I want to class my pivot table according to my other column in Pandas
Question:
I have a data frame similar to mentioned below:
And I need to get this type of table as the result:
a.pivot_table(index=['DT'],columns=['TYPE'], values='AMOUNT',aggfunc=['count','sum','mean']).T
where a is the actual data
I desire to get firstly comes TYPE after count, sum, mean.
Answers:
You can just make use of swaplevel method of the multi indexed data frame as shown below:
a.pivot_table(index=['DT'],columns=['TYPE'], values='AMOUNT',aggfunc=['count','sum','mean']).T.swaplevel(0,1)
And your new data frame looks like this:
I have a data frame similar to mentioned below:
And I need to get this type of table as the result:
a.pivot_table(index=['DT'],columns=['TYPE'], values='AMOUNT',aggfunc=['count','sum','mean']).T
where a is the actual data
I desire to get firstly comes TYPE after count, sum, mean.
You can just make use of swaplevel method of the multi indexed data frame as shown below:
a.pivot_table(index=['DT'],columns=['TYPE'], values='AMOUNT',aggfunc=['count','sum','mean']).T.swaplevel(0,1)
And your new data frame looks like this: