def filter_Mexico_holidays(df, nextday):
'''
:Arguments:
df: dataframe
:Nextday:
datetime format
:Return:
List of filtered dates using US calender
'''
import holidays
#holidays in Mexico
us_holidays = holidays.Mexico()
hol_dates = []
dat_frac = list((pd.bdate_range(pd.to_datetime(df_OHLC.index[-1]),
next_day)).date)
#iterate using date index
for ii in range(len(dat_frac)):
print(dat_frac[ii])
if isinstance(us_holidays.get(dat_frac[ii]), str):
hol_dates.append(dat_frac[ii])
if hol_dates == []:
print('No holidays')
else:
for ii in hol_dates:
print('Holiday present on {}'.format(ii))
dat_frac = sorted(
[x for x in set(dat_frac).difference(set(hol_dates))])[1:]
return (dat_frac, hol_dates)
# we will consider that the mothers day affects 5 days before. Because it is during the
# week that people buy the presents for the mother's day
number_of_days_after_black_friday = 3
number_of_days_before_dia_de_la_madre = 5
#Create list of dates with a 1 day step
datelist = pd.date_range(datetime(Starting_Year, 1, 1),
datetime(Last_Year, 1, 1)).strftime('%Y-%m-%d')
#create df from where we will write
holidays_table_df = pd.DataFrame({'ds': datelist})
#load calendars
holidays_Spain_library = holidays.Spain()
holidays_Portugal_library = holidays.Portugal()
holidays_Mexico_library = holidays.Mexico()
holidays_France_library = holidays.France()
""" Add Black Friday and Dia de la Madre """
# compute the days to add
# ----- Black Friday-----
# We predict the 4th Thursday of November which is THanksGiving
# And then we add 1 day.
# IMPORTANT! Predicting the 4th Friday Would be Different!
# 4th friday is between the 22 and 28 inclusive
# Day after 4th Thursday is between the 23 and 29 inclusive
# We consider the Weekend and cyberMonday also as
# importan (upper_window = 3)
black_friday_list = []
### STATIC VARIABLES today = date.today() australia_holidays = holidays.Australia() austria_holidays = holidays.Austria() canada_holidays = holidays.Canada() colombia_holidays = holidays.Colombia() czech_holidays = holidays.Czech() denmark_holidays = holidays.Denmark() england_holidays = holidays.England() europeancentralbank_holidays = holidays.EuropeanCentralBank() germany_holidays = holidays.Germany() ireland_holidays = holidays.Ireland() mexico_holidays = holidays.Mexico() netherlands_holidays = holidays.Netherlands() newzealand_holidays = holidays.NewZealand() northernireland_holidays = holidays.NorthernIreland() norway_holidays = holidays.Norway() portugal_holidays = holidays.Portugal() portugalext_holidays = holidays.PortugalExt() scotland_holidays = holidays.Scotland() spain_holidays = holidays.Spain() unitedkingdom_holidays = holidays.UnitedKingdom() unitedstates_holidays = holidays.UnitedStates() wales_holidays = holidays.Wales() def isDateHoliday(date, countryHolidays): return date in country
images = getImages(imagesPath)
if len(images) > 0:
for image in images:
if (os.path.exists(image)): os.remove(image)
#Set Browser Config
ch_options = getPrefs()
drive = None
#Set API variables
current_weather = Weather()
response = {}
API_KEY, CITY = API.getAPIdata()
#Search for Today's Events
mx_holidays = holidays.Mexico()
today = str(datetime.datetime.today()).split()[0]
today_holiday = mx_holidays.get(today)
if (today_holiday): #If event exists
search = today_holiday
search.replace(' ', '-')
else: #Otherwise get the current weather
mainPage = ''
req = requests.get(
"http://api.openweathermap.org/data/2.5/weather?q={}&appid={}".format(
CITY, API_KEY))
response = json.loads(req.content)
current_weather.main = response["weather"][0]["description"]
current_weather.main.replace(' ', '-')
search = current_weather.main