated function on the grid points. If z is a multi-dimensional array, it is flattened before use. kind : {‘linear’, ‘cubic’, ‘quintic’} The kind of interpolation to use. copy : bool If True, then data is copied, otherwise only a reference is held. bounds_error : bool If True, when interpolated values are requested outside of the domain of the input data, an error is raised. If False, then fill_value is used. fill_value : number If provided, the value to use for points outside of the interpolation domain. Defaults to NaN.
  Raises: | ValueError when inputs are invalid. :

  See also

  `bisplrep`, `bisplev`

  `BivariateSpline`
    a more recent wrapper of the FITPACK routines

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