read data from excel using python pandas

from __future__ import print_function
import pandas as pd
import threading, paramiko, os, time
import mysql.connector
import re
import datetime as dt
from dateutil.relativedelta import relativedelta
import json
import subprocess
import sys
from collections import OrderedDict
from json import loads, dumps


xls = pd.ExcelFile("C:\Users\kmuthuk2\Desktop\stable_scripts.xlsx")

sheetX = xls.parse("Sheet1") #2 is the sheet number

print (sheetX.columns)
var1 = sheetX['Script Name']


myresult_cvs = OrderedDict()
for i in range(100,165):
    output2=""
    print (i,var1[i]) #1 is the row number...
    cmd = 'find ./  -name '+var1[i]
    connection.send_shell(cmd)
    time.sleep(10)
    output=""
    if connection.shell.recv_ready():
     
        output = connection.shell.recv(50000).decode(encoding='utf-8', errors='ignore')
        output=output.strip().replace(cmd,"")
        output=PROMPT_REGEX.sub("",output)
        output=output.strip().split("\n")
        print ("output {}".format(output))
        if (len(output)==2):
            cmd_cvslog = 'cvs log '+output[1]
            test_full_path = output[1]
        elif (len(output)==3):
            cmd_cvslog = 'cvs log '+output[2]
            test_full_path = output[2]
        else:
            cmd_cvslog = 'cvs log '+output[0]
            test_full_path = output[0]
     
        print ("i is {}".format(i))
        print ("cmd_cvslog {} ".format(cmd_cvslog))
     
        connection.send_shell(cmd_cvslog)
        time.sleep(15)
     
        if connection.shell.recv_ready():
            output2 = connection.shell.recv(50000).decode(encoding='utf-8', errors='ignore')
            output2=output2.strip().replace(cmd_cvslog,"")
            output2=PROMPT_REGEX.sub("",output2)
            #output2=output2.strip()
            print ("output2 {} ".format(output2))
            result=re.findall(CVSLOG_REGEX,output2)
       
            print('this is result')
            print(result)
         
            result = result[0]
         
            print('this is result[0]')
            print(result)
         
            date_regex = r'date:\s+([^;]+?);'
            mydate = re.findall(date_regex,result)
            print(mydate)
            myresult_cvs[test_full_path]=result
         
       
            print ("^"*25)
   
            print ("^"*25)
    #connection.shell.flush()

print ("myresult_cvs {}".format(myresult_cvs))
print ("myresult_cvs {}".format(loads(dumps(myresult_cvs))))