title: 'Timestamp' object is not iterable
body: <p>I am trying to multiply a pandas.core.series.Series (df1['col1']) with a pandas.core.frame.DataFrame (df2). Their indexes are the same but it always gives me back ' 'Timestamp' object is not iterable ' when I am trying to multiply them by doing</p>
  
  <pre><code>k = df1['col1'].mul(df2)
  
  
  [In] df1:
  [out]
  Index         col1    col2
  2065-12-20     12      apples
  2061-10-31     12      candies
  2045-11-28     70      marshmalow
  2043-10-31     11      apples
  2040-07-30     21      cars
  2049-06-30     64      planes
  2036-01-31     14      glasses
  
  
  
  [In] df2: 
  Index             col1    col2   etc.... 
  2065-12-20         14      120
  2061-10-31         18      800
  2045-11-28         19      580
  2043-10-31         21      12
  2040-07-30         44      21
  2049-06-30         1.2     17
  2036-01-31         61.8    61 
  </code></pre>
  
  <p>and I want </p>
  
  <pre><code>Index             col1        col2   etc.... 
  2065-12-20         14*12      120*12
  2061-10-31         18*12      800*12
  2045-11-28         19*70      580*70
  2043-10-31         21*11      12*11
  2040-07-30         44*21      21*21
  2049-06-30         1.2*64     17*64
  2036-01-31         61.8*14    61*61
  </code></pre>
  
  <p>the df1['col1'] was in days before, I transformed it using </p>
  
  <pre><code>df1['col1'] = (df1['col1'].values / np.timedelta64(1, 'D')).astype(int)
  </code></pre>
  
  <p>df1.dtypes = dtype('int32')</p>
  
  <p>any ideas why it throw back an error? </p>