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How to add hours to a datetime index
Bryson P
posted
Seeking Help Getting Started numpy/pandas Self Serve Data

I am trying to add arbitrarily generated hours to a date time index. My solution seems to work in my regular Jupyter notebook running python 3.7, but doesn't work at all in the Quantopian research environment.

I add the hours to my date time using
hp['game_date'] = pd.to_datetime(hp['Date'], dayfirst=True,errors="coerce")
hp["game_date"]+=pd.to_timedelta(hp.Hour,unit="h")

It appears that the hours have been added at first, the output looks like this when using iloc[] to check the if the hours were added.

2020-01-24 00:00:00.000000004

But when I convert game_date to an index, like this

hp=hp.set_index(["game_date","Player"])

The hours seem to disappear, giving me this. Giving me duplicated indexes which I'm trying to avoid.

2020-01-24 00:00:00

For context, I'm using Quantopian for daily fantasy sports.

1 response
Dan Whitnable

If your data is in an appropriate format, maybe try getting the whole date and time together into a string first, then convert it to a datetime in a single step. Use the to_datetime method along with the format parameter. It's a lot easier to manipulate strings than datetime and timedelta objects. Something like this

# get everything into a string first. May need to use `astype`if there are integers  
hp['game_date_str'] = hp['date'] + ':' + hp['hour'].astype(str)

# use `to_datetime` along with a format if needed  
hp['game_date'] = pd.to_datetime(hp['game_date_str'], format="%d-%m-%Y:%H")

# set the index  
hp = hp.set_index(['game_date', 'player'])

I wasn't sure what your data looked like, but give that a try. Using the format parameter gives a lot of flexibility.

See attached notebook

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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.