panda DF baru dari groupby
df = pd.DataFrame(old_df.groupby(['groupby_attribute'])['mean_attribute'].mean())
df = df.reset_index()
df
Cheerful Cheetah
df = pd.DataFrame(old_df.groupby(['groupby_attribute'])['mean_attribute'].mean())
df = df.reset_index()
dfdata.groupby('amount', as_index=False).agg({"duration": "sum"})df.groupby('A').agg({'B': ['min', 'max'], 'C': 'sum'})>>> emp.groupby(['dept', 'gender']).agg({'salary':'mean'}).round(-3)In [1]: df = pd.DataFrame( {'a':['A','A','B','B','B','C'], 'b':[1,2,5,5,4,6]})
df
Out[1]:
a b
0 A 1
1 A 2
2 B 5
3 B 5
4 B 4
5 C 6
In [2]: df.groupby('a')['b'].apply(list)
Out[2]:
a
A [1, 2]
B [5, 5, 4]
C [6]
Name: b, dtype: object
In [3]: df1 = df.groupby('a')['b'].apply(list).reset_index(name='new')
df1
Out[3]:
a new
0 A [1, 2]
1 B [5, 5, 4]
2 C [6]
spUtil.get('pps-list-modal', {title: c.data.editAllocations,
table: 'resource_allocation',
queryString: 'GROUPBYuser^resource_plan=' + c.data.sysId,
view: 'resource_portal_allocations' }).then(function(response) {
var formModal = response;
c.allocationListModal = response;
});