Back
Hi All,
I am encountering the following error with the default research notebook at line h1.loc["SPY"]["close"].plot():
AttributeError: '0, Culture=neutral, PublicKeyToken=null]]' object has no attribute 'loc'
Why is that happen and how to resolve it ? Thanks very much! KevinThe material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
The reason why the error occurred is that when calling qb.History() there were no assets specified; the only parameters were the number of bars and the resolution.
The line should have been: h1 = qb.History(qb.Securities.Keys, 360, Resolution.Daily)
Since qb.Securities.Keys is called, all the securities added will be requested in this line.
Thanks Guru, that error was gone.
However, a new warning pop out:
--------
/opt/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: FutureWarning: Sorting because non-concatenation axis is not aligned. A future versionThe material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
To unlock posting to the community forums please complete at least 30% of Boot Camp.
You can
continue your Boot Camp training progress from the
terminal. We hope to see you in the community soon!
Send an award to
Choose a Credit PackQuantConnect Credit (QCC) can be applied to your cloud-invoices or gifted to others in the community with Community Awards in recognition of their contributions. Community Awards highlight the awesome work your fellow community members are doing and inspires high quality algorithm contributions to the community. Select an option below to add QuantConnect Credit to your account:
$5
500 Credit Points
$10
1,000 Credit Points
$18
2,000 Credit Points
10% bonus
$45
5,000 Credit Points
10% bonus
| Credit Pack |
| Total |
|
Start New Discussion 
