Series.str.cat()

Series.str.cat(others=None, sep=None, na_rep=None) [source]

Concatenate strings in the Series/Index with given separator.

Parameters:

Parameters:	others : list-like, or list of list-likes If None, returns str concatenating strings of the Series sep : string or None, default None na_rep : string or None, default None If None, NA in the series are ignored.
Returns:	concat : Series/Index of objects or str

others : list-like, or list of list-likes

If None, returns str concatenating strings of the Series

sep : string or None, default None

na_rep : string or None, default None

If None, NA in the series are ignored.

Returns:

concat : Series/Index of objects or str

When na_rep is None (default behavior), NaN value(s) in the Series are ignored.

>>> Series(['a','b',np.nan,'c']).str.cat(sep=' ')
'a b c'

>>> Series(['a','b',np.nan,'c']).str.cat(sep=' ', na_rep='?')
'a b ? c'

If others is specified, corresponding values are concatenated with the separator. Result will be a Series of strings.

>>> Series(['a', 'b', 'c']).str.cat(['A', 'B', 'C'], sep=',')
0    a,A
1    b,B
2    c,C
dtype: object

Otherwise, strings in the Series are concatenated. Result will be a string.

>>> Series(['a', 'b', 'c']).str.cat(sep=',')
'a,b,c'

Also, you can pass a list of list-likes.

>>> Series(['a', 'b']).str.cat([['x', 'y'], ['1', '2']], sep=',')
0    a,x,1
1    b,y,2
dtype: object

Links:

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2025-01-10 15:47:30

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