Creating new columns by generating a multiples of 2

I have a data frame of multiple columns. I want to select the first column and produce 7 more by multiplying the first column in multiples of 2. Help out, please

I tried creating more columns, but the data is not transferred to the new columns.

>Solution :

Assuming such an input:

import pandas as pd

df = pd.DataFrame({'col': [1,2,3,10]})

An efficient approach would be to use numpy broadcasting:

import numpy as np

N = 7
nums = 2**np.arange(1, N+1)
out = df.join(pd.DataFrame(
    df.iloc[:, 0].to_numpy()[:,None]*nums,
    index=df.index, columns=nums
   ).rename(columns=lambda x: f'*{x}')
)

print(out)

Output:

   col  *2  *4  *8  *16  *32  *64  *128
0    1   2   4   8   16   32   64   128
1    2   4   8  16   32   64  128   256
2    3   6  12  24   48   96  192   384
3   10  20  40  80  160  320  640  1280