Mistakes to avoid when performing string operations in Python

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.