I need to write a function def group_and_aggregate_data(df:pd.DataFrame, group_by_column:str, agg_func) -> pd.DataFrame that groups my excel data by city name and and applies the agg_func passed as an argument. I tried this:

Closed 3 days ago.

How does one filter a dataframe efficiently when the conditional is more complicated than

Pandas creates or ‘hallucinates’ values that don’t exist.