I am trying to build an alphalens
tear_sheet
but it keeps giving me MissingDataError: exog contains inf or nans
even though I don't have any inf
or nan
in my dataset.
Does anyone know why this is the case? I am doing the substitution like this:
merged_data = get_clean_factor_and_forward_returns(factor, prices)
merged_data = merged_data.replace(['inf','-inf'], np.nan)
merged_data.isna().sum()
> 1D 0
> 5D 0
> 10D 0
> factor 0
> factor_quantile 0
> dtype: int64
create_full_tear_sheet(merged_data)
> MissingDataError: exog contains inf or nans