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# Get the city, state, and country names from latitude and longitude using Python

In this article, we are going to write a python script to get the city, state, and country names by using latitude and longitude using the Geopy module.geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the world.

To install the Geopy module, run the following command in your terminal.

`pip install geopy`

Approach:

• Import the Geopy module
• Initialize Nominatim API to get location from the input string.
• Get location with geolocator.reverse() function.
• Now extract the data from the location instance

Let’s implement with step by step:

Step #1: Import the module.

## Python3

 `# import module``from` `geopy.geocoders ``import` `Nominatim`

Step #2: Make a Nominatim object and initialize Nominatim API  with the geoapiExercises parameter.

## Python

 `# initialize Nominatim API``geolocator ``=` `Nominatim(user_agent``=``"geoapiExercises"``)`

Step #3: Now assign the latitude and longitude into a geolocator.reverse() method. A reverse() methods require the argument query, and also accept at least the argument exactly_one, which is True by default.

## Python3

 `# Latitude & Longitude input``Latitude ``=` `"25.594095"``Longitude ``=` `"85.137566"` `location ``=` `geolocator.reverse(Latitude``+``","``+``Longitude)` `# Display``print``(location)`

Output:

[Location(Rajendra Nagar, Patna, Patna Rural, Patna, Bihar, 800001, India, (25.594023552508407, 85.13756080147536, 0.0))]

Step #4: Now get the information from the given list and parsed into a dictionary with raw function().

## Python3

 `address ``=` `location.raw[``'address'``]``print``(address)`

Output:

```{'suburb': 'Rajendra Nagar',
'city': 'Patna',
'country': 'Patna Rural',
'state_district': 'Patna',
'state': 'Bihar',
'postcode': '800001',
'country': 'India',
'country_code': 'in'}```

Step #5: Now traverse the city, state, and country names.

## Python3

 `city ``=` `address.get(``'city'``, '')``state ``=` `address.get(``'state'``, '')``country ``=` `address.get(``'country'``, '')``code ``=` `address.get(``'country_code'``)``zipcode ``=` `address.get(``'postcode'``)``print``(``'City : '``,city)``print``(``'State : '``,state)``print``(``'Country : '``,country)``print``(``'Zip Code : '``, zipcode)`

Output:

```City :  Patna
State :  Bihar
Country :  India
Zip Code :  800001```

Full implementation:

## Python3

 `# import module``from` `geopy.geocoders ``import` `Nominatim` `# initialize Nominatim API``geolocator ``=` `Nominatim(user_agent``=``"geoapiExercises"``)`  `# Latitude & Longitude input``Latitude ``=` `"25.594095"``Longitude ``=` `"85.137566"` `location ``=` `geolocator.reverse(Latitude``+``","``+``Longitude)` `address ``=` `location.raw[``'address'``]` `# traverse the data``city ``=` `address.get(``'city'``, '')``state ``=` `address.get(``'state'``, '')``country ``=` `address.get(``'country'``, '')``code ``=` `address.get(``'country_code'``)``zipcode ``=` `address.get(``'postcode'``)``print``(``'City : '``, city)``print``(``'State : '``, state)``print``(``'Country : '``, country)``print``(``'Zip Code : '``, zipcode)`

Output:

```City :  Patna
State :  Bihar
Country :  India
Zip Code :  800001```

My Personal Notes arrow_drop_up