读取股票数据时出错：“DatetimeProperties”对象没有属性“weekday_name”，“NoneType”对象没有属性“to_csv”

Posted 2023-03-11

【中文标题】读取股票数据时出错：“DatetimeProperties”对象没有属性“weekday_name”，“NoneType”对象没有属性“to_csv”

【英文标题】：Error in reading stock data : 'DatetimeProperties' object has no attribute 'weekday_name' and 'NoneType' object has no attribute 'to_csv'

【发布时间】：2020-05-29 12:53:17

【问题描述】：

我尝试运行代码来获取股票数据，但它失败了，显示以下错误：

'DatetimeProperties' 对象没有属性 'weekday_name' 'NoneType' 对象没有属性 'to_csv'

from pandas_datareader import data as web
import os
import pandas as pd
from pandas.testing import assert_frame_equal

def get_stock(ticker, start_date, end_date, s_window, l_window):
    try:
        df = web.get_data_yahoo(ticker, start=start_date, end=end_date)
        df['Return'] = df['Adj Close'].pct_change()
        df['Return'].fillna(0, inplace = True)
        df['Date'] = df.index
        df['Date'] = pd.to_datetime(df['Date'])
        df['Month'] = df['Date'].dt.month
        df['Year'] = df['Date'].dt.year 
        df['Day'] = df['Date'].dt.day
        for col in ['Open', 'High', 'Low', 'Close', 'Adj Close']:
            df[col] = df[col].round(2)
        df['Weekday'] = df['Date'].dt.weekday_name  
        df['Week_Number'] = df['Date'].dt.strftime('%U')
        df['Year_Week'] = df['Date'].dt.strftime('%Y-%U')
        df['Short_MA'] = df['Adj Close'].rolling(window=s_window, min_periods=1).mean()
        df['Long_MA'] = df['Adj Close'].rolling(window=l_window, min_periods=1).mean()        
        col_list = ['Date', 'Year', 'Month', 'Day', 'Weekday', 
                    'Week_Number', 'Year_Week', 'Open', 
                    'High', 'Low', 'Close', 'Volume', 'Adj Close',
                    'Return', 'Short_MA', 'Long_MA']
        num_lines = len(df)
        df = df[col_list]
        print('read ', num_lines, ' lines of data for ticker: ' , ticker)
        return df
    except Exception as error:
        print(error)
        return None

try:
    ticker='MSFT'
    input_dir = r'/Users/sirishpulijala/Desktop'
    output_file = os.path.join(input_dir, ticker + '.csv')
    df = get_stock(ticker, start_date='2014-01-01', end_date='2019-12-31', 
               s_window=14, l_window=50)
    df.to_csv(output_file, index=False)
    print('wrote ' + str(len(df)) + ' lines to file: ' + output_file)
except Exception as e:
    print(e)
    print('failed to get Yahoo stock data for ticker: ', ticker)

【参考方案1】：

您的问题是以下行：

df['Weekday'] = df['Date'].dt.weekday_name

改成：

df['Weekday'] = df['Date'].dt.day_name()

你可以走了。

【参考方案2】：

我们可以使用 df['Weekday'] = df['Date'].dt.strftime("%A") 这将给出工作日名称

更多格式选项包括：

%A - 完整的工作日名称，例如 MONDAY、TUESDAY 等%w - 工作日为十进制数字，例如 1、2、3 等%a - 缩写的工作日名称，例如 SUN、MON 等%Y -year%m -month%d -day%H -hours%M -minutes%S -seconds