Save Tuple Containing Polygon Coordinates to Shapefile Using Geopandas

Question

I'm having trouble converting a tuple containing the coordinates of polygon vertices to a shapefile.

Tuples are a very unfamiliar format to me; if it were in a dataframe, I could do it easily with geopandas.

shape= ({'type': 'Polygon',
  'coordinates': [[(-148.7285301097261, 60.42704276401832),
    (-148.7285301097261, 60.42693172262919),
    (-148.7285856304207, 60.42693172262919),
    (-148.72830802694787, 60.42704276401832),
    (-148.7285301097261, 60.42704276401832)]]},
 1.0)

I can't convert to dataframe via pd.DataFrame(shape); can't subset the tuple to access coordinates via shape['coordinates'] or pd.DataFrame(list(shape)). I've reviewed this, and this, but am stuck on getting the coordinates out of the Tuple structure!

How can I create a shapefile (via Geopandas), given a tuple of the structure shown here?

Answer 1

You should be able to convert it to pandas DataFrame by reading the first element of the tuple:

pd.DataFrame(shape[0]).explode('coordinates')

Out[1]: 
      type                               coordinates
0  Polygon   (-148.7285301097261, 60.42704276401832)
0  Polygon   (-148.7285301097261, 60.42693172262919)
0  Polygon   (-148.7285856304207, 60.42693172262919)
0  Polygon  (-148.72830802694787, 60.42704276401832)
0  Polygon   (-148.7285301097261, 60.42704276401832)

If you need to split into x and y you can just take the items from the series:

df = pd.DataFrame(shape[0]).explode('coordinates').reset_index(drop=True)

df = df.join(df['coordinates'].apply(pd.Series)).rename(columns={0:'x', 1:'y'}).drop('coordinates', axis=1)

Out[2]: 
      type           x          y
0  Polygon -148.728530  60.427043
1  Polygon -148.728530  60.426932
2  Polygon -148.728586  60.426932
3  Polygon -148.728308  60.427043
4  Polygon -148.728530  60.427043