how to append a list of of lists with different lengths

I am trying to use a list of lists to add rows to a dataframe.

The error is as follows: IndexError: invalid index to scalar variable.

The code is below:

Total_List = [[1,2,3],[4,5,6],[7,8,9],[10,11,12],[13,14,15]]

Some_List = ['0', '1', '2', '3', '4']

first_row = {'A': [0], 'B': [0], 'C': [0]}
All_Rows = pd.DataFrame(first_row)

#Optimized_Trades

for i in range(len(Some_List)):
    for j in range(len(Some_List[i])):
        df_temp = { 'A': Total_List[i][j], 'B': Total_List[i][j], 'C': Total_List[i][j]}
        All_Rows = All_Rows.append(df_temp, ignore_index = True)

All_Trades = All_Trades[1:]
        
display(All_Trades)

Ideally, the final output would be:

1,4,7,10,13
2,5,8,11,14
3,6,9,12,15

IIUC, you want to add each of the first, second ... nth elements of each sublist as rows of the data frame, which is equivalent to the dataframe of the transpose of the list of lists.

You don't need a for loop to do this in python.

Using zip with unpacking operator

You can do it in a few ways but the one way would be zip with unpacking operator * using list(zip(*l))

l = [[1,2,3],[4,5,6],[7,8,9],[10,11,12],[13,14,15]]

lt = pd.DataFrame(zip(*l)) #<---
print(lt)

   0  1  2   3   4
0  1  4  7  10  13
1  2  5  8  11  14
2  3  6  9  12  15

Using pandas transpose

A simpler way would be to use pandas to do this where you can simply use transpose -

l = [[1,2,3],[4,5,6],[7,8,9],[10,11,12],[13,14,15]]

lt = pd.DataFrame(l).T  #<---
print(lt)

   0  1  2   3   4
0  1  4  7  10  13
1  2  5  8  11  14
2  3  6  9  12  15