title: Applying operations on multiple column values and storing in another dataframe
body: <p>There is a dataframe with about 10 columns and the need is to divide columns with one another and store the result in another dataframe column.</p>
  <p>Dataframe looks like -</p>
  <pre><code>      c1   c2  c3   c4   c5   c6  c7   c8   c9   c10
     0  10  100  200  300  400 500  600  700  800  900
     1  11  110  210  310  410 510  610  710  810  910
     2  12  120  220  320  420 520  620  720  820  920
  </code></pre>
  <p>I want to divide col1 with col6 and store its values in new dataframe col, similarly divide col2 with col7 and store the result in another dataframe new col and so on till col5 of x and col10 of y. For eg df2 would contain -</p>
  <pre><code>      col1   col2   col3    col4    col5   
     0  50     6      3.5     2.66    2.25 
     1  46.3   5.54   3.38    2.61    2.21
     2  43.3   5.16   3.27    2.56    2.19
  </code></pre>
  <p>I have used this but it stores one result at a time. For another round I have to re-write another loop .</p>
  <pre><code>for x, y in zip(df.iloc[:,1:2],df7.iloc[:,6:7]):
  df2['col1'] = y/x
  </code></pre>
  <p>Following the above code, I get -</p>
  <pre><code>      col1    
     0  50     
     1  46.3  
     2  43.3 
  </code></pre>
  <p>I want to have all the 5 columns in df2 at a time. Is there any way where i can use one time run statements to get the result. Thanks for the help!!</p>