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could not broadcast input array from shape (8407,1) into shape 8407

Hello! My knowledge of python and coding is very limited.

I'm trying to work on following custom factor. Stuck at line for quite a while now:

out[:] = rsqaured  
could not broadcast input array from shape (8407,1) into shape 8407  
4 responses

The error you are getting simply implies that pandas can't subtract two dataframes if there are no common indexes or column names between the two. The dataframe 'ret' was created from the numpy array 'prices'. The index is just generic integers (ie 1,2, 3 etc). There will be a column for each asset and it will also have a generic integer label. The dataframe 'R_F' was created from your pipeline definition and has a datetime index of trading days between 2016-01-01 and 2019-07-15. The single column name is 'daily_returns_BIL'.

You will need to get the indexes of the two dataframes equal. Perhaps try resetting the index for 'R_F' (R_F.reset_index(drop=True, inplace=True) ). That will get dataframes with compatible indexes. Not sure it will be what you ultimately want, but it should be a step closer.

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R_F.reset_index(drop=True, inplace=True)  

is returning None.

Changed (ret - R_F) to (prices - R_F.values) is returning numbers.

But out[:] is returning an error with

ValueError: could not broadcast input array from shape (888,8407) into shape (8407)

The array 'khs' has 888 rows. The output must be a single row. Did you mean to take just the last row? If so, then this will do it

        out[:] = khs[-1]

KeyError: -1