cinguva

list_of_points = [1, 4, 3, 2, 5]

N = len(list_of_points)  # ROWS
M = len(list_of_points)  # COLUMNS

matrix = [[None for i in range(N)] for j in range(M)]

target_value = [[1, 4, 3, 2, 5], [4, 16, 12, 8, 20], [3, 12, 9, 6, 15], [2, 8, 6, 2, 4, 10], [5, 20, 15, 10, 25]]

for i in range(len(matrix)):

cinguva

import requests
import json

# GLOBAL CONSTANTS
headers = {
    'Content-type': 'application/json'
}
BASE_URL = 'https://<BASE_URL>/rest/api/2/'

# Function that filters out the priorityscheme id from Target Priority Scheme Name

cinguva

from jira import JIRA
import requests
from requests.auth import HTTPBasicAuth
from atlassian import Jira
import json
username = '<username>'
LU_ATL_TOKEN = '<token>'

headers = {
    'Content-type' : 'application/json'

cinguva

# This script will require user Email, username and fed id

from requests import Session
from requests.auth import HTTPBasicAuth
from zeep import Client
from zeep.transports import Transport
import zeep
import credentials

wsdl = 'https://api.five9.com/wsadmin/v11/AdminWebService?wsdl'

cinguva

import pandas as pd
import requests
import credentials
import re, json
import emails
from json2html import *
from datetime import datetime

today = datetime.now().date().strftime("%x")

cinguva

import requests
import json
import credentials
from jira import  JIRA
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

JIRA_SERVER = 'https://jira.<tenant>.com'
jira = JIRA(JIRA_SERVER, basic_auth=(credentials.jira_user, credentials.jira_pwd))

cinguva

from __future__ import print_function

import gspread
import json
import pandas as pd
import requests
from oauth2client.service_account import ServiceAccountCredentials
from requests.packages.urllib3.exceptions import InsecureRequestWarning

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

cinguva

# In release datacompy 0.70 we will have a formatted report
import pandas as pd
import csv
import numpy as np
import datacompy


df1 = pd.read_csv('/Users/cinguva/Downloads/HR Reports/hr_report_25.csv', encoding='iso-8859-1')
df2 = pd.read_csv('/Users/cinguva/Downloads/HR Reports/hr_report_28.csv', encoding='iso-8859-1')

cinguva

import pandas as pd
from pandas import ExcelFile, ExcelWriter
import csv
import requests
import credentials

# Global Variables

appId = '0oam7lkaan7oOodiQ0x7'
api_token = credentials.okta_GH_token

cinguva

import csv
import pandas as pd

df = pd.read_csv('/Users/chanderinguva/Documents/rsvp.csv', encoding='ISO-8859-1')

df_login = df['Guest']
rsvpyeslist=[]
for row in df_login:
    row = str(row)
    if '<' in row: