Pandas Series: str.lstrip() function

Last update on September 15 2022 12:57:23 (UTC/GMT +8 hours)

Series-str.lstrip() function

The str.lstrip() 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 side. Equivalent to str.lstrip().

Syntax:

Series.str.lstrip(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 Value: None	Required

Returns: Series/Index of objects

Example:

Python-Pandas Code:

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

Output:

0    1. Dog.  
1    2. Cow!\n
2    3. Bee?\t
3          NaN
dtype: object

Python-Pandas Code:

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

Output:

0    1. Dog.
1    2. Cow!
2    3. Bee?
3        NaN
dtype: object

Python-Pandas Code:

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

Output:

0     Dog.  
1     Cow!\n
2     Bee?\t
3        NaN
dtype: object

Python-Pandas Code:

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

Output:

0    1. Dog
1    2. Cow
2    3. Bee
3       NaN
dtype: object

Python-Pandas Code:

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

Output:

0    Dog
1    Cow
2    Bee
3    NaN
dtype: object

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