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: 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: 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