I'm working in a urban biodiversity project and I have a csv file for a birds inventory with a column index called 'geom' composed by multypolygons as this:
name geom id 0 Abubilla MULTIPOLYGON(((421405.897134601 4585295.726121... 83 1 Abubilla MULTIPOLYGON(((424405.897979997 4584795.702582... 83 2 Abubilla MULTIPOLYGON(((424905.87219322 4581295.6934019... 83 3 Abubilla MULTIPOLYGON(((424905.883573821 4582795.695714... 83 4 Abubilla MULTIPOLYGON(((424905.906345894 4585795.700331... 83
the column 'geom' is not recognized as geometry.
when I run
birds_geo = birds.set_geometry('geom')
it returns the following error:
TypeError: Input geometry column must contain valid geometry objects.
I've tried this script which I found for a similar question:
from shapely.wkt import loads birds['geom'] = birds['geom'].apply(lambda x: loads(x)) for index, row in birds.iterrows(): birds.set_value(index, 'geom', loads(row['geom']))
but it seems to work for polygons but not for multipolygons, returning the following error:
AttributeError: 'MultiPolygon' object has no attribute 'encode'
Is there a way to make to turn multipolgons into a valid geometry index?