bigframes.pandas.DataFrame.iterrows#

DataFrame.iterrows() → Iterable[tuple[Any, Series]][source]#

Iterate over DataFrame rows as (index, Series) pairs.

Examples:

>>> df = bpd.DataFrame({
...     'A': [1, 2, 3],
...     'B': [4, 5, 6],
...     })
>>> index, row = next(df.iterrows())
>>> index
np.int64(0)
>>> row
A    1
B    4
Name: 0, dtype: object

Returns:

A tuple where data contains row values as a Series

Return type:

Iterable[Tuple]