pyspark.pandas.Series.str.replace |
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Replace occurrences of pattern/regex in the Series with some other string. Equivalent to str.replace() or re.sub(). Parameters patstr or compiled regexString can be a character sequence or regular expression. replstr or callableReplacement string or a callable. The callable is passed the regex match object and must return a replacement string to be used. See re.sub(). nint, default -1 (all)Number of replacements to make from start. caseboolean, default NoneIf 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. regexboolean, default TrueIf 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 compile regex or repl is a callable. Returns Series of objectA copy of the string with all matching occurrences of pat replaced by repl. Examples When pat is a string and regex is True (the default), the given pat is compiled as a regex. When repl is a string, it replaces matching regex patterns as with re.sub(). NaN value(s) in the Series are changed to None: >>> ps.Series(['foo', 'fuz', np.nan]).str.replace('f.', 'ba', regex=True) 0 bao 1 baz 2 None dtype: objectWhen pat is a string and regex is False, every pat is replaced with repl as with str.replace(): >>> ps.Series(['f.o', 'fuz', np.nan]).str.replace('f.', 'ba', regex=False) 0 bao 1 fuz 2 None dtype: objectWhen repl is a callable, it is called on every pat using re.sub(). The callable should expect one positional argument (a regex object) and return a string. Reverse every lowercase alphabetic word: >>> repl = lambda m: m.group(0)[::-1] >>> ps.Series(['foo 123', 'bar baz', np.nan]).str.replace(r'[a-z]+', repl) 0 oof 123 1 rab zab 2 None dtype: objectUsing regex groups (extract second group and swap case): >>> pat = r"(?P\w+) (?P\w+) (?P\w+)" >>> repl = lambda m: m.group('two').swapcase() >>> ps.Series(['One Two Three', 'Foo Bar Baz']).str.replace(pat, repl) 0 tWO 1 bAR dtype: objectUsing a compiled regex with flags: >>> import re >>> regex_pat = re.compile(r'FUZ', flags=re.IGNORECASE) >>> ps.Series(['foo', 'fuz', np.nan]).str.replace(regex_pat, 'bar') 0 foo 1 bar 2 None dtype: object |
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