I have this weird problem that the screen is not working. If I check the unique length of index 1, it shows me 9930 which I assume is all the securities in the quantopian universe. Could someone please help me out here? What I am missing?
I have this weird problem that the screen is not working. If I check the unique length of index 1, it shows me 9930 which I assume is all the securities in the quantopian universe. Could someone please help me out here? What I am missing?
Ah, welcome to the world of dataframe indexes.
The simple answer/solution is to use get_level_values instead index. Like this
assets = result.index.get_level_values(level=1).unique()
display(len(assets))
That will display the number of assets you were expecting (~1300).
So, what's up? The issue is in understanding dataframe indexes. Basically the number of elements in the index isn't related to the number of rows in the dataframe. Jamie McCorriston just wrote a very good post on this same issue (https://www.quantopian.com/posts/am-i-doing-something-wrong-pipeline-row-count-star-not-consistent-star). There is also a thread on github discussing this behavior which may be of interest (https://github.com/pandas-dev/pandas/issues/2770).
I generally always use get_level_values when I want to look at the labels and am not concerned about the index itself.
Attached is a notebook showing this in action and how either method works in the tutorial and generates the same output from get_clean_factor_and_forward_returns.
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