Python pandas.Series.str

最新推荐文章于 2024-12-10 08:22:26 发布

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最新推荐文章于 2024-12-10 08:22:26 发布

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分类专栏： Pandas 文章标签： python pandas data cleaning text data

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本文详细介绍了Pandas库中Series对象的字符串操作方法，包括replace和match函数的使用。replace函数用于替换Series中的字符串，参数pat可以是字符串或正则表达式，repl用于指定替换的内容。match函数用于在Series的每个元素上应用正则表达式，返回匹配结果的布尔值。

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1. replace

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

Parameters:

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 : 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]*\[edit\]')