pd.DataFrame.groupby

pandas.DataFrame.groupby(by=None, axis=0, level=None, as_index=True, sort=True, group_keys=True, squeeze=NoDefault.no_default, observed=False, dropna=True)

Supported Arguments

• by: Column label or list of column labels
  • Must be constant at Compile Time
  • This argument is required
• as_index: Boolean
  • Must be constant at Compile Time
• dropna: Boolean
  • Must be constant at Compile Time

Example Usage

>>> @bodo.jit
... def f(df):
...     return df.groupby("B", dropna=True, as_index=False).count()
>>> df = pd.DataFrame(
...      {
...          "A": [1, 2, 24, None] * 5,
...          "B": ["421", "f31"] * 10,
...          "C": [1.51, 2.421, 233232, 12.21] * 5
...      }
... )
>>> f(df)

     B   A   C
0  421  10  10
1  f31   5  10