Python pandas.Series.str

1. replace

• Series.str.replace(pat, repl, n=-1, case=None, flags=0, regex=True)

Parameters:	pat : string or compiled regex String can be a character sequence or regular expression. New in version 0.20.0: pat also accepts a compiled regex. repl : string or callable Replacement string or a callable. The callable is passed the regex match object and must return a replacement string to be used. See re.sub(). New in version 0.20.0: repl also accepts a callable. n : int, default -1 (all) Number of replacements to make from start case : boolean, default None If True, case sensitive (the default if pat is a string) Set to False for case insensitive Cannot be set if pat is a compiled regex flags : int, default 0 (no flags) re module flags, e.g. re.IGNORECASE Cannot be set if pat is a compiled regex regex : boolean, default True If True, assumes the passed-in pattern is a regular expression. If False, treats the pattern as a literal string Cannot be set to False if pat is a compiled regex or repl is a callable. New in version 0.23.0.
Returns:	replaced : Series/Index of objects
Raises:	ValueError if regex is False and repl is a callable or pat is a compiled regex if pat is a compiled regex and case or flags is set

pat: 可以是字符串或者正则表达式

# pat = string
# 匹配字符串并替换
>>> pd.Series(['f.o', 'fuz', np.nan]).str.replace('f.', 'ba', regex=False)
0    bao
1    fuz
2    NaN
dtype: object

>>> pd.Series(['abc', 'deec']).str.replace('c', '', regex=False)
0     ab
1    dee
dtype: object

>>> pd.Series(['abca', 'deeca']).str.replace('ca', '', regex=False)
0     ab
1    dee
dtype: object

# pat = regex
# 用正则表达式进行字符串匹配
>>> pd.Series(['f  (oo)', 'buo', 'sio']).str.replace('\s*\(\w*\)', '', regex=True)
0      f
1    buo
2    sio
dtype: object

2. match

• Series.str.match(pat, case=True, flags=0, na=nan, as_indexer=None)
• 对Series的每个值匹配正则表达式，并返回True/False

>>>ut.RegionName.str.match('[\w\s]*\[edit\]')