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This matches zero or one of digit, plus, space The functions in this module let you check if a particular string matches a given regular expression (or if a given regular expression. The other problem is using spaces for column separators and within fields without some kind of quoting, but this works for your data.

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You can try str.extract and strip, but better is use str.split, because in names of movies can be numbers too A regular expression (or re) specifies a set of strings that matches it Next solution is replace content of parentheses by regex and strip leading and trailing whitespaces:

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A dataframe with one row for each subject string, and one column for each group

Any capture group names in regular expression pat will be used for column names Regular expressions (regex) are patterns used in python for searching, matching, validating, and replacing text This cheat sheet offers a quick reference to common regex patterns and symbols. Regular expressions (called res, or regexes, or regex patterns) are essentially a tiny, highly specialized programming language embedded inside python and made available through the re module.

Capture group names are used for column names of the result A pattern with two groups will return a dataframe with two columns Optional groups that do not match are nan in the result. The replace () function in pandas can directly handle regex patterns

It scans the entire column for matches and replaces them in a single operation, making it both concise and efficient.

A regex, or regular expression, is a sequence of characters that forms a search pattern Regex can be used to check if a string contains the specified search pattern.