Method interpolate_na

xarray/core/dataset.py:6516–6661

Fill in NaNs by interpolating according to different methods. Parameters ---------- dim : Hashable or None, optional Specifies the dimension along which to interpolate. method : {"linear", "nearest", "zero", "slinear", "quadratic", "cubic", "polynomial",

(
        self,
        dim: Hashable | None = None,
        method: InterpOptions = "linear",
        limit: int | None = None,
        use_coordinate: bool | Hashable = True,
        max_gap: (
            int
            | float
            | str
            | pd.Timedelta
            | np.timedelta64
            | datetime.timedelta
            | None
        ) = None,
        **kwargs: Any,
    )

        return out

    def interpolate_na(
        self,
        dim: Hashable | None = None,
        method: InterpOptions = "linear",
        limit: int | None = None,
        use_coordinate: bool | Hashable = True,
        max_gap: (
            int
            | float
            | str
            | pd.Timedelta
            | np.timedelta64
            | datetime.timedelta
            | None
        ) = None,
        **kwargs: Any,
    ) -> Self:
        """Fill in NaNs by interpolating according to different methods.

        Parameters
        ----------
        dim : Hashable or None, optional
            Specifies the dimension along which to interpolate.
        method : {"linear", "nearest", "zero", "slinear", "quadratic", "cubic", "polynomial", \
            "barycentric", "krogh", "pchip", "spline", "akima"}, default: "linear"
            String indicating which method to use for interpolation:

            - 'linear': linear interpolation. Additional keyword
              arguments are passed to :py:func:`numpy.interp`
            - 'nearest', 'zero', 'slinear', 'quadratic', 'cubic', 'polynomial':
              are passed to :py:func:`scipy.interpolate.interp1d`. If
              ``method='polynomial'``, the ``order`` keyword argument must also be
              provided.
            - 'barycentric', 'krogh', 'pchip', 'spline', 'akima': use their
              respective :py:class:`scipy.interpolate` classes.

        use_coordinate : bool or Hashable, 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
            equally-spaced along ``dim``. If True, the IndexVariable `dim` is
            used. If ``use_coordinate`` is a string, it specifies the name of a
            coordinate variable 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. This filling is done regardless of the size of
            the gap in the data. To only interpolate over gaps less than a given length,
            see ``max_gap``.
        max_gap : int, float, str, pandas.Timedelta, numpy.timedelta64, datetime.timedelta \
            or None, default: None
            Maximum size of gap, a continuous sequence of NaNs, that will be filled.
            Use None for no limit. When interpolating along a datetime64 dimension
            and ``use_coordinate=True``, ``max_gap`` can be one of the following:

            - a string that is valid input for pandas.to_timedelta
            - a :py:class:`numpy.timedelta64` object
            - a :py:class:`pandas.Timedelta` object
            - a :py:class:`datetime.timedelta` object