python - How to divide two columns element-wise in a pandas dataframe

Question

I have two columns in my Pandas dataframe. I'd like to divide column a by column b, value by value, and show it as follows:

import pandas as pd

csv1=pd.read_csv('auto$0$0.csv')
csv2=pd.read_csv('auto$0$8.csv')

df1 = pd.DataFrame(csv1, columns = ['Column A','Column B'])
df2 = pd.DataFrame(csv2, columns = ['Column A','Column B'])

dfnew = pd.concat([df1, df2])

The columns:

Column A | Column B |
12-------|--2-------|
14-------|--7-------|
16-------|--8-------|
20-------|--5-------|

and the expected result

Result
6
2
2
4

How do I do this?

Answer 1

Just divide the columns:

In [158]:
df['Result'] = df['Column A']/df['Column B']
df

Out[158]:
   Column A  Column B  Result
0        12         2     6.0
1        14         7     2.0
2        16         8     2.0
3        20         5     4.0