maxframe.dataframe.Series.str.startswith

Series.str.startswith(pat: str | tuple[str, ...], na: Scalar | None = None) → Series | Index

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

Equivalent to str.startswith().

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

>>> import maxframe.tensor as mt
>>> import maxframe.dataframe as md
>>> s = md.Series(['bat', 'Bear', 'cat', mt.nan])
>>> s.execute()
0     bat
1    Bear
2     cat
3     NaN
dtype: object

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

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

Specifying na to be False instead of NaN.

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