Best way to check amount of data in a dataset?

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Best way to check amount of data in a dataset?

posted

There have been a couple of occasions where I've been working in the Research environment and I go to test a new factor/customfactor/etc. when I find that a dataset I was attempting to use seems basically empty. I understand why some of these fields might have little to no data,but I'd like to know what the best way to weed these out might be before I proceed using them? It's only after I've run a pipeline containing the dataset factor that I can then screen ~EXAMPLEFACTOR.isnan() and find out I've been thinking too much about this empty dataset.

3 responses

Specifically in this case I was looking to use the "cost of debt" data in the factset fundamentals dataset

Hi, maybe you are looking for

 df.count(level=0)

Hi William, thanks that looks like it may be what I need. I'll test it out.

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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.