（Python）當試圖從.CSV中提取數據時列出索引超出範圍？

Question

這個程序翻出兩個.CSV文件，這些文件在此鏈接的數據： https://drive.google.com/folderview?id=0B1SjPejhqNU-bVkzYlVHM2oxdGs&usp=sharing

它應該尋找在每兩個文件中的一個逗號後什麼，但我的邏輯範圍是有點不對。我運行回溯誤差線101：

「線101，在calc_corr：sum_smokers_value = sum_smokers_value +浮動（s_percent_smokers_data [R] [1]） IndexError：列表索引超出範圍」

我假設它會在其他時間執行相同的操作[k] [1]。

非常感謝提前，如果有辦法解決這個問題。

方案至今：

# this program opens two files containing data and runs a corralation calculation 

import math 

def main(): 


    try: 
     print('does smoking directly lead to lung cancer?') 
     print('''let's find out, shall we?''''') 
     print('to do so, this program will find correlation between the instances of smokers, and the number of people with lung cancer.') 

     percent_smokers, percent_cancer = retrieve_csv() 

     s_percent_smokers_data, c_percent_cancer_data = read_csv(percent_smokers, percent_cancer) 

     correlation = calc_corr(s_percent_smokers_data, c_percent_cancer_data,) 

     print('r_value =', corretation) 

    except IOError as e: 
     print(str(e)) 
     print('this program has been cancelled. run it again.') 



def retrieve_csv(): 
    num_times_failed = 0 
    percent_smokers_opened = False 
    percent_cancer_opened = False 



    while((not percent_smokers_opened) or (not percent_cancer_opened)) and (num_times_failed < 5): 

     try: 

      if not percent_smokers_opened: 
       percent_smokers_input = input('what is the name of the file containing the percentage of smokers per state?') 
       percent_smokers = open(percent_smokers_input, 'r') 
       percent_smokers_opened = True 

      if not percent_cancer_opened: 
       percent_cancer_input = input('what is the name of the file containing the number of cases of lung cancer contracted?') 
       percent_cancer = open(percent_cancer_input, 'r') 
       percent_cancer_opened = True 

     except IOError: 
      print('a file was not located. try again.') 
      num_times_failed = num_times_failed + 1 

    if not percent_smokers_opened or not percent_cancer_opened: 
     raise IOError('you have failed too many times.') 

    else: 
     return(percent_smokers, percent_cancer) 



def read_csv(percent_smokers, percent_cancer): 
    s_percent_smokers_data = [] 
    c_percent_cancer_data = [] 

    empty_list = '' 


    percent_smokers.readline() 
    percent_cancer.readline() 
    eof = False 

    while not eof: 
     smoker_list = percent_smokers.readline() 
     cancer_list = percent_cancer.readline() 

     if smoker_list == empty_list and cancer_list == empty_list: 
      eof = True 

     elif smoker_list == empty_list: 
      raise IOError('smokers file error') 

     elif cancer_list == empty_list: 
      raise IOError('cancer file error') 


     else: 
      s_percent_smokers_data.append(smoker_list.strip().split(',')) 
      c_percent_cancer_data.append(cancer_list.strip().split(',')) 


    return (s_percent_smokers_data, c_percent_cancer_data) 


def calc_corr(s_percent_smokers_data, c_percent_cancer_data): 

    sum_smokers_value = sum_cancer_cases_values = 0 
    sum_smokers_sq = sum_cancer_cases_sq = 0 
    sum_value_porducts = 0 
    numbers = len(s_percent_smokers_data) 

    for k in range(0, numbers): 
     sum_smokers_value = sum_smokers_value + float(s_percent_smokers_data[k][1]) 
     sum_cancer_cases_values = sum_cancer_cases_values + float(c_percent_cancer_data[k][1]) 

     sum_smokers_sq = sum_smokers_sq + float(s_percent_smokers_data[k][1]) ** 2 
     sum_cancer_cases_sq = sum_cancer_cases_sq + float(c_percent_cancer_data[k][1]) ** 2 

     sum_value_products = sum_value_products + float(percent_smokers[k][1]) ** float(percent_cancer[k][1]) 

    numerator_value = (numbers * sum_value_products) - (sum_smokers_value * sum_cancer_cases_values) 
    denominator_value = math.sqrt(abs((numbers * sum_smokers_sq) - (sum_smokers_value ** 2)) * ((numbers * sum_cancer_cases_sq) - (sum_cancer_cases_values ** 2))) 



    return numerator_value/denominator_value 


main() 

Answer 1

數據文件的每一行中的值不會被逗號分隔，而是製表符分隔。您需要更改','分隔字符'\t'。或者使用csv模塊，並告訴它你的分隔符是'\t'。您可以在the documentation中閱讀關於csv模塊的更多信息。