title: Converting pandas.core.series.Series to dataframe with appropriate column values python
body: <p>i'm running a function in which a variable is of pandas.core.series.Series type.</p>
  
  <pre><code>type of the series shown below.
  
  &lt;class 'pandas.core.series.Series'&gt;
  product_id_y    1159730
  count                 1
  Name: 6159402, dtype: object
  </code></pre>
  
  <p>i want to convert this into a dataframe,such that, i get</p>
  
  <pre><code>product_id_y    count
  1159730           1
  </code></pre>
  
  <p>i tried doing this:</p>
  
  <pre><code>series1 = series1.to_frame()
  </code></pre>
  
  <p>but getting wrong result</p>
  
  <p>after converting to dataframe</p>
  
  <pre><code>              6159402
  product_id_y  1159730
  count               1
  </code></pre>
  
  <p>after doing reset index i'e <code>series1 = series1.reset_index()</code></p>
  
  <pre><code>           index  6159402
   0  product_id_y  1159730
   1         count        1
  </code></pre>
  
  <p>is there anny other way to do this??</p>