Python address to coordinate

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Python script to convert addresses to coordinates using google maps

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ffreitasalves/python-address-to-coordinates

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README.md

Python script to convert addresses to coordinates using google maps

from script import coordinates test = coordinates('first avenue, new york, usa') >>> print test['lat'] 40.763368 >>> print test['lng'] -73.95924 

Coordinates for each row in an excel file

#The third argument of this function is the column that contains the address. #It wil read the input.xlsx file, read the 'Plan1' sheet, looking for coordinates to addresses('0' column) #And create another file 'output.xlsx' with two more columns lat and lng for each row. from script import xlsx_coordinates xlsx_coordinates('input.xlsx','Plan1',0,'output.xlsx') 

Create a kml file from a xlsx

from script import create_kml create_kml('input.xlsx','sheet_name','output.kml') 

About

Python script to convert addresses to coordinates using google maps

Источник

Как определить координаты места по его адресу в Python?

Привет всем! Этот пост является логическим продолжением вот этого поста, посвященного определению расстояния между двумя точками на карте по координатам GPS. Сегодня мы разберемся, как определить координаты места по его адресу в Python.

На помощь (в который раз!) приходят библиотеки. Сегодня — библиотека geopy. Работает она с помощью ряда публично-доступных API, среди которых имеются OpenStreetMap Nominatim и Google Geocoding API, благодаря чему вы можете искать GPS-координаты по адресу или названию интересующешго вас места. Больше того! С помощью этой библиотеки вы можете определить дистанцию между двумя интересующими вас точками! А значит — никакой больше формулы Хаверсина — просто библиотека, и две строки кода. Пример — как всегда — ниже:

from geopy.geocoders import Nominatim #Подключаем библиотеку geolocator = Nominatim(user_agent="Tester") #Указываем название приложения (так нужно, да) adress = str(input('Введите адрес: \n')) #Получаем интересующий нас адрес location = geolocator.geocode(adress) #Создаем переменную, которая состоит из нужного нам адреса print(location) #Выводим результат: адрес в полном виде print(location.latitude, location.longitude) #И теперь выводим GPS-координаты нужного нам адреса

А теперь давайте определим дистанцию между двумя интересующими нас точками:

from geopy.geocoders import Nominatim #Подключаем библиотеку from geopy.distance import geodesic #И дополнения geolocator = Nominatim(user_agent="Tester") #Указываем название приложения address_1 = str(input('Введите город 1: \n')) #Получаем название первого города address_2 = str(input('Введите город 2: \n')) #Получаем название второго города location_1 = geolocator.geocode(address_1) #Получаем полное название первого города location_2 = geolocator.geocode(address_2) #Получаем полное название второго города print('Город 1: ', location_1) #Выводим первичные данные print('Город 2: ', location_2) #Выводим первичные данные print('Координаты города 1: ', location_1.latitude, location_1.longitude) #Выводим координаты первого города gps_point_1 = location_1.latitude, location_1.longitude #Выводим координаты первого города gps_point_2 = location_2.latitude, location_2.longitude #Выводим координаты второго города print('Координаты города 2: ', location_2.latitude, location_2.longitude) #Выводим общие данные print('Дистанция между городом', location_1, 'и городом ', location_2, ': ', geodesic(gps_point_1, gps_point_2).kilometers, ' километров') #Выводим полученный результат в километрах

Блин, все реально очень просто, я просто в восторге.
Как всегда — в случае возникновения вопросов пишите на почту, или в Телеграм.

Источник

Python Geopy to find geocode of an Address

Every point on the surface of Earth can be represented using its latitude and longitude value.

According to Wikipedia, “Geocoding is the computational process of transforming a postal address description to a location on the Earth’s surface (spatial representation in numerical coordinates).”

If simply put together, The process of representing text addresses to their corresponding Latitude and Longitude on earth surface is called Geocoding.

In this article, we will retrieve the geocode of an address using Python’s GeoPy library.

GeoPy

GeoPy is not a Geocoding service but simply a python client for several popular geocoding web services. It uses third-party geocoders and other data sources to find geocode of an address.

The figure below gives some idea about function of GeoPy.

as seen in the figure above Geocoding is provided by a number of different services. These services provide APIs, GeoPy library provides an implementation of these APIs in a single package. for a complete list of geocoding service providers implemented by geopy, you can refer this documentation.

Some important points to consider:

• Geocoding services are either paid or free so prior to selecting a service do go through their Terms of Use, quotas, pricing, geodatabase, and so on.
• geopy cannot be responsible for any networking issues between your computer and the geocoding service.

With enough high level idea of what GeoPy does, let’s now see how to use it to retrieve geocode of an address.

Geocoding Services

There are many Geocoding services available, but I really liked GeocodeAPI. They have multiple endpoints to get lat-long from address as well as reverse geocoding. One of their advanced features is the address auto-complete API.

