I have two dataset one with polygon name and polygon and other with location name and latitude and longitude.
Data 1 (Geopandas Dataframe)
import geopandas as gpd data_poly = gpd.read_file(path + "Data_community_file.geojson") COMMUNITY NAME POLYGON New York MULTIPOLYGON (((55.1993358199345 25.20971347951325, 55.19385836251354 25.20134197109752.... 25.20971347951325))) Chennai MULTIPOLYGON (((65.1993358199345 22.20871347951325, 55.19325836251354 15.20132197109752 .... 15.20971347951325)))
Data 2 (Data Frame)
STOP NAME LONGITUDE LANGITUDE Chennai main stop 55.307228 25.248844 Cabra stop 55.278824 25.205862 USA stop NY 55.069368 24.973946
If the data 2 (stop_name) is inside in the data 1 (polygon) need to extract the name of the polygon. ie. if the USA Stop NY is present in any "New York" need to add the name in the new column in data2.(You need to convert the lat and lot to Point(Lat,Lon) format for the below code.)
Sample code :
import json from shapely.geometry import shape, Point # depending on your version, use: from shapely.geometry import shape, Point # load GeoJSON file containing sectors with open('sectors.json') as f: js = json.load(f) # construct point based on lon/lat returned by geocoder point = Point(-122.7924463, 45.4519896) # check each polygon to see if it contains the point for feature in js['features']: polygon = shape(feature['geometry']) if polygon.contains(point): print(feature)
The above code will able extract the polygon based on the "Point". How to apply the same for the data frame in the place of the point?