title: Pandas DataFrame has multiple rows instead of columns
body: <p>this might be a very simply question, even after quite some time I could not manage what I want.</p>
  
  <p>I have a pandas Dataframe from which I would like to add a couple of cols from one row to a new DataFrame. In this more values shall be added and then this DataFrame shall be appended to another one.</p>
  
  <p>Somehow my "df_row" is always displayed as one column. When I then append this to my df_result it has also only one column instead of 6.
  Where is the error?</p>
  
  <p>Thx</p>
  
  <pre><code>#Create empty df
  df_result = pandas.DataFrame(columns= ["filename, class, x, y, lbl, pred, c_pred"])
  
  # Make new df from an existing one (not shown)
  # This deliveres a frame with 6 Rows instead of 6 columns
  idx = 1 #Normally used in a loop
  df_row = pandas.DataFrame([df.iloc[idx:idx+1, 0:1].values, df.iloc[idx:idx+1, 1:2].values, df.iloc[idx:idx+1, 2:3].values, df.iloc[idx:idx+1, 3:4].values, label, pred.item(), correct_prediction], columns= ["filename, class, x, y, lbl, pred, c_pred"])
  
  # Has also only one column
  df_result = df_result.append(df_row)
  </code></pre>