Series.str.isdecimal() [source] Check whether all characters in each string in the Series/Index are decimal. Equivalent to str.isdecimal(). Returns: is : Series/array of boolean values

Series.str.isalpha() [source] Check whether all characters in each string in the Series/Index are alphabetic. Equivalent to str.isalpha(). Returns: is : Series/array of boolean values

Series.str.isalnum() [source] Check whether all characters in each string in the Series/Index are alphanumeric. Equivalent to str.isalnum(). Returns: is : Series/array of boolean values

Series.str.index(sub, start=0, end=None) [source] Return lowest indexes in each strings where the substring is fully contained between [start:end]. This is the same as str.find except instead of returning -1, it raises a ValueError when the substring is not found. Equivalent to standard str.index. Parameters: sub : str Substring being searched start : int Left edge index end : int Right edge index Returns: found : Series/Index of objects See also rindex Return highest indexes

Series.str.get_dummies(sep='|') [source] Split each string in the Series by sep and return a frame of dummy/indicator variables. Parameters: sep : string, default ?|? String to split on. Returns: dummies : DataFrame See also pandas.get_dummies Examples >>> Series(['a|b', 'a', 'a|c']).str.get_dummies() a b c 0 1 1 0 1 1 0 0 2 1 0 1 >>> Series(['a|b', np.nan, 'a|c']).str.get_dummies() a b c 0 1 1 0 1 0 0 0 2 1 0 1

Series.str.get(i) [source] Extract element from lists, tuples, or strings in each element in the Series/Index. Parameters: i : int Integer index (location) Returns: items : Series/Index of objects

Series.str.findall(pat, flags=0, **kwargs) [source] Find all occurrences of pattern or regular expression in the Series/Index. Equivalent to re.findall(). Parameters: pat : string Pattern or regular expression flags : int, default 0 (no flags) re module flags, e.g. re.IGNORECASE Returns: matches : Series/Index of lists See also extractall returns DataFrame with one column per capture group

Series.str.find(sub, start=0, end=None) [source] Return lowest indexes in each strings in the Series/Index where the substring is fully contained between [start:end]. Return -1 on failure. Equivalent to standard str.find(). Parameters: sub : str Substring being searched start : int Left edge index end : int Right edge index Returns: found : Series/Index of integer values See also rfind Return highest indexes in each strings

Series.str.extractall(pat, flags=0) [source] For each subject string in the Series, extract groups from all matches of regular expression pat. When each subject string in the Series has exactly one match, extractall(pat).xs(0, level=?match?) is the same as extract(pat). New in version 0.18.0. Parameters: pat : string Regular expression pattern with capturing groups flags : int, default 0 (no flags) re module flags, e.g. re.IGNORECASE Returns: A DataFrame with one row for each match

Series.str.extract(pat, flags=0, expand=None) [source] For each subject string in the Series, extract groups from the first match of regular expression pat. New in version 0.13.0. Parameters: pat : string Regular expression pattern with capturing groups flags : int, default 0 (no flags) re module flags, e.g. re.IGNORECASE .. versionadded:: 0.18.0 expand : bool, default False If True, return DataFrame. If False, return Series/Index/DataFrame. Returns: DataFrame with one row for eac