title: How to convert coordinates from NAD83 to regular gps coordinates (lat/lon) in pandas?
body: <p>I couldn't find any library.function in python/pandas to convert coordinates from NAD83 standard to GPS lat/lon degreed.</p>
  
  <p>Below is an example to reproduce the situation. I am looking for a function to convert these NAD83 coordinates to regular GPS lat/lon. All the points below are expected to be around <code>St. Louis, MO</code> (i.e. approximately <code>38.6270° N</code>, <code>90.1994° W</code>).</p>
  
  <pre><code>xcoords = [894557.5, 880625.2, 896551.8, 896551.8, 896497.6, 903061.1]
  ycoords = [1025952, 996012.7, 1025333, 1025333, 997157.3, 1033547]
  df = pd.DataFrame({'xcoords':xcoords, 'ycoords':ycoords}) 
  </code></pre>
  
  <p>which means </p>
  
  <pre><code>xcoords     ycoords 
  894557.5    1025952.0
  880625.2    996012.7
  896551.8    1025333.0
  896551.8    1025333.0
  896497.6    997157.3
  903061.1    1033547.0
  </code></pre>
  
  <p>datasource = <a href="http://www.slmpd.org/Crimereports.shtml" rel="nofollow noreferrer">http://www.slmpd.org/Crimereports.shtml</a></p>
  
  <p>metadata   = <a href="http://www.slmpd.org/Crime/CrimeDataFrequentlyAskedQuestions.pdf" rel="nofollow noreferrer">http://www.slmpd.org/Crime/CrimeDataFrequentlyAskedQuestions.pdf</a> (see <code>XCoord and YCoord - what are these coordinates of/for?</code>)</p>