Issue
The train station dataframe is in this format:
Station Latitude Longitude
0 A MRT STATION 1.440585 103.800988
1 B MRT STATION 1.316433 103.882906
2 C MRT STATION 1.369933 103.849558
3 D MRT STATION 1.342501 103.880178
4 E MRT STATION 1.281874 103.859080
The house dataframe is in this format
Flat Latitude Longitude
0 AA 1.362005 103.853880
1 BB 1.389245 103.876556
2 CC 1.372937 103.870717
3 DD 1.388401 103.771882
4 EE 1.290067 103.829246
i manage to find the closest station to each flat in distance, but how can i include a column which indicates what the closest station is
def compute_distance(flat, place):
Latitude, Longtitude = flat[['Latitude','Longitude']]
min_distance = 9999.0
for place_lat, place_long in zip(place['Latitude'], place['Longitude']):
distance = geodesic((Latitude, Longtitude), (place_lat, place_long)).m
if distance < min_distance:
min_distance = distance
return min_distance
distance_school = flat.apply(compute_distance, axis=1, place=station)
Here is the code that i did to find the shortest distance, but i cant seems to find a way to include the nearest train station
Solution
How about
def compute_distance(flat, place):
Latitude, Longtitude = flat[['Latitude','Longitude']]
min_distance = 9999.0
nearest_station = None
for place_lat, place_long, place_name in zip(place['Latitude'], place['Longitude'], place['Station']):
distance = geodesic((Latitude, Longtitude), (place_lat, place_long)).m
if distance < min_distance:
min_distance = distance
nearest_station = place_name
return min_distance, nearest_station
Answered By - SystemSigma_
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