startswith(self, pat, na=None)

Equivalent to str.startswith .

Parameters

pat : str

Character sequence. 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

Series or Index of bool

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

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

See Also

Series.str.contains

Tests if string element contains a pattern.

Series.str.endswith

Same as startswith, but tests the end of string.

str.startswith

Python standard library string method.

Examples

This example is valid syntax, but we were not able to check execution

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

This example is valid syntax, but we were not able to check execution

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

Specifying :None:None:`na` to be :None:None:`False` instead of NaN .

This example is valid syntax, but we were not able to check execution

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

See :

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Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

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File: /pandas/core/strings/accessor.py#2231
type: <class 'function'>
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