bigframes.pandas.DatetimeIndex.argmin#

DatetimeIndex.argmin()→int#

Return int position of the smallest value in the series.

If the minimum 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})>>>sCorn Flakes              100.0Almond Delight           110.0Cinnamon Toast Crunch    120.0Cocoa Puff               110.0dtype: Float64

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

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

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

Returns:

Row position of the minimum value.

Return type:

int