Pandas Series: str.strip() function

Last update on September 15 2022 12:57:17 (UTC/GMT +8 hours)

Series-str.strip() function

The str.strip() function is used to remove leading and trailing characters.
Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left and right sides. Equivalent to str.strip().

Syntax:

Series.str.strip(self, to_strip=None)

Parameters:

Name	Description	Type/Default Value	Required / Optional
to_strip	Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed.	str or None, default None	Required

Returns: Series/Index of objects

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['1. Bat.  ', '2. Dog!\n', '3. fox?\t', np.nan])
s

Output:

0    1. Bat.  
1    2. Dog!\n
2    3. fox?\t
3          NaN
dtype: object

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['1. Bat.  ', '2. Dog!\n', '3. fox?\t', np.nan])
s.str.strip()

Output:

0    1. Bat.
1    2. Dog!
2    3. fox?
3        NaN
dtype: object

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series(['1. Bat.  ', '2. Dog!\n', '3. fox?\t', np.nan])
s.str.strip('123.!? \n\t')

Output:

0    Bat
1    Dog
2    fox
3    NaN
dtype: object

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