def dashboard_data_card3(self, student_id: int):
transaction_mgr = TransactionalManager()
db_conn = transaction_mgr.GetDatabaseConnection("READWRITE")
attendance_dao = AttendanceDao(db_conn)
card3_data_absent_days = attendance_dao.dashboard_card3_absent_days(
student_id)
for absent_days_record in card3_data_absent_days:
absent_days_record['attendance_date'] = absent_days_record[
'attendance_date'].strftime('%Y-%m-%d')
card3_data_late_days = attendance_dao.dashboard_card3_late_days(
student_id)
for late_days_record in card3_data_late_days:
late_days_record['attendance_date'] = late_days_record[
'attendance_date'].strftime('%Y-%m-%d')
holiday_list = []
for ptr in holidays.India(years=2020).items():
holiday_list.append(ptr[0].strftime('%Y-%m-%d'))
card3_data_holidays = holiday_list
card3_data = {
"absent_days": card3_data_absent_days,
"late_days": card3_data_late_days,
"holidays": card3_data_holidays
}
return card3_data
def formatday(self, day, i):
hol = holidays.India(years=self.year)
d = ''
hol = hol.get(
str(self.month) + '-' + str(day) + '-' +
str(self.year), '') if day != 0 else ''
if hol and day != 0:
return f"<td class='date-hol'><span class='date'>{day}{hol}</span></td>"
if day != 0 and (i != 5 and i != 6):
return f"<td ><a href='?month={self.year}-{self.month}&date={day}'><span class='date'>{day}</span></a></td>"
elif day != 0:
return f"<td class='date-weekend'><span >{day}</span></td>"
return f"<td class='date-empty'></td>"
def color_leave(self):
import pandas as pd
import holidays
import datetime
DF = pd.read_excel('leave.xlsx')
DF2 = DF[DF['EmpID'] == int(self.emp_id)]
L1 = list(DF2['Leave_Date'])
L2 = []
var = datetime.datetime.now()
var1 = var.strftime('%Y')
for ptr in holidays.India(years=int(var1)).items():
L2.append(ptr[0].strftime('%d-%m-%Y'))
return L1, L2 #first list in tuple will be Employee Holidays(green) and second one is National Holidays(RED)
def dateinsert(final_result):
print(final_result)
x = datetime.date.today()
holiday = holidays.India()
cnt = 0
lst = []
for i in range(1, 18):
x += datetime.timedelta(days=1)
if x.weekday() < 5 and x not in holiday:
cnt = cnt + 1
lst.append(str(x))
print(str(x))
if cnt > 4:
break
print(lst)
final_result.insert(0, "Date", lst, True)
return final_result
def journey(df):
df_temp = df.copy(deep=True)
india_holidays = holidays.India()
df_temp[['Date_of_Journey']] = pd.to_datetime(df_temp['Date_of_Journey'])
df_temp['Holiday'] = (
df_temp['Date_of_Journey'].isin(india_holidays)).astype(int)
if len(list(df_temp['Holiday'].unique())) < 2:
df_temp = dropper(df_temp, 'Holiday')
print('There are no Holidays!!!')
df_temp['Journey Date'] = df_temp['Date_of_Journey'].dt.day
df_temp['Journey Month'] = df_temp['Date_of_Journey'].dt.month
# df_temp['Journey Year']=df_temp['Date_of_Journey'].dt.year
df_temp['Journey Day'] = df_temp['Date_of_Journey'].dt.dayofweek
df_temp['Journey Weekend'] = np.where(
((df_temp['Date_of_Journey']).dt.dayofweek) > 5, 1, 0)
df_temp['Journey Week'] = df_temp['Date_of_Journey'].dt.week
# display(df_temp.head())
return df_temp
def judge_local_holiday(self, df):
country = df['geoNetwork_country']
date = df['visitId'].apply(lambda x: x.date())
judge_holiday = \
np.where(country.isin(
['United States','India','Canada','Germany',
'Japan','France','Mexico','Australia',
'Spain','Netherlands','Italy','Ireland',
'Sweden','Argentina','Colombia','Belgium',
'Switzerland','Czechia','Colombia','Belgium',
'New Zealand','South Africa','South Africa']),\
np.where((country=='United States')&
(date.isin(holidays.US())),1,
np.where((country=='India')&
(date.isin(holidays.India())),1,
np.where((country=='Canada')&
(date.isin(holidays.CA())),1,
np.where((country=='Germany')&
(date.isin(holidays.DE())),1,\
np.where((country=='Japan')&
(date.isin(holidays.JP())),1,
np.where((country=='France')&
(date.isin(holidays.FRA())),1,
np.where((country=='Mexico')&
(date.isin(holidays.MX())),1,
np.where((country=='Australia')&
(date.isin(holidays.AU())),1,\
np.where((country=='Spain')&
(date.isin(holidays.ES())),1,
np.where((country=='Netherlands')&
(date.isin(holidays.NL())),1,
np.where((country=='Italy')&
(date.isin(holidays.IT())),1,
np.where((country=='Ireland')&
(date.isin(holidays.IE())),1,\
np.where((country=='Sweden')&
(date.isin(holidays.SE())),1,
np.where((country=='Argentina')&
(date.isin(holidays.AR())),1,
np.where((country=='Colombia')&
