title: shapely's scale function in geopandas returns points of similar magnitude
body: <p>I have a .shp file that I read into a geopandas dataframe. I change the coordinate reference system to 2163 since I'm making some rectangular maps and want them to look somewhat normal. </p>
  
  <pre><code>geo_df = geo.GeoDataFrame.from_file('path to shp files here')
  geo_df = geo_df.to_crs(epsg=2163)
  </code></pre>
  
  <p>Dataframe looks like this:</p>
  
  <pre><code>In [10]: geo_df.geometry
  Out[10]: 
  0       POLYGON ((1189879.121395004 -1019103.847184072...
  1       POLYGON ((1220434.289428635 -1303875.122589418...
  2       POLYGON ((1210969.088787247 -1295221.772496042...
  3       POLYGON ((1217371.162725744 -1300978.843646188...
  </code></pre>
  
  <p>Now I'm computing a pairwise distance matrix, but since these coordinates are given in meters, the numbers are quite large and I run into overflow problems. So I try this:</p>
  
  <pre><code>geo_df.geometry = geo_df.geometry.scale(xfact=1/10000, yfact=1/10000, zfact=1.0)
  </code></pre>
  
  <p>But the coordinates of my polygons are not any smaller (just shifted a bit, which is fine). Printing the supposedly rescaled dataframe gives this:</p>
  
  <pre><code>In [12]: geo_df.geometry.scale(xfact=1/10000, yfact=1/10000, zfact=1.0)
  Out[12]: 
  0       POLYGON ((1197230.99656014 -1026296.564074459,...
  1       POLYGON ((1221475.564597901 -1304490.752661498...
  2       POLYGON ((1215982.083961291 -1290526.930856638...
  3       POLYGON ((1223839.012413891 -1292585.80012823,...
  </code></pre>
  
  <p>I was hoping to get something like this. </p>
  
  <pre><code>Out[12]: 
  0       POLYGON ((119.723099656014 -102.6296564074459,...
  1       POLYGON ((122.1475564597901 -130.4490752661498...
  2       POLYGON ((121.5982083961291 -129.0526930856638...
  3       POLYGON ((122.3839012413891 -129.258580012823,...
  </code></pre>
  
  <p>Maybe I just don't understand what <a href="http://toblerity.org/shapely/shapely.html" rel="nofollow noreferrer">shapely's scaling function</a> is supposed to do, though it seems pretty straightforward.</p>