How to aggregate a column in a pandas dataframe by using other columns in a dataframe
0
I have a dataframe which contains duplicate records with columns v,w,x,y,z.
V W X Y Z
a US 1 0 88
a US 0 1 88
a US 2 0 88
a RUS 1 2 23
b IND 2 0 12
b IND 1 3 12
b RSA 0 1 5
c BAN 5 6 10
I want to remove duplicates from V,W,Z columns by aggregating the X,Y columns.This would lead to:
V W X Y Z
a US 3 1 88
a RUS 1 2 23
b IND 3 3 12
b RSA 0 1 5
c BAN 5 6 10
I cannot figure out how to so this in python , please help me on this.
pandas python-2.7 aggregate pandas-groupby data-science
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0
I have a dataframe which contains duplicate records with columns v,w,x,y,z.
V W X Y Z
a US 1 0 88
a US 0 1 88
a US 2 0 88
a RUS 1 2 23
b IND 2 0 12
b IND 1 3 12
b RSA 0 1 5
c BAN 5 6 10
I want to remove duplicates from V,W,Z columns by aggregating the X,Y columns.This would lead to:
V W X Y Z
a US 3 1 88
a RUS 1 2 23
b IND 3 3 12
b RSA 0 1 5
c BAN 5 6 10
I cannot figure out how to so this in python , please help me on this.
pandas python-2.7 aggregate pandas-groupby data-science
add a comment |
0
0
0
I have a dataframe which contains duplicate records with columns v,w,x,y,z.
V W X Y Z
a US 1 0 88
a US 0 1 88
a US 2 0 88
a RUS 1 2 23
b IND 2 0 12
b IND 1 3 12
b RSA 0 1 5
c BAN 5 6 10
I want to remove duplicates from V,W,Z columns by aggregating the X,Y columns.This would lead to:
V W X Y Z
a US 3 1 88
a RUS 1 2 23
b IND 3 3 12
b RSA 0 1 5
c BAN 5 6 10
I cannot figure out how to so this in python , please help me on this.
pandas python-2.7 aggregate pandas-groupby data-science
I have a dataframe which contains duplicate records with columns v,w,x,y,z.
V W X Y Z
a US 1 0 88
a US 0 1 88
a US 2 0 88
a RUS 1 2 23
b IND 2 0 12
b IND 1 3 12
b RSA 0 1 5
c BAN 5 6 10
I want to remove duplicates from V,W,Z columns by aggregating the X,Y columns.This would lead to:
V W X Y Z
a US 3 1 88
a RUS 1 2 23
b IND 3 3 12
b RSA 0 1 5
c BAN 5 6 10
I cannot figure out how to so this in python , please help me on this.
pandas python-2.7 aggregate pandas-groupby data-science
pandas python-2.7 aggregate pandas-groupby data-science
asked Dec 29 '18 at 8:34
user10845714
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1 Answer
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2
Using groupby.sum:
df = df = df.groupby(['V','W','Z'], as_index=False, sort=False).sum()
print(df)
V W Z X Y
0 a US 88 3 1
1 a RUS 23 1 2
2 b IND 12 3 3
3 b RSA 5 0 1
4 c BAN 10 5 6
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
2
Using groupby.sum:
df = df = df.groupby(['V','W','Z'], as_index=False, sort=False).sum()
print(df)
V W Z X Y
0 a US 88 3 1
1 a RUS 23 1 2
2 b IND 12 3 3
3 b RSA 5 0 1
4 c BAN 10 5 6
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
add a comment |
2
Using groupby.sum:
df = df = df.groupby(['V','W','Z'], as_index=False, sort=False).sum()
print(df)
V W Z X Y
0 a US 88 3 1
1 a RUS 23 1 2
2 b IND 12 3 3
3 b RSA 5 0 1
4 c BAN 10 5 6
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
add a comment |
2
2
2
Using groupby.sum:
df = df = df.groupby(['V','W','Z'], as_index=False, sort=False).sum()
print(df)
V W Z X Y
0 a US 88 3 1
1 a RUS 23 1 2
2 b IND 12 3 3
3 b RSA 5 0 1
4 c BAN 10 5 6
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
Using groupby.sum:
df = df = df.groupby(['V','W','Z'], as_index=False, sort=False).sum()
print(df)
V W Z X Y
0 a US 88 3 1
1 a RUS 23 1 2
2 b IND 12 3 3
3 b RSA 5 0 1
4 c BAN 10 5 6
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
edited Dec 29 '18 at 8:49
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
answered Dec 29 '18 at 8:42
Sandeep KadapaSandeep Kadapa
6,352429
6,352429
add a comment |
add a comment |
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