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pandas.Series.str.startswith — pandas 2.3.1 documentation

Series.str.startswith(pat, na=<no_default>)[source]#

Test if the start of each string element matches a pattern.

Equivalent to str.startswith().

Parameters:

patstr or tuple[str, …]

Character sequence or tuple of strings. Regular expressions are not accepted.

nascalar, optional

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 the nullable StringDtype, pandas.NA is used. For the "str" dtype, False is used.

Returns:

Series or Index of bool

A Series of booleans indicating whether the given pattern matches the start of each string element.

Examples

>>> s = pd.Series(['bat', 'Bear', 'cat', np.nan])
>>> s
0     bat
1    Bear
2     cat
3     NaN
dtype: object

>>> s.str.startswith('b')
0     True
1    False
2    False
3      NaN
dtype: object

>>> s.str.startswith(('b', 'B'))
0     True
1     True
2    False
3      NaN
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

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