(date.isin(holidays.CO())),1,
np.where((country=='Belgium')&
(date.isin(holidays.BE())),1,\
np.where((country=='Switzerland')&
(date.isin(holidays.CH())),1,
np.where((country=='Czechia')&
(date.isin(holidays.CZ())),1,
np.where((country=='Denmark')&
(date.isin(holidays.DK())),1,
np.where((country=='Austria')&
(date.isin(holidays.AT())),1,\
np.where((country=='Hungary')&
(date.isin(holidays.HU())),1,
np.where((country=='Portugal')&
(date.isin(holidays.PT())),1,
np.where((country=='Norway')&
(date.isin(holidays.NO())),1,
np.where((country=='Portugal')&
(date.isin(holidays.PT())),1,\
np.where((country=='New Zealand')&
(date.isin(holidays.NZ())),1,
np.where((country=='South Africa')&
(date.isin(holidays.ZA())),1,
np.where((country=='South Africa')&
(date.isin(holidays.ZA())),1,\
0))))))))))))))))))))))))))),np.nan).astype(int)
return judge_holiday
"""
Created on Sun Sep 29 16:23:15 2019
@author: hrudat
"""
import requests, zipfile, os, io,glob, pandas as pd
from datetime import datetime,timedelta,date
import holidays
import pandas as pd
import xlrd as xld
# Code to check public holiday in this case it's India You can extract data for other countries
FD = date.today()
India_holidays = holidays.India()
if FD in India_holidays:
yesterday = datetime.now() - timedelta(days=1)
else:
yesterday = datetime.now()
# File Download code
mydate = datetime.now()
mth=mydate.strftime("%b")
ustr=str(mth)
Y = str(yesterday.year)
D = str(yesterday.day)
M = ustr.upper()
D1 = yesterday.day
def isHoliday(self, date):
india_holidays = holidays.India(years=datetime.datetime.now().year)
return (date in india_holidays)
lan = takeCommand()
translator = Translator(to_lang=lan)
t = translator.translate(d)
print(t)
speak(t)
elif 'linear equation' in query.lower():
speak("what is the equation?")
equation = input("Enter the equation: ")
m = GEKKO()
x = m.Var()
y = m.Var()
m.Equation(equation)
m.solve(disp=False)
print(x.value, y.value)
elif 'holidays' in query.lower():
india = holidays.India(years=2020).items()
if datetime.datetime.now() in india:
speak('Sir it is holiday')
else:
speak('Sir we do not have a holiday ')
elif 'change voice' in query.lower():
engine.setProperty('voice', voices[1].id)
speak('Hello sir')
elif 'meeting' in query.lower():
x = 978
y = 506
def sign_in(meeting_id, paswd):
os.startfile('C:/Users/Jay/AppData/Roaming/Zoom/bin/Zoom')
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 2 20:28:38 2019
@author: 91998
"""
import numpy as np
import pandas as pd
import holidays
holiday_list = holidays.India(years=2016)
train_data = pd.read_csv(r"D:\Narendra\Hitachi data Engineer Challenge\DataSet/train.csv")
test_data = pd.read_csv(r"D:\Narendra\Hitachi data Engineer Challenge\DataSet/test.csv")
print(train_data.shape, test_data.shape)
print(train_data.columns, test_data.columns)
train_data['current_date'] = pd.to_datetime(train_data['current_date'])
train_data['current_time'] = pd.to_datetime(train_data['current_time'])
train_data['hour'] = train_data['current_time'].dt.hour
train_data['current_month'] = train_data['current_date'].dt.month.astype(int)
test_data['current_date'] = pd.to_datetime(test_data['current_date'])
test_data['current_time'] = pd.to_datetime(test_data['current_time'])
test_data['hour'] = test_data['current_time'].dt.hour
test_data['current_month'] = test_data['current_date'].dt.month.astype(int)
#weather_train_csv['Season'] =
def get_season(month, day):
if month in (1, 2, 3):
__ __ ____
___ ____/ /___ ______/ /_/ __ \\__ __
/ _ \\/ __ / __ `/ ___/ __/ /_/ / / / /
/ __/ /_/ / /_/ / / / /_/ ____/ /_/ /
\\___/\\__,_/\\__,_/_/ \\__/_/ \\__, /
/____/
'''
Notify.heading(HEADING)
##############################################################
# set time zone
TZ = pytz.timezone('Asia/Calcutta')
# set holidays
INDIA_HOLIDAYS = holidays.India()
# set market open time
OPEN_TIME = datetime.time(hour=9, minute=15, second=0)
# set market close time
CLOSE_TIME = datetime.time(hour=15, minute=30, second=0)
##############################################################
# only those stocks will be considered whose price is above threshold
PENNY_STOCK_THRESHOLD = 50
# number of stocks to select relevant ones from
NUM_OF_STOCKS_TO_SEARCH = 100
# number of stocks to focus trading on
NUM_OF_STOCKS_TO_FOCUS = 5
# percentage buffer to be set for stop loss/trade exit
BUFFER_PERCENT = 0.06
