change the dataframe in python instead of column value as an own column

Question

I have a dataframe like this: df

Country	Year	Area	count
Albania	2018	T	250
Albania	2018	NT	150
Albania	2019	T	260
Albania	2019	NT	180
USA	2018	T	200
USA	2018	NT	120
USA	2019	T	280
USA	2019	NT	180
Oman	2018	T	260
Oman	2018	NT	160
Oman	2019	T	220
Oman	2019	NT	120
UK	2018	T	290
UK	2018	NT	140
UK	2019	T	290
UK	2019	NT	130

But I want these ouput

Country	Year	T	NT
Albania	2018	250	150
Albania	2019	260	180
USA	2018	200	120
USA	2019	280	180
Oman	2018	260	160
Oman	2019	220	120
UK	2018	290	140
UK	2019	290	130

Is there a way to put the column values into columns?

Asked By: Maurice

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Source

Answer 1

You can use crosstab:

dfx=pd.crosstab([df['Country'],df['Year']], df['Area'],values=df['count'],aggfunc='first').reset_index()

Output:

Area  Country  Year   NT    T
0     Albania  2018  150  250
1     Albania  2019  180  260
2        Oman  2018  160  260
3        Oman  2019  120  220
4          UK  2018  140  290
5          UK  2019  130  290
6         USA  2018  120  200
7         USA  2019  180  280

Answered By: Bushmaster

Answer 2

An alternative is to use the pivot() method. For example,

df.pivot(index=['Country', 'Year'], columns='Area', values='count').reset_index(level=1)

Output

Area     Year   NT    T
Country
Albania  2018  150  250
Albania  2019  180  260
Oman     2018  160  260
Oman     2019  120  220
UK       2018  140  290
UK       2019  130  290
USA      2018  120  200
USA      2019  180  280

Answered By: Jie Jenn

change the dataframe in python instead of column value as an own column

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