story_bike_share_clean_1.py

from datetime import timedelta
from fuzzywuzzy import fuzz

import matplotlib.pyplot as plt
import pandas as pd
import requests
import seaborn as sns

import json
import os


r = requests.get('https://tor.publicbikesystem.net/ube/gbfs/v1/en/station_information')

bikeshare_stations = pd.DataFrame(json.loads(r.content)['data']['stations'])[['station_id', 'name', 'lat', 'lon']].astype({
    'station_id': 'float64',
})

bikeshare_stations.to_csv('./data/bikeshare_stations.csv', index=False)