抓取当前股票价格并创建数据框

Question

我有一个名为 Symbols 的 Pandas 列表，其中包含 30 个股票代码，例如 Apple ->> AAPL，我想获取每个代码的当前股票价格并使用此信息填充数据框。两列：第一列带有股票代码，第二列带有当前价格。运行这部分脚本时，我继续收到以下错误消息：

“ValueError：如果使用所有标量值，则必须传递一个索引”

Stock = []
Price = []
df_temp = []

for symbol in Symbols:
    try:
        params = {
        'symbols': symbol,
        'range': '1d',
        'interval': '1d',
        'indicators': 'close',
        'includeTimestamps': 'false',
        'includePrePost': 'false',
        'corsDomain': 'finance.yahoo.com',
        '.tsrc': 'finance'}

        url = 'https://query1.finance.yahoo.com/v7/finance/spark'

        r = requests.get(url, params=params)
        data = r.json()
                
        df_stock = pd.DataFrame({'Ticker' : symbol,
                                'Current Price' : data['spark']['result'][0]['response'][0]['indicators']['quote'][0]['close'][0]
                                })
        
        df_temp.append(df_stock)
        df_temp = pd.concat(df_temp, axis = 1)
    except KeyError:
        continue

Answer 1

只需要改变一个部分-

df_stock = pd.DataFrame({'Ticker' : [symbol],
                                'Current Price' : [data['spark']['result'][0]['response'][0]['indicators']['quote'][0]['close'][0]]
                                })

输出

    Ticker  Current Price
0   AAPL        118.119

完整代码

Stock = []
Price = []
df_temp = pd.DataFrame()

for symbol in ['AAPL', 'IBM', 'NKE', 'FB']:
    try:
        params = {
        'symbols': symbol,
        'range': '1d',
        'interval': '1d',
        'indicators': 'close',
        'includeTimestamps': 'false',
        'includePrePost': 'false',
        'corsDomain': 'finance.yahoo.com',
        '.tsrc': 'finance'}

        url = 'https://query1.finance.yahoo.com/v7/finance/spark'

        r = requests.get(url, params=params)
        data = r.json()
                
        df_stock = pd.DataFrame({'Ticker' : [symbol],
                                'Current Price' : [data['spark']['result'][0]['response'][0]['indicators']['quote'][0]['close'][0]]
                                })
        
        df_temp = df_temp.append(df_stock)
    except KeyError:
        continue

说明

您作为值传递给 df_stock 的是标量值，包裹在列表中即可解决。