When treating strings as lists of characters in Pandas, there are a few common mistakes that people make. Here are some examples with code samples:
1. Bypassing the str accessor:
Pandas provides the
str accessor to treat strings as a list of characters and perform operations on individual characters. Forgetting to use the
str accessor can lead to errors or unexpected results.
2. Neglecting zero-based indexing:
When treating strings as lists of characters, it's important to remember that indexing starts from 0. Not considering zero-based indexing can lead to accessing the wrong characters or raising errors.
3. Ignoring missing values:
When treating strings as lists of characters, it's important to handle missing values (NaN) properly. Not handling missing values can result in errors or unexpected behavior.