pandas.errors.NumbaUtilError

exception pandas.errors.NumbaUtilError

Error raised for unsupported Numba engine routines.

See also

DataFrame.groupby

Group DataFrame using a mapper or by a Series of columns.

Series.groupby

Group Series using a mapper or by a Series of columns.

DataFrame.agg

Aggregate using one or more operations over the specified axis.

Series.agg

Aggregate using one or more operations over the specified axis.

Examples

>>> df = pd.DataFrame(
...     {"key": ["a", "a", "b", "b"], "data": [1, 2, 3, 4]}, columns=["key", "data"]
... )
>>> def incorrect_function(x):
...     return sum(x) * 2.7
>>> df.groupby("key").agg(incorrect_function, engine="numba")
Traceback (most recent call last):
NumbaUtilError: The first 2 arguments to incorrect_function
must be ['values', 'index']