# Result here date returns the minimum, maximum date, but no column name, the result of the latter form of writing is not the same return Grouped = df.groupby (by = [ ' the userid ' ]). Orderdate.agg ([ ' min ' , ' max ' ]) a=type(grouped['min']==grouped['max']) b=type(grouped.min==grouped.max) C = type (grouped.min) Print ( " A data type: " , A) Print ( " B data type: " , B) Print ( " C data type: " , C)
= df.groupby Grouped (by = [ ' the userid ' .]) orderdate.agg ([ ' min ' , ' max ' .]) the rename (Columns = ({ ' min ' : ' minimum ' , ' max ' : ' maximum value ' })) A = type (Grouped [ ' Min ' ] == Grouped [ ' maximum ' ]) B = type (Grouped. minimum == Grouped. maximum) C = type (Grouped. Min) Print ( " A data type: " , A) Print ( " B data type: " , B) Print ( " C data type: " , C)
operation result:
