def run():
stations = build_station_list()
update_water_levels(stations)
highest_stations = stations_highest_rel_level(stations, 5)
dt = 10
for s in highest_stations:
dates, levels = fetch_measure_levels(s[0].measure_id, dt=datetime.timedelta(days=dt))
# print(dates, levels)
plot_water_level_with_fit(s[0], dates, levels, 4)
def run():
# Build list of stations
stations = build_station_list()
# Update latest level data for all stations
update_water_levels(stations)
# Print station and latest level for first 5 stations in list
names = ['Bourton Dickler', 'Surfleet Sluice', 'Gaw Bridge',
'Hemingford','Swindon']
for station in stations:
if station.name in names:
print("Station name and current level: {}, {}".format(station.name,
station.latest_level))
def test_update_level():
"""Test update to latest water level"""
# Build list of stations
stations = build_station_list()
for station in stations:
assert station.latest_level == None
# Update latest level data for all stations
update_water_levels(stations)
counter = 0
for station in stations:
if station.latest_level is not None:
counter += 1
assert counter > 0
def run():
stations = build_station_list()
update_water_levels(stations)
output = analysis_station(stations, "severe")
print(output)
def run():
stations = build_station_list()
update_water_levels(stations)
dangerous_stations = station_level_over_threshold(stations,0.8)
print (list(map(lambda s: [s[0].name, s[1]], dangerous_stations)))