pandas.Series.update#
- Series.update(other)[source]#
Modify Series in place using values from passed Series.
Uses non-NA values from passed Series to make updates. Aligns on index.
- Parameters
- otherSeries, or object coercible into Series
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: object
>>> 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>>> s = pd.Series([1, 2, 3]) >>> s.update([4, np.nan, 6]) >>> s 0 4 1 2 2 6 dtype: int64
>>> s = pd.Series([1, 2, 3]) >>> s.update({1: 9}) >>> s 0 1 1 9 2 3 dtype: int64