How to store results from for-loop into dataframe columns (Python 3)

I am new to Python and trying to store results from a for-loop into dataframe columns (Python 3). Let’s say I have the following data:

time=[1,2,3,4]
i=[1,2,3,4,5]
j=[10,20,30,40,50]
k=[100,200,300,400,500]
data_ijk=list(zip(i,j,k))

[(1, 10, 100), (2, 20, 200), (3, 30, 300), (4, 40, 400), (5, 50, 500)]

I want to loop through the data_ijk to solve the following equation:

eq=(i+j+k)*t

and put the results of equation into dataframe with column labels
col_labels=["A","B","C","D","E"] for each set of ijk and rows considering time (t).

The expected output should look something like this:

I know i need to define dataframe

df = pd.DataFrame(columns=[col_labels])

and I assume I should create nested for loop with data_abc and time, but I have no idea how to define to put results in different columns

for i,j,k in data_abc:
  for t in time:
  ...???
   print((i+j+k)*t)

>Solution :

Try:

df = pd.DataFrame(data=[[sum(x)*t for x in zip(i,j,k)] for t in time], 
                  columns=list("ABCDE"), 
                  index=time)

>>> df
     A    B     C     D     E
1  111  222   333   444   555
2  222  444   666   888  1110
3  333  666   999  1332  1665
4  444  888  1332  1776  2220