def weather_update(self):
three_day_flights = self.schedule[
self.schedule['Arrival datatime'] -
Timestamp.today() < Timedelta('3 days')]
three_day_flights = three_day_flights[
three_day_flights['Departure datatime'] -
Timestamp.today() > Timedelta('3:00:00')].index
for i in three_day_flights:
# print('%2d from %d, event_list: %d' %(i, len(three_day_flights), len(self.event_list)), end='\r')
flight = self.schedule.loc[i]
for stuff in ['Departure ', 'Arrival ']:
forecast = self.forecasts[flight[stuff + 'port']]
weather = forecast.get_weather_at(flight[stuff + 'datatime'])
snow = weather.get_snow().get('3h', 0)
if snow > 3: # Attention! Magic numbers!
e = self.create_event(flight[stuff + 'port'],
flight[stuff + 'datatime'], 'snow',
snow)
print('new snow event ', snow, ' ',
len(e.flights_affected), ' ', e.datetime_happened)
wind = weather.get_wind().get('speed', 0)
if wind > 7: # Attention! Magic numbers!
e = self.create_event(flight[stuff + 'port'],
flight[stuff + 'datatime'],
'strong wind', wind)
print('new wind event ', wind, ' ',
len(e.flights_affected), ' ', e.datetime_happened)
def test_datetimeindex():
idx1 = pd.DatetimeIndex(
["2013-04-01 9:00", "2013-04-02 9:00", "2013-04-03 9:00"] * 2,
tz="Asia/Tokyo")
idx2 = date_range("2010/01/01", periods=6, freq="M", tz="US/Eastern")
idx = MultiIndex.from_arrays([idx1, idx2])
expected1 = pd.DatetimeIndex(
["2013-04-01 9:00", "2013-04-02 9:00", "2013-04-03 9:00"],
tz="Asia/Tokyo")
tm.assert_index_equal(idx.levels[0], expected1)
tm.assert_index_equal(idx.levels[1], idx2)
# from datetime combos
# GH 7888
date1 = np.datetime64("today")
date2 = datetime.today()
date3 = Timestamp.today()
for d1, d2 in itertools.product([date1, date2, date3],
[date1, date2, date3]):
index = MultiIndex.from_product([[d1], [d2]])
assert isinstance(index.levels[0], pd.DatetimeIndex)
assert isinstance(index.levels[1], pd.DatetimeIndex)
# but NOT date objects, matching Index behavior
date4 = date.today()
index = MultiIndex.from_product([[date4], [date2]])
assert not isinstance(index.levels[0], pd.DatetimeIndex)
assert isinstance(index.levels[1], pd.DatetimeIndex)
def create_event(self, port, time, type, value):
e = Event(
Mention(airport_id=port,
type='snow',
datetime_reported=Timestamp.today(),
datetime_happened=time,
raw_description=value))
self.add_event(e, time_area='01:00:00')
return e
def actualizer(self, sch, after_date=None):
if after_date is None:
after_date = Timestamp.today()
return sch[sch['Arrival datatime'] > after_date]