find distances using map in python

To find the distance between two locations using map in python, you first need to obtain the latitude and longitude coordinates for each location. You can use geocoding services like the Google Maps API or GeoPy to accomplish this.

Once you have the coordinates, you can use the Haversine formula to calculate the distance between the two points. Here is an example code snippet that demonstrates how to calculate the distance between two locations using the Haversine formula:

main.py
import math

def distance(lat1, lon1, lat2, lon2):
    R = 6371  # radius of the earth in km
    phi1, phi2 = math.radians(lat1), math.radians(lat2)
    dphi = math.radians(lat2 - lat1)
    dlambda = math.radians(lon2 - lon1)
    a = math.sin(dphi/2)**2 + \
        math.cos(phi1)*math.cos(phi2)*math.sin(dlambda/2)**2
    res = 2*R*math.atan2(math.sqrt(a), math.sqrt(1 - a))
    return res
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The distance() function takes four arguments: the latitude and longitude coordinates for the first location (lat1 and lon1) and the latitude and longitude coordinates for the second location (lat2 and lon2). It returns the distance between the two locations in kilometers.

To use this function, simply call it with the coordinates for the two locations you want to find the distance between:

main.py
# coordinates for New York City
lat1, lon1 = 40.7128, -74.0060

# coordinates for Los Angeles
lat2, lon2 = 34.0522, -118.2437

# calculate the distance between the two locations
dist = distance(lat1, lon1, lat2, lon2)

# print the distance
print(f"The distance between New York City and Los Angeles is {dist:.2f} km")
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This code will output:

main.py
The distance between New York City and Los Angeles is 3948.29 km
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