String Manipulation in Python

String Operations

Python provides extensive string operations for text processing.

String Methods

Lower, upper, title case: s.lower(), s.upper(), s.title(). Strip whitespace: s.strip(). Replace: s.replace('old', 'new').

Split: s.split(',') breaks into list. Join: ', '.join(list) combines list.

Regular Expressions

re module handles regex. re.findall(pattern, string) finds all matches. re.sub(pattern, repl, string) replaces.

Pattern: r'\d+' matches digits. r'\w+' matches word characters. Anchors: ^, $ match string boundaries.

Pandas String Methods

Series.str provides vectorized string operations. str.lower(), str.strip(), str.replace() work on entire Series.

str.contains(), str.startswith() for filtering. str.extract() captures groups.

Key Takeaways

1. String methods handle basic text cleaning
2. Regular expressions enable complex pattern matching
3. Pandas provides vectorized string operations