add-pandas-inplace-parameter-set-checker

[PeterHamfelt]

Avoid using pandas inplace=True parameter.

1. Clarity and Maintainability: Code that uses inplace=True can be harder to read and maintain, as the changes to the DataFrame or Series are not immediately visible, leading to possible side effects.
2. Performance: The perceived performance benefits of inplace=True are often misunderstood. In many cases, pandas creates a copy of the data anyway, so the memory and performance advantages may be negligible.
3. Chained Operations: Using inplace=True in chained operations can lead to errors since the result of an inplace operation is None.

References
https://stackoverflow.com/questions/43893457/understanding-inplace-true-in-pandas
pandas-dev/pandas#16529