title: Pandas Insert a row above the Index and the Series data in a Dataframe
body: <p>I ve been around several trials, nothing seems to work so far.
  I have tried <code>df.insert(0, "XYZ", 555)</code> which seemed to work until it did not for some reasons i am not certain.</p>
  
  <p>I understand that the issue is that Index is not considered a Series and so, df.iloc[0] does not allow you to insert data directly above the Index column.</p>
  
  <p>I ve also tried manually adding in the list of indices part of the definition of the dataframe a first index with the value "XYZ"..but nothing has work.</p>
  
  <p>Thanks for your help</p>
  
  <p>A B C D are my columns. range(5) is my index. I am trying to obtain this below, for an arbitrary row starting with type, and then a list of strings..thanks</p>
  
  <pre><code>         A         B         C         D
  
  type 'string1' 'string2' 'string3' 'string4'
  
  0
  1
  2
  3
  4
  </code></pre>
  
  <p>If you use Timestamps as Index adding a row and a custom single row with its own custom index will throw an error:
  ValueError: Cannot add integral value to Timestamp without offset. I am guessing it's due to the difference in the operands, if i substract an Integer from a Timestamp for example.. ? how could i fix this in a generic manner? thanks! – </p>