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我正在尝试在带有 notion-py 的概念表行中使用 yfinance 显示股息

这是我正在使用的代码

from notion.client import NotionClient
from datetime import datetime
import pandas as pd

client = NotionClient(token_v2="mytoken")

cv = client.get_collection_view("tablepageurl")

data = pd.DataFrame()
stock_list = ['XSH.TO', 'ZFL.TO','EEMV', 'ACWV', 'XEF.TO', 'XIC.TO', 'VTI']

start = '2019-10-1'
end = '2020-10-30'

for i in stock_list:
 series = yf.Ticker(i).dividends.loc[start:end]
 data = pd.concat([data, series], axis=1)
 row = cv.collection.add_row()

 row.shmoney = stock_list

tickers = ('XSH.TO', 'ZFL.TO','EEMV', 'ACWV', 'XEF.TO', 'XIC.TO', 'VTI')
for ticker in tickers:
 price = yf.Ticker(ticker)
 row = cv.collection.add_row()
 
 

 hist = price.history(period="1d")
 row.SYMBL = ticker
 row.DayReturn = float(round(((hist.Close[0]) - (hist.Open[0]) ) / (hist.Open[0])*100,2))

我收到此错误提示

File "/Users/ajj/Documents/NotionStockAPI/notionapi_env/lib/python3.9/site-packages/notion/collection.py", line 583, in _convert_python_to_notion
    raise TypeError(
TypeError: Value passed to property 'shmoney' must be an int or float.

“shmoney”是 Notion 中表行的名称，我在玩这些名称，因为我认为名称与代码冲突（我真的迷路了）

当我拿出

from notion.client import NotionClient
from datetime import datetime
import pandas as pd

client = NotionClient(token_v2="mytoken")

cv = client.get_collection_view("tablepageurl")

data = pd.DataFrame()
stock_list = ['XSH.TO', 'ZFL.TO','EEMV', 'ACWV', 'XEF.TO', 'XIC.TO', 'VTI']

start = '2019-10-1'
end = '2020-10-30'

for i in stock_list:
 series = yf.Ticker(i).dividends.loc[start:end]
 data = pd.concat([data, series], axis=1)
 row = cv.collection.add_row()

 row.shmoney = stock_list

一切都很好。

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