They can even return a complete address from a partial address. Also, they provide 10,000 free requests per day, which is great if you are just starting to build your application. You can get more details from their pricing page.

Geocoding using GeoPy

Each geolocation service i.e. Nominatim, has its own class in geopy.geocoders linking to the service’s API. Geocoders have least a geocode method, for looking up coordinates from a provided string(address we want to geocode).

this class also has an implementation of a reverse method, which is in reverse to the geocode method. here we need to provide the coordinates of a point on the earth’s surface and the method returns the address associated with the provided lat and lon.

1. Finding Geocode of an address

We’ll be using Nominatim geocoding services in this tutorial.

#Importing the Nominatim geocoder class from geopy.geocoders import Nominatim #address we need to geocode loc = 'Taj Mahal, Agra, Uttar Pradesh 282001' #making an instance of Nominatim class geolocator = Nominatim(user_agent="my_request") #applying geocode method to get the location location = geolocator.geocode(loc) #printing address and coordinates print(location.address) print((location.latitude, location.longitude))

Output: Taj Mahal, Taj Mahal Internal Path, Taj Ganj, Agra, Uttar Pradesh, 282001, India (27.1750123, 78.04209683661315)

using the code above we found the coordinates of Taj mahal, Agra, India.

Nominatim class has a geocode method which accepts a string of an address and returns its coordinates from the service provider’s database. The object returned by using the geocode method has an address method which returns the complete address, a latitude , londitude method to retrieve lat and on of that address.

the Nominatim geocoder class accepts user_agent as an input argument that acts as a header to send the requests to geocoder API.

2. Using GeoPy with Pandas Dataframe

The RateLimiter class acts as a wrapper around the geocoder class with which we can delay the time to make requests to the server if we have to process many requests.

The number of requests to make to a geocoding service provider needs to be taken into account while making multiple requests or it will raise an error.

Let’s now apply this to a pandas dataframe having the address for some beautiful nature spots in India.

#Importing the required modules import pandas as pd from geopy.geocoders import Nominatim from geopy.extra.rate_limiter import RateLimiter #Creating a dataframe with address of locations we want to reterive locat = ['Coorg, Karnataka' , 'Khajjiar, Himachal Pradesh',\ 'Chail, Himachal Pradesh' , 'Pithoragarh, Uttarakhand','Munnar, Kerala'] df = pd.DataFrame() #Creating an instance of Nominatim Class geolocator = Nominatim(user_agent="my_request") #applying the rate limiter wrapper geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1) #Applying the method to pandas DataFrame df['location'] = df['add'].apply(geocode) df['Lat'] = df['location'].apply(lambda x: x.latitude if x else None) df['Lon'] = df['location'].apply(lambda x: x.longitude if x else None) df

The RateLimiter class needs a geocoder class object and min_delay_seconds as input arguments. this method makes requests to the server of geocoding service with the specified time delay. if the location of the string is not found it automatically returns None.

with Pandas .apply method we can apply the wrapper to the specified column on our dataframe.

Conclusion

In this article, we learned what geocoding is and how python’s GeoPy library provides us with a simple implementation of Geocoding services APIs. We also geocoded an address in text format to get its latitude and longitude coordinates and applied the method on a pandas DataFrame having a column of address.

Источник

Geocode with Python

How to Convert physical addresses to Geographic locations → Latitude and Longitude

Datasets are rarely complete and often require pre-processing. Imagine some datasets have only an address column without latitude and longitude columns to represent your data geographically. In that case, you need to convert your data into a geographic format. The process of converting addresses to geographic information — Latitude and Longitude — to map their locations is called Geocoding.

G eocoding is the computational process of transforming a physical address description to a location on the Earth’s surface (spatial representation in numerical coordinates) — Wikipedia

In this tutorial, I will show you how to perform geocoding in Python with the help of Geopy and Geopandas Libraries. Let us install these libraries with Pip if you have already Anaconda environment setup.

pip install geopandas
pip install geopy

If you do not want to install libraries and directly interact with the accompanied Jupyter notebook of this tutorial, there are Github link with MyBinder at the bottom of this article. This is a containerised environment that will allow you to experiment with this tutorial directly on the web without any installations. The dataset is also included in this environment so there is no need to download the dataset for this tutorial.

Geocoding Single Address

To geolocate a single address, you can use Geopy python library. Geopy has different Geocoding services that you can choose from, including Google Maps, ArcGIS, AzureMaps, Bing, etc. Some of them require API keys, while others do not need.

As our first example, we use Nominatim Geocoding service, which is built on top of OpenStreetMap data. Let us Geocode a single address, the Eifel tower in Paris.

locator = Nominatim(user_agent=”myGeocoder”)
location = locator.geocode(“Champ de Mars, Paris, France”)

We create locator that holds the Geocoding service, Nominatim. Then we pass the locator…

Источник