# xarray.Dataset.interpolate_na

`Dataset.``interpolate_na`(dim=None, method='linear', limit=None, use_coordinate=True, **kwargs)

  Interpolate values according to different methods.

  Parameters:

  dim : str

  > Specifies the dimension along which to interpolate.

  method : {‘linear’, ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’,

  > > ‘polynomial’, ‘barycentric’, ‘krog’, ‘pchip’, ‘spline’}, optional

  > String indicating which method to use for interpolation:

  > - ‘linear’: linear interpolation (Default). Additional keyword arguments are passed to `numpy.interp`
  > - ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’, ‘polynomial’: are passed to `scipy.interpolate.interp1d`. If method==’polynomial’, the `order` keyword argument must also be provided.
  > - ‘barycentric’, ‘krog’, ‘pchip’, ‘spline’: use their respective `scipy.interpolate` classes.

  use_coordinate : boolean or str, default True

  > Specifies which index to use as the x values in the interpolation formulated as y = f(x). If False, values are treated as if eqaully-spaced along dim. If True, the IndexVariable dim is used. If use_coordinate is a string, it specifies the name of a coordinate variariable to use as the index.

  limit : int, default None

  > Maximum number of consecutive NaNs to fill. Must be greater than 0 or None for no limit.

  Returns: | Dataset

  See also

  `numpy.interp`, `scipy.interpolate`