title: Condensing 5 lists containing 30 dictionaries each into single dataframe
body: <p>I have 5 lists that contain 30 dictionaries each. Each dictionary has two key value pairs, team_name and fd_points which represents how many points per game that team gives up to that opposing position, for example:</p>
  <pre><code>point_guards = [
  {'team_name': 'NOR', 'fd_points': '56.15'},
  {'team_name': 'ORL', 'fd_points': '53.72'},
  ] 
  
  shooting_guards = [
  {'team_name': 'NOR', 'fd_points': '57.13'},
  {'team_name': 'ORL', 'fd_points': '43.72'},
  ] 
  </code></pre>
  <p>I would like to condense all these lists into a dataframe that I will write to a csv in which the final product shows each team name as rows across 5 columns each column representing the amount of points that team gives up to each opposing position.</p>
  <pre class="lang-none prettyprint-override"><code>NOR, PG_points, SG_points, SF_points, PF_points, C_points
  ORL, PG_points, SG_points, SF_points, PF_points, C_points
  </code></pre>
  <p>If there is a better way to go about it than putting all of the data into a dataframe I'm open to suggestions, I have other data I scrape and put into a dataframe then write to a csv, so that's why I chose that route.</p>