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