title: How to create a column containing whitespace using assign() method in Pandas
body: <p><strong>Sample Data:</strong></p>
  <pre><code>import pandas as pd
  
  df1=pd.DataFrame({'Original City': {'Daimler': 'Chicago',
    'Mitsubishi': 'LA',
    'Tesla': 'Vienna',
    'Toyota': 'Zurich',
    'Renault': 'Sydney',
    'Ford': 'Toronto'}})
  
  df2=pd.DataFrame({'Current City': {'Tesla': 'Amsterdam',
    'Renault': 'Paris',
    'BMW': 'Munich',
    'Fiat': 'Detroit',
    'Audi': 'Berlin',
    'Ferrari': 'Bruxelles'}})
  </code></pre>
  <p><strong>Now my question is:</strong></p>
  <p>I am trying to create a column containing <code>whitespace</code> using <code>assign()</code> method:</p>
  <pre><code>df1.assign(Original City=df2['Current City'])
                     ^
                 #white space
  </code></pre>
  <p><strong>I tried:</strong></p>
  <pre><code>df1.assign('Original City'=df2['Current City'])
  df1.assign(r'Original City'=df2['Current City'])
  </code></pre>
  <p>And as expected It is giving me an error:</p>
  <pre><code>  File &quot;&lt;ipython-input-132-2ac564ac9d47&gt;&quot;, line 1
      df1.assign(Original City=df2['Current City'])
                          ^
  SyntaxError: invalid syntax
  </code></pre>
  <p>But I can able to assign my column like this:</p>
  <pre><code>df1.assign(OriginalCity=df2['Current City'])
  </code></pre>
  <p><strong>Is it possible to create a column containing ' ' space(white space) using <code>assign()</code> method?</strong></p>