Pandas Series: str.wrap() function

Last update on September 15 2022 12:54:51 (UTC/GMT +8 hours)

Series-str.wrap() function

The str.wrap() function is used to wrap long strings in the Series/Index to be formatted in paragraphs with length less than a given width.
This method has the same keyword parameters and defaults as textwrap.TextWrapper.

Syntax:

Series.str.wrap(self, width, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
width	Maximum line width.	int	Required
expand_tabs	If True, tab characters will be expanded to spaces (default: True).	bool	Optional
replace_whitespace	If True, each whitespace character (as defined by string.whitespace) remaining after tab expansion will be replaced by a single space (default: True).	bool	Optional
drop_whitespace	If True, whitespace that, after wrapping, happens to end up at the beginning or end of a line is dropped (default: True).	bool	Optional
break_long_words	If True, then words longer than width will be broken in order to ensure that no lines are longer than width. If it is false, long words will not be broken, and some lines may be longer than width (default: True).	bool	Optional
break_on_hyphens	If True, wrapping will occur preferably on whitespace and right after hyphens in compound words, as it is customary in English. If false, only whitespaces will be considered as potentially good places for line breaks, but you need to set break_long_words to false if you want truly insecable words (default: True).	bool	Optional

Returns: Series or Index

Note: Internally, this method uses a textwrap.TextWrapper instance with default settings. To achieve behavior matching R’s stringr library str_wrap function, use the arguments:

expand_tabs = False
replace_whitespace = True
drop_whitespace = True
break_long_words = False
break_on_hyphens = False

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['boy is taller', 'another boy is taller'])
s.str.wrap(11)

Output:

0            boy is\ntaller
1    another boy\nis taller
dtype: object

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