xarray.Dataset.interpolate_na¶
-
Dataset.
interpolate_na
(dim: Hashable = None, method: str = 'linear', limit: int = None, use_coordinate: Union[bool, Hashable] = True, **kwargs) → xarray.core.dataset.Dataset¶ Interpolate values according to different methods.
Parameters: - dim (Hashable) – 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’, theorder
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.
- kwargs (any) – parameters passed verbatim to the underlying interplation function
Returns: Return type: See also
numpy.interp()
,scipy.interpolate()