unorderable types: list() > float()
During backtest when using the default python 3.5 i had this runtime error at 10 May 2019, but it it works fine under python 2.7. Any ideas, guys?
There should be a line number and the offending code printed underneath the error. Check out that line and you will find the culprit. Judging from the error message you probably have a comparison something like this
# There is a list with a single item. As an example 99.
my_list = [99]
# This list is being compared to a floating point value
my_comparison = my_list > 1.0
In Python 3.5 this causes an error. In 2.7 it doesn't. You may not have originally realized in your code that 'my_list' was a list. You may have assumed it was a scaler value. The solution is to explicitly select the item of the list one wants to compare (probably the first?).
# Select an item from the list then compare. An easy way is with list indexing.
my_comparison = my_list[0] > 1.0
The above will work in both Python 2.7 and 3.5.
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The 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 Quantopian.
In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian 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.