python - 遍历多个数据框

Question

##1    
M_members = [1000 , 1450, 1900]  
M = pd.DataFrame(M_members)

##2
a_h_members = [0.4 , 0.6 , 0.8 ]
a_h = pd.DataFrame(a_h_members) 

##3
d_h_members = [0.1 , 0.2 ]
d_h = pd.DataFrame(d_h_members) 

因为我想要的输出是数据框形式:

1000 0.4 0.1
1000 0.4 0.2
1000 0.6 0.1
1000 0.6 0.2
1000 0.8 0.1
1000 0.8 0.2
1450 0.4 0.1
1450 0.4 0.2
1450 0.6 0.1
1450 0.6 0.2
1450 0.8 0.1
1450 0.8 0.2
1900 0.4 0.1
1900 0.4 0.2
1900 0.6 0.1
1900 0.6 0.2
1900 0.8 0.1
1900 0.8 0.2

实际上我想为更多的数据帧做这个循环。

Answer 1

使用itertools.product

>>> import itertools
>>> pd.DataFrame(itertools.product(*[M_members, a_h_members, d_h_members]))

---

       0    1    2
0   1000  0.4  0.1
1   1000  0.4  0.2
2   1000  0.6  0.1
3   1000  0.6  0.2
4   1000  0.8  0.1
5   1000  0.8  0.2
6   1450  0.4  0.1
7   1450  0.4  0.2
8   1450  0.6  0.1
9   1450  0.6  0.2
10  1450  0.8  0.1
11  1450  0.8  0.2
12  1900  0.4  0.1
13  1900  0.4  0.2
14  1900  0.6  0.1
15  1900  0.6  0.2
16  1900  0.8  0.1
17  1900  0.8  0.2