熊猫：将Yfinance字典转换为数据框，但该行为空

问题描述

我有这样的Yfinance字典：

{'zip'：'94404'， 'sector'：'Healthcare'， 'fullTimeEmployees'：11800， 'circulatingSupply'：无， 'startDate'：无， 'regularMarketDayLow'：67.99， 'priceHint'：2 'currency'：'USD'}

我想将其转换为DataFrame，但是输出没有Row的信息：

Jupyter Notebook视图：

解决方法

# Data returned back by yfinance
stock = yf.Ticker('AAPL')

# Store stock info as dictionary
stock_dict = stock.info

# Create DataFrame from non-compatible dictionary
stock_df = pd.DataFrame(list(stock_dict.items()))


    0   1
0   zip 95014
1   sector  Technology
2   fullTimeEmployees   137000
3   longBusinessSummary Apple Inc. designs,manufactures,and markets ...
4   city    Cupertino
5   phone   [phone]
6   country United States
7   companyOfficers []
8   website http://www.apple.com
9   maxAge  1
10  address1    One Apple Park Way

,

Data = {'zip': '94404','sector': 'Healthcare','fullTimeEmployees': 11800,'circulatingSupply': None,'startDate': None,'regularMarketDayLow': 67.99,'priceHint': 2,'currency': 'USD'}

字典变量周围的三括号：

df = pd.DataFrame([Data])
df

结果：

     zip    sector   fullTimeEmployees  circulatingSupply   startDate   regularMarketDayLow priceHint   currency
0   94404   Healthcare  11800               None              None          67.99              2         USD