How to subtract two dfs based on row?

Question

Imagine you have the following two dfs:

    lines
        line amount#1   line amount#2
        0   18.20        0.82
        1   NaN         NaN
        2   40.00       259.00
        3   388.00       NaN
        4   17.41         NaN





btws

    btw-amount#1    btw-amount#2
    0   0.0          0.14
    1   NaN          NaN
    2   NaN          NaN
    3   NaN          NaN
    4   NaN          NaN

I want to subtract these two dfs such that there is a new df that is like the following:

line amount#1   line amount#2
0   18.20        0.68
1   NaN         NaN
2   40.00       259.00
3   388.00       NaN
4   17.41         NaN

I've tried:

lines.subtract(btws, axis =0)

However, everyting turns NaN.

Please help!

Answer 1

result = lines.to_numpy() - btws.to_numpy()
result = pd.DataFrame(result, columns=lines.columns)