Python Pandas Data frame creation

One of the correct ways would be to stack the array data from the input list holding those series into columns –

In [161]: pd.DataFrame(np.c_[s,t],columns = ["MUL1","MUL2"])
Out[161]: 
   MUL1  MUL2
0     1     2
1     2     4
2     3     6
3     4     8
4     5    10
5     6    12

Behind the scenes, the stacking creates a 2D array, which is then converted to a dataframe. Here’s what the stacked array looks like –

In [162]: np.c_[s,t]
Out[162]: 
array([[ 1,  2],
       [ 2,  4],
       [ 3,  6],
       [ 4,  8],
       [ 5, 10],
       [ 6, 12]])