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Applied Data Science Project using live GeoJSON data from the LA Metro Bike service

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metrobike

Applied Data Science Project using live GeoJSON data from the LA Metro Bike service. The program retrieves the current LA Metro Bike Station data and uses it to

  • display the k nearest stations with available bikes
  • display the k nearest stations with available docks
  • plan a route and include a suitable bike and dock along the way

The points are drawn onto a map which is then opened in a browser.

This was my first ever project using Python as well as the first time that I used Git.

DEPENENCIES

This project uses Folium, Geopy as well as Geopandas. Please make sure to install these packages according to the instructions on their respective websites. You will also need a valid Rapid-API Key to insert in the directions() function in ext_requests.py:

headers = {"X-RapidAPI-Key": "INSERT YOUR KEY HERE","X-RapidAPI-Host": "route-and-directions.p.rapidapi.com" }

FOLIUM:

https://python-visualization.github.io/folium/installing.html

GEOPY:

https://geopy.readthedocs.io/en/stable/#installation

GEOPANDAS:

https://geopandas.org/en/stable/getting_started.html

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Applied Data Science Project using live GeoJSON data from the LA Metro Bike service

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