我只是想知道如何汇总按 pandas 数据框分组的所有结果。
data1 = {'id':['1', '1', '2', '2', '2', '3', '3', '3'],
'Age':[27, 24, 22, 32, 33, 36, 27, 32],
'Qualification':['Msc', 'MA', 'MCA', 'Phd','B.Tech', 'B.com', 'Msc', 'MA']
}
df = pd.DataFrame(data1)
grp = df.groupby('id')
for name, group in grp:
x = group.Age * 2
print (x)
0 54
1 48
Name: Age, dtype: int64
2 44
3 64
4 66
Name: Age, dtype: int64
5 72
6 54
7 64
Name: Age, dtype: int64
我已经厌倦了这样它只保存最后一组。
result = pd.DataFrame(x)
result
Age
5 72
6 54
7 64
如何将所有这些结果保存在 pandas dataframe 中?
预期结果
Age
0 54
1 48
2 44
3 64
4 66
5 72
6 54
7 64
最佳答案
data1 = {'id':['1', '1', '2', '2', '2', '3', '3', '3'],
'Age':[27, 24, 22, 32, 33, 36, 27, 32],
'Qualification':['Msc', 'MA', 'MCA', 'Phd','B.Tech', 'B.com', 'Msc', 'MA']
}
df = pd.DataFrame(data1)
grp = df.groupby('id')
x = [] # Create an empty list
for name, group in grp:
b = group.Age * 2 # Do your group vise operations
x.extend(b) # Extend your list with with your restuls
result = pd.DataFrame(x, columns=['Age'])
print(result)
Age
0 54
1 48
2 44
3 64
4 66
5 72
6 54
7 64
关于python - 聚合组产生 Pandas 数据框,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57830819/