Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://pandas.pydata.org/pandas-docs/stable/reference/api/../api/pandas.Series.str.lstrip.html below:

pandas.Series.str.lstrip — pandas 2.3.1 documentation

Series.str.lstrip(to_strip=None)[source]#

Remove leading characters.

Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left side. Replaces any non-strings in Series with NaNs. Equivalent to str.lstrip().

Parameters:

to_stripstr or None, default None

Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed.

Returns:

Series or Index of object

Examples

>>> s = pd.Series(['1. Ant.  ', '2. Bee!\n', '3. Cat?\t', np.nan, 10, True])
>>> s
0    1. Ant.
1    2. Bee!\n
2    3. Cat?\t
3          NaN
4           10
5         True
dtype: object

>>> s.str.strip()
0    1. Ant.
1    2. Bee!
2    3. Cat?
3        NaN
4        NaN
5        NaN
dtype: object

>>> s.str.lstrip('123.')
0    Ant.
1    Bee!\n
2    Cat?\t
3       NaN
4       NaN
5       NaN
dtype: object

>>> s.str.rstrip('.!? \n\t')
0    1. Ant
1    2. Bee
2    3. Cat
3       NaN
4       NaN
5       NaN
dtype: object

>>> s.str.strip('123.!? \n\t')
0    Ant
1    Bee
2    Cat
3    NaN
4    NaN
5    NaN
dtype: object

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4