如何打印/访问"时间序列(每日)"的日期?
我尝试了以下操作,但是我收到了一个关键错误:
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"
}}}
答案 0 :(得分: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)
答案 1 :(得分:1)
您可以使用以下内容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)
但是如果您注意到这个时间序列(每日)'标签需要简化,我认为你可能无法控制或想做。