I have a csv
file that contains a column that contains multipolygon
representation of NYC. Meaning, NYC is divided into multi-polygons and those multi-polygons are stored in a column called the_geom
in the csv
file I have.
My question is how can I get the list of all possible points in each multipolygon
?
What I have done so far is simply pick a random point in a multipolygon
, then check if the selected point is contained in the multipolygon
, the code to do so is:
multipolygon = shapely.wkt.loads(row['the_geom'])
minx, miny, maxx, maxy = multipolygon.bounds
pnt1 = Point(random.uniform(minx, maxx), random.uniform(miny, maxy))
while not multipolygon.contains(pnt1):
pnt1 = Point(random.uniform(minx, maxx), random.uniform(miny, maxy))
How do I get the list of all points within a multipolygon
?
Should I convert each multipolygon
to a polygon
first so I can get the list of all possible points in each multipolygon
?
I have seen solutions is google that suggests using GeoPandas.explode()
, but I'm not sure if it is the correct approach to convert multipolygon
to polygon
or not.
I'd like to know what is the correct way to get a list of all points within a multipolygon
, thanks!