Get constraints in matrix format from gurobipy

Please give me help for my problem solving the data is as bellow, 

1- we have the number of each box as 

Nbre de of boxes by type of boxe
3E  24
3G  14
3P  4
4C  7
6K  16
AE  59
I9  3
KD  2
RN  4
RP  31
WF  37
2-List of the possible combinations are: 
frame 1   
3E   (4C, 6K)   
3G   (3P, 4C)   
3G   (4C, AE)   
3G   (4C, I9)   
RN   (3G, 3P)   
RN   (3G, AE)   
RN   (3G, I9)   
RP   (3G, 4C)   
RP   (3P, AE)   
RP   (3P, I9)   
RP   (AE, I9)   
WF   (3P, 4C)   
WF   (4C, AE)   
WF   (4C, I9)  

it means for the first row for i.e

3E   (4C, 6K) :  one boxe of  3E can bear under it 1 4C and 1 6K

I translate the combination bellow by numbres of modules:

24  (16 7)
14  (7  4)
14  (59 7)
14  (3  7)
2   (7  24)
4   (4  14)
4   (59 14)
4   (3  14)
4   (37 4)
4   (37 59)
4   (37 3)
31  (7  14)
31  (59 4)
31  (3  4)
31  (37 7)
31  (3  59)
37  (7  4)
37  (59 7)
37  (3  7)

the maximum of each possible combination is limited by nbre of module that i have of boxes which is:

column 2 =

7
4
7
3
2
4
4
3
4
4
3
7
4
3
7
3
4
7
3

there are two constraints:

1- the minimum of each row less or equal to the column2
2- each cell bellow('3E for example) is the sum wherever you find the
"type" in the 19 rows(the combinations)

the obj is to optimize the sum of all the combinations of each type of boxe
wherever found in frame 1

how to translate this to a a program gurobi please your help