attribute_history和history 和get_price的count逻辑基本相同,但注意取到的天数据为上一交易日的数据,相当于get_price设end_date为前一日。 get_bars 1,取数逻辑和get_price的start_date逻辑类似,是以从前往后数的方式进行的; 比如股票在9:36分,count =2,unit=’5m’的情况下,: ①include_now为True: 9:30...
In [35]: get_bars('000001.XSHE', count=2, unit='1m', fields=('date','open','high','low','close','volume','money'), include_now=False, df=True, end_dt=datetime.datetime(2019,11,22,9,30,23)) Out[35]: dateopenhigh lowclosevolume money02019-11-2114:59:0015.8615.8615.8615.8...
get_bars('000001.XSHE', count=2, end_dt=datetime.datetime.now() 拷贝代码, 视频播放量 2.1万播放、弹幕量 0、点赞数 3、投硬币枚数 0、收藏人数 0、转发人数 1, 视频作者 Ada-Xue, 作者简介 主要发布:数学思维与文化、少儿编程、发明创造、《新概念英语》背诵相关视频
get_bars(['000001.XSHE','600000.XSHG'] 00:21 ['000001.XSHE','600000.XSHG'] 00:20 count = 2。两个周期的数据 00:10 end_dt = datetime.datetime.now() 00:08 fields = ('date', 'open', 'high', 'low', 'close') 00:11 拷贝到研究环境中观察 00:12 简单修改代码参数 00:...
获取或设置在 InkEdit 控件中显示的滚动条的类型(如果有)。此属性是可读写的。语法C++ 复制 HRESULT get_ScrollBars( ScrollBarsConstants *pVal ); 参数pVal返回值无备注对于设置 rtfHorizontal、rtfVertical 或 rtfBoth 的 InkEdit 控件,必须将 MultiLine 属性设置为 TRUE。在...
IGET Bar online specialty store offering Bar, Bar Plus, Bar Plus Pods and more. Don't miss out on bulk discounts and free shipping over $100!
IGET Bar online specialty store offering Bar, Bar Plus, Bar Plus Pods and more. Don't miss out on bulk discounts and free shipping over $100!
GetVirtualFunctionProbedBars 例程返回支持单根 I/O 虚拟化 (SR-IOV) 接口的设备的 PCI Express (PCIe) 基址寄存器 () BA 的值。GetVirtualFunctionProbedBars 返回设备在 PCI 总线驱动程序执行的查询后报告的 BAR 值。 此查询确定设备所需的内存或 I/O 地址空间。语法...
Watch Out For Fake IGET BarsDecember 8, 2023 Recently, fake IGET bars have flooded the market. IGET respectfully asks vapers to be vigilant! Caution Against Fake IGET Bar IGET strictly declares that no upgraded version of IGET Bar has been released yet, and the so-called upgraded ...
df = pd.DataFrame(api.get_security_bars(9,1, '880870', 0, 1)) df open close high low vol amount year month day 0 848.78 855.89 855.89 848.75 66504.0 1.417299e+10 2017 9 29 hour minute datetime 0 15 0 2017-09-29 15:00 两天有问题 df = pd.DataFr...