pd.core.groupby.Groupby.min
pandas.core.groupby.Groupby.min(numeric_only=False, min_count=-1)
Note
min
is not supported on columns with nested array types
- Categorical columns must be ordered.
Example Usage
>>> @bodo.jit
... def f(df):
... return df.groupby("B").min()
>>> df = pd.DataFrame(
... {
... "A": [1, 2, 24, None] * 5,
... "B": ["421", "f31"] * 10,
... "C": [1.51, 2.421, 233232, 12.21] * 5
... }
... )
>>> f(df)
A C
B
421 1.0 1.510
f31 2.0 2.421