title: Python Pandas - Concat dataframes with different columns ignoring column names
body: <p>I have two <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html" rel="noreferrer"><code>pandas.DataFrames</code></a> which I would like to combine into one. The dataframes have the same number of columns, in the same order, but have column headings in different languages. How can I efficiently combine these dataframes?</p>
  
  <pre><code>df_ger
  index  Datum   Zahl1   Zahl2
  0      1-1-17  1       2
  1      2-1-17  3       4
  
  df_uk
  index  Date    No1     No2
  0      1-1-17  5       6
  1      2-1-17  7       8
  
  desired output
  index  Datum   Zahl1   Zahl2
  0      1-1-17  1       2
  1      2-1-17  3       4
  2      1-1-17  5       6
  3      2-1-17  7       8
  </code></pre>
  
  <p>The only approach I came up with so far is to rename the column headings and then use <code>pd.concat([df_ger, df_uk], axis=0, ignore_index=True)</code>. However, I hope to find a more general approach.</p>