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
- sepstr
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