Series.str.match()

Series.str.match(pat, case=True, flags=0, na=nan, as_indexer=False) [source]

Deprecated: Find groups in each string in the Series/Index using passed regular expression. If as_indexer=True, determine if each string matches a regular expression.

Parameters:

Parameters:	pat : string Character sequence or regular expression case : boolean, default True If True, case sensitive flags : int, default 0 (no flags) re module flags, e.g. re.IGNORECASE na : default NaN, fill value for missing values. as_indexer : False, by default, gives deprecated behavior better achieved using str_extract. True return boolean indexer.
Returns:	Series/array of boolean values if as_indexer=True Series/Index of tuples if as_indexer=False, default but deprecated

pat : string

Character sequence or regular expression

case : boolean, default True

If True, case sensitive

flags : int, default 0 (no flags)

re module flags, e.g. re.IGNORECASE

na : default NaN, fill value for missing values.

as_indexer : False, by default, gives deprecated behavior better achieved

using str_extract. True return boolean indexer.

Returns:

Series/array of boolean values

if as_indexer=True

Series/Index of tuples

if as_indexer=False, default but deprecated

Notes

To extract matched groups, which is the deprecated behavior of match, use str.extract.

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.str.match.html

doc_Pandas

2017-01-12 04:54:58

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