There are a few frequent mistakes people make while applying string operators in Pandas. Here are several samples with code.
1. Not using the str accessor:
Pandas provides a str accessor to perform string operations on Series with string data. Forgetting to use the str accessor can result in errors or unexpected results.
2. Forgetting to handle missing values:
String operations in Pandas do not handle missing values (NaN) automatically. Forgetting to handle missing values can result in unexpected behavior or errors.
3. Using string operators on non-string columns:
String operators apply only to columns with the string data type. Applying string operators on non-string columns will result in errors.
4. Confusing string operations with mathematical operations:
String operations and mathematical operations have different syntaxes and behavior. Confusing them can lead to errors or unexpected results.