Dask: subset (or drop) rows from Dataframe by index
I'm not sure this is the "best" way, but here's how I ended up doing it:

Create a Pandas DataFrame with the index be the series of index keys I want to keep (e.g., pd.DataFrame(index=overlap_list))
Inner join the Dask Dataframe
I'd like to take a subset of rows of a Dask dataframe based on a set of index keys. (Specifically, I want to find rows of ddf1 whose index is not in the index of ddf2.)
Both cache.drop([overlap_list]) and diff = cache[should_keep_bool_array] either throw a NotImplementedException or otherwise don't work.
What is the best way to do this?