pandas.Series.str.join

Series.str.join(sep) [source]

Join lists contained as elements in the Series/Index with passed delimiter.

If the elements of a Series are lists themselves, join the content of these lists using the delimiter passed to the function. This function is an equivalent to str.join().

Parameters:	sep : str Delimiter to use between list entries.
Returns:	Series/Index: object The list entries concatenated by intervening occurrences of the delimiter.
Raises:	AttributeError If the supplied Series contains neither strings nor lists.

See also

str.join

Standard library version of this method.

Series.str.split

Split strings around given separator/delimiter.

Notes

If any of the list items is not a string object, the result of the join will be NaN.

Examples

Example with a list that contains non-string elements.

>>> s = pd.Series([['lion', 'elephant', 'zebra'],
...                [1.1, 2.2, 3.3],
...                ['cat', np.nan, 'dog'],
...                ['cow', 4.5, 'goat'],
...                ['duck', ['swan', 'fish'], 'guppy']])
>>> s
0        [lion, elephant, zebra]
1                [1.1, 2.2, 3.3]
2                [cat, nan, dog]
3               [cow, 4.5, goat]
4    [duck, [swan, fish], guppy]
dtype: object

Join all lists using a ‘-‘. The lists containing object(s) of types other than str will produce a NaN.

>>> s.str.join('-')
0    lion-elephant-zebra
1                    NaN
2                    NaN
3                    NaN
4                    NaN
dtype: object