Anfügen leeren Datenrahmen und Listenindex außerhalb des zulässigen Bereichs Fehler

Question

The Line 2:13 is the existing data format which I want it in the format as dispalyed in line 16:19

Der Kodex ich geschrieben habe, ist

import xlrd 
import pandas as pd 

book = xlrd.open_workbook(
    "C:/Users/Vinod/Desktop/DataSet Mining/python-pandas.xlsx") 
sheet = book.sheet_by_name('Sheet1') 

df1 = pd.DataFrame() 

n = sheet.nrows 
print(n) 
n2 = sheet.ncols 
print(n2) 

for row_index in range(0, n): 
    for col_index in range(0, n2): 

     col = sheet.cell(row_index, col_index).value 
     df = pd.DataFrame() 
     l1 = [] 
     l2 = [] 
     l3 = [] 
     l4 = [] 
     l5 = [] 
     l6 = [] 
     if (col == "Entity Name:"): 
      EntityName = sheet.cell(row_index, col_index + 1).value 

     if (col == "Counterparty Name:"): 
      CounterpartyName = sheet.cell(row_index, col_index + 1).value 
     if (col == "TradeRef"): 
      row_index = row_index + 1 
      value_1 = sheet.cell(row_index, col_index).value 

      while (value_1 != ""): 

       TradeRef = sheet.cell(row_index, col_index).value 

       TradeDate = sheet.cell(row_index, col_index + 1).value 

       TradeType = sheet.cell(row_index, col_index + 2).value 
       ConfirmationMedium = sheet.cell(row_index, col_index + 3).value 

       l1.append(TradeRef) 
       l2.append(TradeDate) 
       l3.append(TradeType) 
       l4.append(ConfirmationMedium) 

       row_index = row_index + 1 
       if (row_index >= n): 
        value_1 = "" 
        col_index = 4 


       else: 
        value_1 = sheet.cell(row_index, col_index).value 
        print(value_1) 

      df['TradeRef'] = l1 
      df['TradeDate'] = l2 
      df['TradeType'] = l3 
      df['ConfirmationMedium'] = l4 
      df['EntityName'] = EntityName 
      df['CoutrepartyName'] = CounterpartyName 
      print(df) 
      print(row_index) 
      print(col_index) 
      df1.append(df) 
print(df1) 

Answer 1

I got it resolved @Azat 
import xlrd 
import pandas as pd 
book = xlrd.open_workbook("C:/Users/Vinod/Desktop/DataSet Mining/python-pandas.xlsx") 
sheet = book.sheet_by_name('Sheet1') 
df1=pd.DataFrame() 
n=sheet.nrows 
n2=sheet.ncols 
for row_index in range(0,n): 
    for col_index in range(0,n2): 

     if(row_index)<n: 
      col=sheet.cell(row_index,col_index).value 
      df=pd.DataFrame() 
      l1=[] 
      l2=[] 
      l3=[] 
      l4=[] 
      l5=[] 
      l6=[] 
      if(col=="Entity Name:"): 

       EntityName=sheet.cell(row_index,col_index+1).value 


      if(col=="Counterparty Name:"): 
       CounterpartyName=sheet.cell(row_index,col_index+1).value 
      if(col=="TradeRef"): 
       row_index=row_index+1 
       value_1=sheet.cell(row_index,col_index).value 

       while(value_1!=""): 





        TradeRef=sheet.cell(row_index,col_index).value 

        TradeDate=sheet.cell(row_index,col_index+1).value 


        TradeType=sheet.cell(row_index,col_index+2).value 
        ConfirmationMedium=sheet.cell(row_index,col_index+3).value 

        l1.append(TradeRef) 
        l2.append(TradeDate) 
        l3.append(TradeType) 
        l4.append(ConfirmationMedium) 

        row_index=row_index+1 
        if(row_index>=n): 

         value_1="" 
         col_index=4 

        else: 
        value_1=sheet.cell(row_index,col_index).value 

       df['TradeRef']=l1 
       df['TradeDate']=l2 
       df['TradeType']=l3 
       df['ConfirmationMedium']=l4 
       df['EntityName']=EntityName 
       df['CoutrepartyName']=CounterpartyName 
       df1=df1.append(df) 
print(df1)