pd.Series.values
Example Usage
>>> @bodo.jit
... def f(df):
... return df.apply(lambda row: row.values, axis=1)
>>> df = pd.DataFrame({"A": np.arange(100), "B": ["A", "b"] * 50})
>>> f(df)
0 (0, A)
1 (1, b)
2 (2, A)
3 (3, b)
4 (4, A)
...
95 (95, b)
96 (96, A)
97 (97, b)
98 (98, A)
99 (99, b)
Length: 100, dtype: object