我才开始在 python 编码大约一个月。我可以覆盖以前解析过的数据吗？正文继续提问

Question

我编写了一个函数，可以在从雅虎金融解析后收集特定股票的信息。现在在函数的末尾，我会让用户选择搜索另一个报价或返回主页。当用户单击此选项时，程序崩溃，提示数组的长度必须相同。我假设因为从前面的引用中收集的数据已经在函数中注册，并且不会允许用户覆盖和解析。我将如何解决这个问题？请指教。

import random
import requests
import numpy as np
import pandas as pd 

def tickersymbol():
    tickersymbol = input("What company would you like information on?") 
    url = ('https://ca.finance.yahoo.com/quote/'+tickersymbol+'?p='+tickersymbol+'&.tsrc=fin-srch')
    response = requests.get(url) 
    htmltext = response.text

    for indicator in Indicators :

        splitlist = htmltext.split(indicator)
        afterfirstsplit =splitlist[1].split("\">")[2]
        aftersecondsplit = afterfirstsplit.split("</span>")
        datavalue = aftersecondsplit[0]
        Indicators[indicator].append(datavalue)

    for values in Misc:
        splitlist = htmltext.split(values)
        afterfirstsplit =splitlist[1].split("\">")[1]
        aftersecondsplit = afterfirstsplit.split("</td>")
        netset = aftersecondsplit[0]
        Misc[values].append(netset)

    Indicators.update(Misc)
    df = pd.DataFrame(Indicators)
    array = np.transpose(df)
    print(array)

    task = input('''
                 Would you like to continue? 

                 [1] : Yes, Look at another Symbol     ##Here is where the problem starts. 
                 [2] : No, Go back to main 

                   ''')

    if task == "1":
        return tickersymbol()
    elif task == "2":
        return main()
    else:
        print("Try to answer that one again")

指标=

{"Previous Close":[],"Open":[],"Bid":[],"Ask":[],'Volume':[] , 'Avg. Volume': [], 'Market Cap': [], 'Beta': [], 'PE Ratio (TTM)': [], 'EPS (TTM)': [], 'Earnings Date': [], 'Ex-Dividend Date': [], '1y Target Est' : []}

杂项 =

{'52 周范围'：[]，"Day's Range"：[]，'Dividend & Yield'：[]}

Answer 1

在软件中发现的问题是行：

tickersymbol = input("What company would you like information on?")

由于这与函数名称相同，因此当您尝试再次调用该函数时会导致错误，即

return tickersymbol()

补救，将行更改为：

tickersymbol_ = input("What company would you like information on?") 
url = ('https://ca.finance.yahoo.com/quote/'+tickersymbol_+'?p='+tickersymbol_+'&.tsrc=fin-srch')

其他修订

错误检查——使用try/except块
控制流程——使用 while 循环而不是函数调用自身
指标和杂项——内部函数，因此它们会针对处理的每只股票进行重置
main 调用 tickersymbol，完成后 returns 调用它

修改后的代码

import random
import requests
import numpy as np
import pandas as pd 

def main():
  tickersymbol()

def tickersymbol():
    while True:
      skip = False

      tickersymbol_ = input("What company would you like information on?") 
      url = ('https://ca.finance.yahoo.com/quote/'+tickersymbol_+'?p='+tickersymbol_+'&.tsrc=fin-srch')
      response = requests.get(url) 
      htmltext = response.text

      # Reset Indicator and Misc
      Indicators = {"Previous Close" : [], "Open" : [], "Bid" : [] , "Ask": [], 'Volume': [], 'Avg. Volume': [], 'Market Cap': [], 'Beta': [], 'PE Ratio (TTM)': [], 'EPS (TTM)': [], 'Earnings Date': [], 'Ex-Dividend Date': [], '1y Target Est' : []} 

      Misc = {'52 Week Range' :[], "Day&#x27;s Range": [], 'Dividend &amp; Yield' : []} 

      for indicator in Indicators :
          try:
            splitlist = htmltext.split(indicator)
            afterfirstsplit =splitlist[1].split("\">")[2]
            aftersecondsplit = afterfirstsplit.split("</span>")
            datavalue = aftersecondsplit[0]
            Indicators[indicator].append(datavalue)
          except:
            print('Error with stock')
            skip = True
            break

      if skip:
        continue     # continues with the outer while loop

      for values in Misc:
          try:
            splitlist = htmltext.split(values)
            afterfirstsplit =splitlist[1].split("\">")[1]
            aftersecondsplit = afterfirstsplit.split("</td>")
            netset = aftersecondsplit[0]
            Misc[values].append(netset)
          except:
            print('Error with stock')
            skip = True
            break

      if skip:
        continue    # continues with outer while loop

      Indicators.update(Misc)
      df = pd.DataFrame(Indicators)
      array = np.transpose(df)
      print(array)

      task = input('''
                  Would you like to continue? 

                  [1] : Yes, Look at another Symbol     ##Here is where the problem starts. 
                  [2] : No, Go back to main 

                    ''')

      if task == "1":
          continue    # continues with outer while loop
      elif task == "2":
          return      # done with tickersymbol function
      else:
          print("Try to answer that one again")

if __name__ == "__main__":
    main()

我才开始在 python 编码大约一个月。我可以覆盖以前解析过的数据吗？正文继续提问

Ive only started coding in python for about a month. Can I overwrite previously parsed data? Question continued in the body

python

finance

yahoo-finance