title: how to locate row in dataframe without headers
body: <p>I noticed that when using .loc in pandas dataframe, it not only finds the row of data I am looking for but also includes the header column names of the dataframe I am searching within.</p>
  
  <p>So when I try to append the .loc row of data, it includes the data + column headers - I don't want any column headers!</p>
  
  <pre><code>##1st dataframe
  df_futures.head(1)
  date     max    min
  19990101 2000   1900
  
  ##2nd dataframe
  df_cash.head(1)
  date$   max$   min$
  1999101 50     40
  
  ##if date is found in dataframe 2, I will collect the row of data
  data_to_track = []
  
  for ii in range(len(df_futures['date'])):
      ##date I will try to find in df2
      date_to_find = df_futures['date'][ii]
  
      ##append the row of data to my list
      data_to_track.append(df_cash.loc[df_cash['Date$'] == date_to_find])     
  </code></pre>
  
  <p>I want the for loop to return just 19990101  50  40</p>
  
  <p>It currently returns  0 19990101 50  40, date$, max$, min$</p>