Method update

pandas/core/series.py:3445–3535

Modify Series in place using values from passed Series. Uses non-NA values from passed Series to make updates. Aligns on index. Parameters ---------- other : Series, or object coercible into Series Other Series that provides values to up

(self, other: Series | Sequence | Mapping)

        return combined.__finalize__(self, method="combine_first")

    def update(self, other: Series | Sequence | Mapping) -> None:
        """
        Modify Series in place using values from passed Series.

        Uses non-NA values from passed Series to make updates. Aligns
        on index.

        Parameters
        ----------
        other : Series, or object coercible into Series
            Other Series that provides values to update the current Series.

        See Also
        --------
        Series.combine : Perform element-wise operation on two Series
            using a given function.
        Series.transform: Modify a Series using a function.

        Examples
        --------
        >>> s = pd.Series([1, 2, 3])
        >>> s.update(pd.Series([4, 5, 6]))
        >>> s
        0    4
        1    5
        2    6
        dtype: int64

        >>> s = pd.Series(["a", "b", "c"])
        >>> s.update(pd.Series(["d", "e"], index=[0, 2]))
        >>> s
        0    d
        1    b
        2    e
        dtype: str

        >>> s = pd.Series([1, 2, 3])
        >>> s.update(pd.Series([4, 5, 6, 7, 8]))
        >>> s
        0    4
        1    5
        2    6
        dtype: int64

        If ``other`` contains NaNs the corresponding values are not updated
        in the original Series.

        >>> s = pd.Series([1, 2, 3])
        >>> s.update(pd.Series([4, np.nan, 6]))
        >>> s
        0    4
        1    2
        2    6
        dtype: int64

        ``other`` can also be a non-Series object type
        that is coercible into a Series