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如题，我如何能看到我读取的数据呢？尚未成功。!
coding=utf-8
from future import print_function, absolute_import, unicode_literals
from gmtrade.api import *
set_token('c3cc2a5c1f2e552ea12254da3c84bd207081d041')
#def on_tick(history, tick):
a=history(symbol='SHFE.ag2012', frequency='tick', start_time='2020-09-01 09:00:00', end_time='2020-09-01 23:00:00', fields='open,high,low,close', df=True)
df = pd.DataFrame()
for tick in a:
df = df.append(pd.DataFrame({'symbol': tick.symbol, 'open': tick.open, 'high': tick.high}, index=[1]))
def on_tick(context, tick):
a=context.data(symbol='SHFE.ag2012', frequency='tick',count=500)
df = pd.DataFrame()
for tick in a:
df = df.append(pd.DataFrame({'symbol': tick.symbol, 'open': tick.open, 'high': tick.high}, index=[1]))
-
set_token('c3cc2a5c1f2e552ea12254da3c84bd207081d041')
data = history(symbol = 'SHFE.ag2012',frequency = 'tick',start_time= '2020-09-01 09:00:00',end_time= '2020-09-01 23:00:00',df = True)
print(data)输出结果：
如果想保存到本地，可以加一句：
data.to_csv('ag2012.csv')
就能得到csv文件啦。 -
@四两 感谢你的答复。另外，如果想单独引用quotes里面的bid_p，或者让quotes分成单独四列显示，应如何操作呢？
-
@139012-030
b = pd.DataFrame({'bid_p': data['quotes'].apply(lambda x: x[0]['bid_p']),
'bid_v': data['quotes'].apply(lambda x: x[0]['bid_v']),
'ask_p': data['quotes'].apply(lambda x: x[0]['ask_p']),
'ask_v': data['quotes'].apply(lambda x: x[0]['ask_v'])})
结果如图：
工商网监 