我在使用 Python 時遇到了一個有趣的問題

Question

我還是 Python 和 Pandas 的新手，但我在這里遇到了一些有趣的問題......當我嘗試獲取輸出時，它給了我一個非常空的 DataFrame。 這有點好笑。

import time
import pandas as pd
import numpy as np

CITY_DATA = { 'chicago': 'chicago.csv',
              'new york city': 'new_york_city.csv',
              'washington': 'washington.csv' }
months=['January','Febraury','March', 'April','May','June','all']
days=['Sunday','Monday','Tuesday','wedensday','Thrusday','Friday','Saturday','all']


print('Hello! Let\'s explore some US bikeshare data!')
def get_filters():
  
    while True:
        try:
            city =(input('Please enter the name of the city? '))
            if city in CITY_DATA:
                break
            else:
                print('This is wrong')
        except ValueError:
           print("please enter the correct value")
           
    while True:
        try:
            month=str(input('Please enter the name of Month? '))
            if month.title() in months:
                break
            else:
                print('Please enter the correct Month  ')
        except ValueError:
                print("Please don't enter a number or a special character!")
    while True:
        try:
            day=str(input('Please enter the name of day? '))    
            if day.title() in days:
                break
            else:
                print('please enter the correct day')
        except ValueError:
                print('Please enter the correct value')
    print('-'*40)
    return city, month, day
print(get_filters())

def load_data(city, month, day):

    """
    Loads data for the specified city and filters by month and day if applicable.

    Args:
        (str) city - name of the city to analyze
        (str) month - name of the month to filter by, or "all" to apply no month filter
        (str) day - name of the day of week to filter by, or "all" to apply no day filter
    Returns:
        df - Pandas DataFrame containing city data filtered by month and day
    """
    df = pd.read_csv(CITY_DATA[city])

    # convert the Start Time column to datetime
    df['Start Time'] = pd.to_datetime(df['Start Time'])

    # extract month, day of week, hour from Start Time to create new columns
    df['month'] = df['Start Time'].dt.month
    df['day']= df['Start Time'].dt.day_name
   

    # filter by month if applicable
    if month != 'all':
        # use the index of the months list to get the corresponding int
        months = ['january', 'february', 'march', 'april', 'may', 'june']
        month = months.index(month) + 1

        # filter by month to create the new dataframe
        df = df[df['month'] == month]

    # filter by day of week if applicable
    if day != 'all':
        # filter by day of week to create the new dataframe
        df = df[df['day'] == day.title()]
    return df



def main():
    while True:
        city, month, day = get_filters()
        df = load_data(city, month, day)
        print(df.head())
        
        time_stats(df)
        station_stats(df)
        trip_duration_stats(df)
        user_stats(df)

        restart = input('\nWould you like to restart? Enter yes or no.\n')
        if restart.lower() != 'yes':
            break

if __name__ == "__main__":
    main()

這輸出：

Empty DataFrame
Columns: [Unnamed: 0, Start Time, End Time, Trip Duration, Start Station, End Station, User Type, Gender, Birth Year, month, day]
Index: []

這是錯誤的，因為我根本沒有得到任何數據。

PS，請原諒我的新手編碼，我仍在學習，我正在做的大部分事情都是自學的.. 在此先感謝

Answer 1

此問題是由於以下原因導致代碼無法根據值進行過濾造成的：

df['day']= df['Start Time'].dt.day_name

它應該是這樣的：

df['day']= df['Start Time'].dt.day_name()