Add Virtual Environment to Jupyter Notebook

確認有安裝 ipykernel 後，terminal 下移動到新建的虛擬環境資料夾下，例如 my_env_name 執行下列指令:

python -m ipykernel install --user --name=<my_env_name>

ref: Create Virtual Environment using “virtualenv” and add it to Jupyter Notebook | by B. Chen | Towards Data Science

群益API SKReplyLib 回報 OnNewData 範例

現在沒有模擬單帳號可以測試了，因此我用群益下單軟體，下了個很遠不會成交的單子當作委託測試單。

另外最近 jupyter lab 開發不知道為什麼當我使用 %matplotlib auto 的 magic function時，會使整個notebook 當機，因此用 asyncio 自製了一個簡易的 event loop 來定時 pump event

ref:

jupyter跑 asyncio 的用法

Running asyncio — Mastering JupyterLab (nocomplexity.com)

範例

	from comtypes.client import CreateObject, GetEvents
	import comtypes.gen.SKCOMLib as sk
	import pythoncom
	import asyncio
	# 建立物件, 登錄物件, 回報物件
	skC = CreateObject(sk.SKCenterLib, interface=sk.ISKCenterLib)
	skR = CreateObject(sk.SKReplyLib , interface=sk.ISKReplyLib)
	# 輸入身分證與密碼
	ID = ''
	PW = ''
	# working functions, async coruntime to pump events
	async def pump_task():
	while True:
	pythoncom.PumpWaitingMessages()
	await asyncio.sleep(0.1)
	# 建立事件類別
	class skR_events:
	def OnReplyMessage(self, bstrUserID, bstrMessage):
	'''API 2.13.17 以上一定要返回 sConfirmCode=-1'''
	sConfirmCode=-1
	print('skR_OnReplyMessage', bstrMessage)
	return sConfirmCode
	def OnNewData(self, bstrUserID , bstrData):
	print('skR_OnNewData', bstrData)
	# Event sink, 事件實體
	EventR = skR_events()
	# make connection to event sink
	ConnR = GetEvents(skR, EventR)
	print('Making event handeller')
	# get an event loop
	loop = asyncio.get_event_loop()
	pumping_loop = loop.create_task(pump_task())
	print('Event pumping!')
	# login
	nCode=skC.SKCenterLib_Login(ID,PW)
	print('Login', skC.SKCenterLib_GetReturnCodeMessage(nCode))
	# 連接回報伺服器
	skR.SKReplyLib_ConnectByID(ID)

view raw example_SKReplyLib.py hosted with ❤ by GitHub

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結果