modin.pandas.Series.str.startswith¶
- Series.str.startswith(pat, na=_NoDefault.no_default)[source]¶
- Test if the start of each string element matches a pattern. - Parameters:
- pat (str or tuple[str, ...]) – Character sequence or tuple of strings. Regular expressions are not accepted. 
- na (object, default NaN) – Object shown if element tested is not a string. The default depends on dtype of the array. For object-dtype, numpy.nan is used. For StringDtype, pandas.NA is used. 
 
- Returns:
- A Series of booleans indicating whether the given pattern matches the start of each string element. 
- Return type:
- Series or Index of bool 
 - See also - str.startswith
- Python standard library string method. 
- Series.str.endswith
- Same as startswith, but tests the end of string. 
- Series.str.contains
- Tests if string element contains a pattern. 
 - Examples - >>> s = pd.Series(['bat', 'Bear', 'cat', np.nan]) >>> s 0 bat 1 Bear 2 cat 3 None dtype: object - >>> s.str.startswith('b') 0 True 1 False 2 False 3 None dtype: object - >>> s.str.startswith(('b', 'B')) 0 True 1 True 2 False 3 None dtype: object - Specifying na to be False instead of NaN. - >>> s.str.startswith('b', na=False) 0 True 1 False 2 False 3 False dtype: bool