Question

我希望能够轻松解析我通过GET请求获得的JSON文件。我是新手，想要一些帮助。这是我从GET请求获得的JSON文件。

{
"Meta Data": {
    "1. Information": "Intraday Prices and Volumes for Digital Currency",
    "2. Digital Currency Code": "BTC",
    "3. Digital Currency Name": "Bitcoin",
    "4. Market Code": "CNY",
    "5. Market Name": "Chinese Yuan",
    "6. Interval": "5min",
    "7. Last Refreshed": "2018-05-19 15:50:00",
    "8. Time Zone": "UTC"
},
"Time Series (Digital Currency Intraday)": {
    "2018-05-19 15:50:00": {
        "1a. price (CNY)": "53014.32816681",
        "1b. price (USD)": "8311.73569032",
        "2. volume": "602.25300624",
        "3. market cap (USD)": "5005767.80656960"
    },
    "2018-05-19 15:45:00": {
        "1a. price (CNY)": "53013.58227123",
.......

我想返回我输入的任何加密硬币的最新美元价格。这是“时间序列（数字货币日内）”对象中的第一个对象。我如何在python中注明这一点？我知道怎么进入一个对象，因为我知道这个名字，但由于时间总是在变化，我怎么才进入第一个（即对象的索引）而不是名称“2018-05-19 15:50:00" 。这是我的代码与本节相关：

data = {'function' : 'DIGITAL_CURRENCY_INTRADAY', 'symbol' : 'BTC' , 'market' : 'CNY', 'apikey' : APIKey}
r = requests.get('https://www.alphavantage.co/query?',data)
data = r.json()

symbol = data['Meta Data']['2. Digital Currency Code'] #this works fine
print(symbol)
price = data['Time Series (Digital Currency Intraday)'] #how do I keep going in an say "the first index of Time Series.."?
print(price)

我知道这应该不会很难，但我已经浏览了整个互联网，并且无法对如何通过JSON文件做出明确答复。谢谢！

Answer 1

收集＆＃34;＆＃34;时间序列（数字货币日内）＆＃34;中的所有键。字典
将它们转换为日期时间对象（https://docs.python.org/3/library/datetime.html#datetime.datetime.strptime）
对它们进行排序
拿第一个

这能解决您的问题吗？

Answer 2

您可以使用data['Time Series (Digital Currency Intraday)']

遍历dict.items()的元素

dated_prices = data['Time Series (Digital Currency Intraday)']
for registered_date, prices in dated_prices.items():
    # e.g. for first iteration, "registered_date" contains "2018-05-19 15:50:00"
    usd_price = prices["1b. price (USD)"]
    print(usd_price)

如果您只想获得第一次约会：

dated_prices = data['Time Series (Digital Currency Intraday)']

# Sort dates prices from the latest to the earliest
sorted_dated_prices = sorted(dated_prices.items(), key=lambda dp: dp[0], reverse=True)

# Get the latest dated price entry
latest_dated_price = sorted_dated_prices[0]

# Get the price (ignore the date)
latest_price = latest_dated_price[1]

# Get the dollar price
usd_price = latest_price["1b. price (USD)"]
print(usd_price)

Answer 3

如果您熟悉Python的Pandas，您可以随时尝试使用pandas.read_json。这会将您的数据放入一个pandas对象中，从而使传统的munging更容易。 recent_date = df['StartDate'].max()

如何通过不知道我在Python中寻找的对象名称的JSON文件进行解析？

3 个答案: