title: multiply all columns by 100 except first column ( index column or the epoch datetime )
body: <p>i have read a csv file into a pandas dataframe </p>
  
  <pre><code> df= pd.read_csv(filename, sep=",", header = None, usecols=[0, 1, 2, 3, 4, 5])
  </code></pre>
  
  <p>Here is the format of dataframe </p>
  
  <p>my initial Dataframe:</p>
  
  <pre><code>           0       1        2        3        4     5
   0  1451606820  1.0862  1.08630  1.08578  1.08578  25
   1  1451608800  1.0862  1.08630  1.08578  1.08610  10
   2  1451608860  1.0862  1.08620  1.08578  1.08578  16
   3  1451610180  1.0862  1.08630  1.08578  1.08578  27
   4  1451610480  1.0858  1.08590  1.08560  1.08578  21
   5  1451610540  1.0857  1.08578  1.08570  1.08578   2
   6  1451610600  1.0857  1.08578  1.08570  1.08578   2
   7  1451610720  1.0857  1.08578  1.08570  1.08578   2
   8  1451610780  1.0857  1.08578  1.08570  1.08578   2
  
   Column '0' = Datetime in Epoch time 
   Columns 1,2,3,4,5 are values 
  </code></pre>
  
  <p>i want to only multiply columns 1,2,3,4,5 by 100  without changing column 0 or multiplying column 0 by 100</p>
  
  <p>i tried </p>
  
  <pre><code>  df.multiply(100)  
  </code></pre>
  
  <p>but it multiplies every column by 100 including column 0 . </p>
  
  <p>Also on my Column 1  the decimal points keeps getting truncated to 4 instead 5 like other columns. i am not sure what is causing that even though in the csv file i have </p>
  
  <pre><code>   1451606820 , 1.08622 , 1.08630 , 1.08578 , 1.08578 , 25
     1451608800 , 1.08626 , 1.08630 , 1.08578 , 1.08610 , 10
     1451608860 , 1.08623 , 1.08620 , 1.08578 , 1.08578 , 16
     1451610180 , 1.08627 , 1.08630 , 1.08578 , 1.08578 , 27
     1451610480 , 1.08588 , 1.08590 , 1.08560 , 1.08578 , 21
  </code></pre>