def learn(city, station):
# Get data from the past 30 days
threshold = datetime.datetime.now() - datetime.timedelta(days=timespan)
try:
dataframe = query.station(city, station, threshold)
except:
return
# Prepare the dataframe for learning
dataframe = munging.prepare(dataframe)
# Apply the regressor that is chosen in the settings
method.fit(dataframe, 'bikes', city, station)
method.fit(dataframe, 'spaces', city, station)
