# If the date has changed, we have to process the last day's data
if ((measure_date.day > last.day) or (measure_date.month > last.month)):
# Displays X and y depending on the temperature (Z) and humidity (colors)
#scat = ax.scatter(X, y, map(lambda x: float(get_weather(last, int(x), "temperature")), X), c = map(lambda x: 1 - float(get_weather(last, int(x), "humidex")), X))
# Displays X and y depending on the temperature (Z) and tide (colors)
scat = ax.scatter(X, y, map(lambda x: float(get_weather(last, int(x), "temperature")), X), c = map(lambda x: float(tides[str(last.year)][str(last.month)][str(last.day)][str(int(x))][int(x * 4.0) % 4]), X))
if (measure_date.month > last.month) and len(X) and 0:
plt.colorbar()
plt.figure()
X = []
y = []
if (not oh or oh.is_open(measure_date)):
# Counting the measure on the current day, in the concerned hour
X.append(float(measure_date.strftime("%H")) + float(measure_date.strftime("%M")) / 60.0)
try:
y.append(len(measure['value']))
except:
y.append(measure['value'])
before = last
last = measure_date
sys.stdout.write('\r')
sys.stdout.flush()
fig.colorbar(scat)
plt.show()
scat = ax.scatter(
X,
y,
map(lambda x: float(get_weather(last, int(x), "temperature")), X),
c=map(
lambda x: float(tides[str(last.year)][str(last.month)][str(
last.day)][str(int(x))][int(x * 4.0) % 4]), X))
if (measure_date.month > last.month) and len(X) and 0:
plt.colorbar()
plt.figure()
X = []
y = []
if (not oh or oh.is_open(measure_date)):
# Counting the measure on the current day, in the concerned hour
X.append(
float(measure_date.strftime("%H")) +
float(measure_date.strftime("%M")) / 60.0)
try:
y.append(len(measure['value']))
except:
y.append(measure['value'])
before = last
last = measure_date
sys.stdout.write('\r')
sys.stdout.flush()
hour = str(hour)
try:
return weather[id][date.year][date.month][date.day][what][hour]
except Exception as e:
return 0
################################
# AVAILABLE FEATURES
################################
adder = {}
adder["Day_of_week"] = lambda date, p: week_day[date.strftime("%a")]
adder["Holidays"] = lambda date, p: 2 + hd.is_open(date + dt.timedelta(days = int(p))) if hd.is_open(date) else hd.is_open(date + dt.timedelta(days = int(p)))
adder["Hour_of_day"] = lambda date, p: date.hour + float(date.minute) / 60.0
adder["Month"] = lambda date, p: date.month
adder["Previous"] = lambda date, p: get_prev(date, int(p))
adder["Roads"] = lambda date, p: get_roads_affluence(date, p)
adder["Simple_hour"] = lambda date, p: date.hour
adder["Simple_mins"] = lambda date, p: date.minute
adder["Tide"] = lambda date, p: tides[date.year][date.month][date.day][date.hour][int(date.minute / 15)]
adder["Weather"] = lambda date, p: get_weather(placeid, date, date.hour, p if len(p) else "weather")
################################
# PROCESSING
################################
def check_happy_hours(chaine, jour_heure):
definition = OpeningHours(chaine)
if bouchon :
return definition.is_open("fr", "19:00")
return definition.is_open(jour_heure[0], jour_heure[1])
