如何在 Python 中打印这个嵌套字典的日期？答案

【问题标题】：How can I print the dates of this nested dictionary in Python?如何在 Python 中打印这个嵌套字典的日期？
【发布时间】：2018-09-24 10:51:04
【问题描述】：

如何仅打印/访问“时间序列（每日）”的日期？

我尝试了以下方法，但出现关键错误：

for date in range(0,2):
    print(date)
    print(tickerData['Time Series (Daily)'][date])

这是嵌套字典：

   {
        "Meta Data": {
            "1. Information": "Daily Prices (open, high, low, close) and Volumes",
            "2. Symbol": "NASDAQ Index",
            "3. Last Refreshed": "2018-04-13",
            "4. Output Size": "Compact",
            "5. Time Zone": "US/Eastern"
        },
        "Time Series (Daily)": {
            "2018-04-13": {
                "1. open": "7179.6201",
                "2. high": "7183.6201",
                "3. low": "7078.1401",
                "4. close": "7106.6499",
                "5. volume": "1743640000"
            },
            "2018-04-12": {
                "1. open": "7112.0200",
                "2. high": "7166.0000",
                "3. low": "7105.0898",
                "4. close": "7140.2500",
                "5. volume": "2021110000"
            }}}

【问题讨论】：

标签： python-3.x dictionary nested

【解决方案1】：

您可以使用以下命令获取字典中的所有日期：

    dates = tickerdata["Time Series (Daily)"]
    for item in dates:
        print (item)

输出：

2018-04-13
2018-04-12

以下评论：

不确定这是否是您想要的，但您可以执行以下操作：

class AttributeDict(dict):
    __getattr__ = dict.__getitem__
    __setattr__ = dict.__setitem__
tickerdata = {
        "Meta Data": {
            "1. Information": "Daily Prices (open, high, low, close) and Volumes",
            "2. Symbol": "NASDAQ Index",
            "3. Last Refreshed": "2018-04-13",
            "4. Output Size": "Compact",
            "5. Time Zone": "US/Eastern"
        },
        "TimeSeriesDaily": {
            "2018-04-13": {
                "1. open": "7179.6201",
                "2. high": "7183.6201",
                "3. low": "7078.1401",
                "4. close": "7106.6499",
                "5. volume": "1743640000"
            },
            "2018-04-12": {
                "1. open": "7112.0200",
                "2. high": "7166.0000",
                "3. low": "7105.0898",
                "4. close": "7140.2500",
                "5. volume": "2021110000"
            }}}


tmp = AttributeDict(tickerdata)
for date in tmp.'TimeSeriesDaily':
    print(date)

但如果您注意到您的“时间序列（每日）”标签需要简化，我认为您可能无法控制或不想这样做。

【讨论】：

啊，这很漂亮！碰巧，您知道是否可以直接访问日期而无需拉出“时间序列（每日）”对象？
我不认为这是可能的，但可以做的事情仍然不是很确定这就是你想要的。

【解决方案2】：

tickerData ={
    "Meta Data": {
        "1. Information": "Daily Prices (open, high, low, close) and Volumes",
        "2. Symbol": "NASDAQ Index",
        "3. Last Refreshed": "2018-04-13",
        "4. Output Size": "Compact",
        "5. Time Zone": "US/Eastern"
    },
    "Time Series (Daily)": {
        "2018-04-13": {
            "1. open": "7179.6201",
            "2. high": "7183.6201",
            "3. low": "7078.1401",
            "4. close": "7106.6499",
            "5. volume": "1743640000"
        },
        "2018-04-12": {
            "1. open": "7112.0200",
            "2. high": "7166.0000",
            "3. low": "7105.0898",
            "4. close": "7140.2500",
            "5. volume": "2021110000"
        }
    }
}

for date in tickerData['Time Series (Daily)'].keys():
    print(date)

【讨论】：