modin.pandas.Series.str.startswith

Series.str.startswith(pat, na=None)[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/.tox/docs/lib/python3.9/site-packages/modin/pandas/series_utils.py#L361-L364)

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
Copy
>>> s.str.startswith('b')
0     True
1    False
2    False
3     None
dtype: object
Copy
>>> s.str.startswith(('b', 'B'))
0     True
1     True
2    False
3     None
dtype: object
Copy

Specifying na to be False instead of NaN.

>>> s.str.startswith('b', na=False)
0     True
1    False
2    False
3    False
dtype: bool
Copy
Language: English