bigframes.pandas.DatetimeIndex.argmax

DatetimeIndex.argmax() → int

Return int position of the largest value in the Series.

If the maximum is achieved in multiple locations, the first row position is returned.

Examples:

Consider dataset containing cereal calories

>>> s = bpd.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,
...                'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
>>> s
Corn Flakes              100.0
Almond Delight           110.0
Cinnamon Toast Crunch    120.0
Cocoa Puff               110.0
dtype: Float64

>>> int(s.argmax())
2

>>> int(s.argmin())
0

The maximum cereal calories is the third element and the minimum cereal calories is the first element, since series is zero-indexed.

Returns:

Row position of the maximum value.

Return type:

int