conact_persons

import pandas as pd

import math

#Haversine function to find the distance between 2 points on a sphere by using the latitude and longitude
def havers(lat1, lat2, lon1, lon2):

    R = 6373.0
    #radius of the Earth

    #convert the latitude longitude details to radians
    latitude1 = math.radians(lat1)
    longitude1 = math.radians(lon1)
    latitude2 = math.radians(lat2)
    longitude2 = math.radians(lon2)

    #determine the change in coordinates
    dlon = longitude2 - longitude1
    dlat = latitude2 - latitude1

    #formula to find the distance
    a = math.sin(dlat / 2)**2 + math.cos(latitude1) * math.cos(latitude2) * math.sin(dlon / 2)**2
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
    distance = ( R * c ) * 1000

    return(distance)

lat1= [52.574560,52.466634,53.67777]
long1=[13.278290,13.321577,14.65788]
lat2= [52.574580,52.466387,56.67777]
long2=[13.278620,13.322380,14.65788]
contact_uids =[]
data1 = pd.DataFrame({
'lat': lat1,
'lon': long1,

})

data2 = pd.DataFrame({
'lat': lat2,
'lon': long2,
})

for i in range(0,len(data1)): 
    for j in range(0,len(data2)): 
        dist= havers(data1.iloc[i]['lat'],data2.iloc[j]['lat'],data1.iloc[i]['lon'],data2.iloc[j]['lon'])
        print(dist)