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Trouble on creating of a CustomFactor since a Dataframe Column


I'm new on this and I found a problem when I wanted to create a CustomFactor passing the column of my main modified dataframe ('my_factor'), which is a list of floats that represent my own calculus of a factor, but when I put this list of values (by the way: [class 'numpy.float64']) in my create CustomFactor class I get this error:

  • NonPipelineInputs: Unexpected input types in str. Inputs to Pipeline expressions must be Filters, Factors, Classifiers, or BoundColumns.
    Got the following type(s) instead: []

All of this is because to create a Pipeline with my factor column, but it throws and error:

  • TypeError: Pipeline.validate_column() expected a value of type Term for argument 'term', but got Series instead.

So I need to create a CustomFactor.

Please if you know how to figure it out, help me.

May the Force be with you.

1 response

The only items which can be used to create a factor, including a custom factor, are

  • BoundColumns (eg USEquityPricing.close or Fundamentals.market_cap)
  • Other Factors (eg Returns())
  • Filters (eg Returns() > 1.0)
  • Classifiers (eg Fundamentals.morningstar_sector_code)

One can import and use their own data by using 'self serve' (see This effectively creates a custom dataset where one then chooses a column (technically BoundColumn) from that dataset.

Can you reply to this post and attach the notebook or algo which is causing the error? It's much easier to troubleshoot with the actual code.


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