Playing with jupyter notebook, python, pandas dataframes, matplotlib and folium for fun.
Results obtained with the notebook and JC Decaux open data api (as of 12/11/2017):
Some stats:
Graph Velib stands locations:
Number of Bike per stand:
Number of station per postcode:
Stations with no bike available:
Bike availability in percent:
Bike availability heatmap:
Stations with Bonus (if you climb to montmartre or belleville and leave your bike there your account gets a bonus):
Prerequisites:
- install anaconda (python 3)
- pip install folium (to draw nice maps)
- Free dev Key from JC Decaux ( https://developer.jcdecaux.com/#/opendata/vls?page=dynamic )
Inspired from: