title: Python: how to convert a list of dictionary to a geopandas dataframe?
body: <p>I have list of dictionary that looks like the following</p>
  <pre><code>myList:
  
  [{'properties': {'raster_val': 159.6666717529297},
    'geometry': {'type': 'Polygon',
     'coordinates': [[(0.016648035783361492, 5.810164488393165),
       (0.016648035783361492, 5.801840470501484),
       (0.024972053675042183, 5.801840470501484),
       (0.024972053675042183, 5.810164488393165),
       (0.016648035783361492, 5.810164488393165)]]}},
   {'properties': {'raster_val': 176.6071014404297},
    'geometry': {'type': 'Polygon',
     'coordinates': [[(0.024972053675042183, 5.810164488393165),
       (0.024972053675042183, 5.801840470501484),
       (0.033296071566722985, 5.801840470501484),
       (0.033296071566722985, 5.810164488393165),
       (0.024972053675042183, 5.810164488393165)]]}}]
  </code></pre>
  <p>I would like a pandas datafame like the following</p>
  <pre><code>df
        raster_val            geometry
  0   159.6666717529297     POLYGON(0.016648035783361492, 5.810164488393165), (0.016648035783361492, 5.801840470501484),(0.024972053675042183, 5.801840470501484),(0.024972053675042183, 5.810164488393165),(0.016648035783361492, 5.810164488393165)
  1   176.6071014404297     POLYGON(0.024972053675042183, 5.810164488393165),(0.024972053675042183, 5.801840470501484), (0.033296071566722985, 5.801840470501484),(0.033296071566722985, 5.810164488393165),(0.024972053675042183, 5.810164488393165)
  </code></pre>