pycharm用户菜单中的MVC架构修改并显示数据集

Question

首先尝试让我的菜单与功能一起使用，然后将结构重新格式化为 MVC。由于某种原因，我的菜单正在打印，但是我的 if option==1 中的打印不打印，我不确定为什么它们不起作用，因为菜单打印正常。我确实知道我错过了一些东西，但是在我看来，这些打印语句应该有效，我只是对从这里去哪里感到困惑。我现在要重新格式化整个内容并重新开始吗？我对 python 是全新的，使用 pandas 对我来说是第一次，任何提示技巧或好的信息都将非常感激，因为我被困住了，这很快就会到期。菜单的功能是我对架构的主要关注点。

代码的第一部分只是使用 pandas df 读取并输出 csv 文件（100 行）。

主班

import pandas as pd
import os

import View

'''variables to declare basic values such as name, filepath'''

csv_filepath = "C:/Users/Liam/PycharmProjects/assignment1/pipeline-incidents-comprehensive-data.csv"
Fname = "Liam Arscott"

'''Data frame reads the csv file using pandas, ensure utf-8 encoding'''

try:
    df = pd.read_csv(csv_filepath, encoding="utf-8")

except:
    '''written exception for if the file does not load'''
    print("file did not load or could not be located")

'''create list '''
C_list = []
for ind in df.index:
    '''index the df and append to the list'''
    col = (df['Incident Number'][ind], df['Incident Types'][ind], df['Reported Date'][ind],
           df['Nearest Populated Centre'][ind], df['Province'][ind], df['Company'][ind],
           df['Substance'][ind], df['Significant'][ind], df['What happened category'][ind])
    C_list.append(col)
    print(col)
    '''Create break statement once the for loop has gone over 100 times'''
    if ind == 99:
        break

class Menu:
    print("MENU")
    print("  1. Reload the data from the dataset")
    print("  2. Write dataset to new csv file")
    print("  3. Display 1 or many records")
    print("  4. Create a new record ")
    print("  5. Edit an existing record")
    print("  6. Delete an existing record")
    print("  7. Display all records")
    option = input("which menu option would you like?")

    if option == 1:
        print("refreshing data")
        print("data has been refreshed")

    if option == 2:
        with open("pipeline-incidents-comprehensive-data.csv", "r") as ffile, open("secfile.txt", "a") as secfile:
            for line in ffile:
                secfile.write(line)
        print(" dataset has been loaded to new file ")