を?::
SELECT state_name,
state_population,
SUM(state_population)
OVER() AS national_population
FROM population
ORDER BY state_name
パンダ:
df.assign(national_population=df.state_population.sum()).sort_values('state_name')
SQL:
SELECT state_name,
state_population,
region,
SUM(state_population)
OVER(PARTITION BY region) AS regional_population
FROM population
ORDER BY state_name
パンダ:
df.assign(regional_population=df.groupby('region')['state_population'].transform('sum')) \
.sort_values('state_name')
DEMO:
In [238]: df
Out[238]:
region state_name state_population
0 1 aaa 100
1 1 bbb 110
2 2 ccc 200
3 2 ddd 100
4 2 eee 100
5 3 xxx 55
national_population:
In [246]: df.assign(national_population=df.state_population.sum()).sort_values('state_name')
Out[246]:
region state_name state_population national_population
0 1 aaa 100 665
1 1 bbb 110 665
2 2 ccc 200 665
3 2 ddd 100 665
4 2 eee 100 665
5 3 xxx 55 665
regional_population:
In [239]: df.assign(regional_population=df.groupby('region')['state_population'].transform('sum')) \
...: .sort_values('state_name')
Out[239]:
region state_name state_population regional_population
0 1 aaa 100 210
1 1 bbb 110 210
2 2 ccc 200 400
3 2 ddd 100 400
4 2 eee 100 400
5 3 xxx 55 55
文書が存在し、見つけたり使用したりすることは困難ではありません。 http://pandas.pydata.org/pandas-docs/stable/computation.html#window-functions –
サンプルデータセットと希望のデータセットを提供できますか? – MaxU
@JackManey、AFAIKそれは全く同じではありません - 少なくとも言及したSQLの場合... – MaxU