calculate distances using map in python

To calculate distances using a map in Python, we need to have the latitude and longitude coordinates of the two points we want to get the distance between. One way to obtain these coordinates is through geocoding, using a service like Google Maps API or OpenStreetMap Nominatim API. Once we have the coordinates, we can use the Haversine formula to calculate the distance between them.

Here's an example implementation using the haversine package:

main.py
from haversine import haversine, Unit

# coordinates of points
start = (41.3850639, 2.1734035)   # Barcelona
end = (48.8588443, 2.2943506)     # Paris

# calculate distance between points
distance_km = haversine(start, end, unit=Unit.KILOMETERS)

print(f"The distance between Barcelona and Paris is {distance_km:.1f} km")
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In this example, we first import the haversine function and the Unit enumeration from the haversine package. Then we define the coordinates of the start and end points as tuples of latitude and longitude. We pass these coordinates to the haversine function along with the desired unit of measurement (in this case, kilometers). The function returns the distance between the two points in the specified unit. Finally, we print the result.

Note that the Haversine formula calculates the distance "as the crow flies" between two points, which may differ from the actual distance travelled by a person or vehicle following a road network. For more accurate distance calculations using a road network, you would need to use a routing engine or service, such as the Google Maps Directions API or the OpenTripPlanner API.