Q. Create the following DataFrame Sales containing year wise sales figures for five sales persons in INR. Use the years as column labels, and sales person names as row labels.
2014 | 2015 | 2016 | 2017 | |
---|---|---|---|---|
Madhu | 100.5 | 12000 | 20000 | 50000 |
Kusum | 150.8 | 18000 | 50000 | 60000 |
Kinshuk | 200.9 | 22000 | 70000 | 70000 |
Ankit | 30000 | 30000 | 100000 | 80000 |
Shruti | 40000 | 45000 | 125000 | 90000 |
Answer:-
import pandas as pd inr2014=[100.5, 150.8, 200.9, 30000, 40000] inr2015=[12000, 18000, 22000, 3000, 45000] inr2016=[20000, 50000, 70000, 100000, 125000] inr2017=[50000, 60000, 70000, 80000, 90000] label=['Madhu','Kusum','Kinshuk','Ankit','Shruti'] dic={'2014':inr2014,'2015':inr2015,'2016':inr2016,'2017':inr2017} Sales = pd.DataFrame(dic,index=label) print(Sales)
Output:-
2014 2015 2016 2017
Madhu 100.5 12000 20000 50000
Kusum 150.8 18000 50000 60000
Kinshuk 200.9 22000 70000 70000
Ankit 30000.0 3000 100000 80000
Shruti 40000.0 45000 125000 90000
>>>
What was the output of this
ReplyDeleteOk, I have uploaded it.
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