python - pandas - 如何将嵌套字典中的数据加载到数据框中？

Question

我正在尝试创建一个包含股票收盘价的数据框，并找到了一个免费的 api，它以嵌套字典的形式返回 JSON 数据，如下所示:

{'name': 'AAPL',
 'history': 
           {'2019-01-04': 
                  {'open': '144.53',
                   'close': '148.26',
                   'high': '148.55',
                   'low': '143.80',
                   'volume': '58607070'},
           '2019-01-03': 
                   {'open': '143.98',
                    'close': '142.19',
                    'high': '145.72',
                    'low': '142.00',
                    'volume': '91312195'},
          '2019-01-02': 
                  {'open': '154.89',
                   'close': '157.92',
                   'high': '158.85',
                   'low': '154.23',
                   'volume': '37039737'
}}}

由于我想要的键“关闭”嵌套在“历史”和每个特定日期中，所以我很难提取它并将其放入数据框中。

这种情况背后的方法/逻辑是什么？我曾尝试生成带有日期时间的日期列表，但没有成功。您有什么建议或读物吗？

编辑:当前代码，显然不起作用

def make_request():
    '''Makes a request to the API that returns a JSON-response '''
    r = requests.get(url)
    sample = json.loads(r.text)
    return sample


def check_keys(data):
    '''Checks the keys in the JSON-response'''
    print(data.keys())


def check_values(data):
    '''Checks the values in the JSON-respose'''
    print(data.values())


def get_values(data):
    '''Gets the date for each day in the sample and stores it in a list'''
     for v in data.get('history'):
        values = v
        return v


def get_closeprice(data, values):
    '''Uses the dates from get_values() to iterate through the sample and get the
    closing price for each date in the sample'''
    for date in values:
        data.get('history').get(values).get('close')
        return value

Answer 1

如果您只想将其加载到数据框中:

# h = your dictionary

df = pd.DataFrame.from_dict(data=h['history'],orient='index')

cols = ['close']

df = df[cols]

# Just as an aside Quandl has been very good for free financial data to me. 
#It has a paid side with premium data but I havent used it.