python pandas retrieve data from the excel

import xlrd
from xlrd import xldate_as_tuple
from datetime import datetime
import pandas as pd
from sqlalchemy import create_engine


def ordfun(zimu):
    return ord(zimu)-65
def realnum(shuzi):
    return shuzi-1

def getDate(sheet,row,column):
    cell = sheet.cell_value(realnum(row), ordfun(column))
    val = datetime(*xldate_as_tuple(cell, 0)).strftime('%Y/%m/%d')  # '%Y/%m/%d %H:%M:%S'
    return val

def nvl(input):
    if input is None or input=='':
        return 0
    else:
        return int(eval(str(input).replace('=','')))

def intoDB(df,tableName):
    = create_engine db_engine ( '+ PostgreSQL psycopg2: //' + 'gpadmin' + ':' + 'gpadmin' + '@' + STR ('10 .39.4.175 ') +' / '+' pissh ') 
    pd.io. sql.to_sql (DF, tableName, db_engine, if_exists = 'the append', index = False) 

# database connection is obtained 
DEF getEngine (): 
    db_engine create_engine = ( '+ PostgreSQL psycopg2: //' + 'gpadmin' + ':' + 'gpadmin' + '@' + str ('10 .39.4.175 ') +' / '+' pissh ') 
    return db_engine 


wb = xlrd.open_workbook (' E: // Guangdong air conditioning / PISSH total _20190730 / P1_2 times _CU1 line (a handling) 2.xlsx ') 
# empty list a statement list 
the listAll = [] 

# through all Sheet 
for I in Range (1,32): 
    Sheet = wb.sheet_by_name (STR (I)) 
    checkcellvalue = Sheet. cell (realnum (28), ordfun ( 'N '.)) Value 
    #Print (' sheetname: R & lt%, check value:% r '% (str ( i), checkcellvalue))
    if checkcellvalue is None or checkcellvalue=='':
        continue
    try:
        dict = {'cal_date': getDate(sheet,5,'C')
            , 'project_name': sheet.cell(realnum(5),ordfun('F')).value
            , 'class': sheet.cell(realnum(5),ordfun('H')).value
            , 'plan_num': sheet.cell(realnum(28),ordfun('N')).value
            , 'real_num': sheet.cell(realnum(29),ordfun('N')).value
            , 'overtime_plan_num': nvl(sheet.cell(realnum(28),ordfun('Q')).value)
            , 'overtime_real_num': nvl(sheet.cell(realnum(29),ordfun('Q')).value)}
    except:
        "从sheet生成字典出错,错误地点为：%r"% sheet.name

    listAll.append(dict)

df = pd.DataFrame(listAll)
= cols [ 'cal_date', 'class', 'project_name', 'plan_num', 'real_num', 'overtime_plan_num', 'overtime_real_num'] 
DF = df.ix [:, cols] # sequentially outputs the dataframe 

# engine obtained 
= getEngine Engine () 

allDict = df.to_dict (Orient = 'Records') 
for Row in allDict: 
    Print (tuple (row.values ())) 
    Table = ' "PAPAGZ_KPI_COMPREHENSIVE_RATE_DATA"' 
    # key acquired in a comma-separated and string, returns a string 
    Keys = ','. the Join (row.keys ()) 
    values = ','. the Join ([ '% S'] * len (Row)) 
    SQL = 'the INSERT the INTO Table {} ({} Keys) the vALUES values {} 'the format (Table = Table, Keys Keys =, = tuple values (row.values ())). 
    the try: 
        pd.io.sql.execute (SQL,Engine) 
    the except Exception AS E: 
        Print ( "exception is caught, exp =", e)