Converting a mulitple row into single row in Python Pandas with pivot table without aggregation

I want to convert a dataframe with multiple columns to pivot to single row without using any aggregation function. I am using pivot table in pandas after many attempts

dfv = df.pivot_table(index=['Name','Grade'], aggfunc=['min','max']) 

but it is failing

Below is the input table

Name        Grade       Range       value1  value2
Pete        AT1     100 - 200T      7.8687  31.45
Pete        AT1     375 -400T       40.3481 4.53

expected output

Pete     Grade   min RangeTry    min value1   min value2  max RangeTry  maxvalue1   maxvalue2
Pete     AT1       100 - 200T    7.8687    31.45       375 -400T    40.3481 4.53

problem I am having is when using the min max in aggfunc the values are shuffled at individual column level . I need the shift at the row level..

Pete    Grade   min RangeTry min value1 min value2  max RangeTry  maxvalue1  maxvalue2
Pete    AT1 100 - 200T   7.8687 4.53          375 -400T   40.3481    31.45

for example the value 4.53 part of row2 turned out to be part of row 1 group..

Greatly appreciate your help and suggestions