pandas.errors.SpecificationError — pandas 2.2.3 documentation (original) (raw)

exception pandas.errors.SpecificationError[source]#

Exception raised by agg when the functions are ill-specified.

The exception raised in two scenarios.

The first way is calling agg on a Dataframe or Series using a nested renamer (dict-of-dict).

The second way is calling agg on a Dataframe with duplicated functions names without assigning column name.

Examples

df = pd.DataFrame({'A': [1, 1, 1, 2, 2], ... 'B': range(5), ... 'C': range(5)}) df.groupby('A').B.agg({'foo': 'count'}) ... # SpecificationError: nested renamer is not supported

df.groupby('A').agg({'B': {'foo': ['sum', 'max']}}) ... # SpecificationError: nested renamer is not supported

df.groupby('A').agg(['min', 'min']) ... # SpecificationError: nested renamer is not supported