python - Dask: DataFrame taking forever to compute -


i created dask dataframe pandas dataframe ~50k rows , 5 columns:

ddf = dd.from_pandas(df, npartitions=32)

i add bunch of columns (~30) dataframe , try turn pandas dataframe:

data = ddf.compute(get = dask.multiprocessing.get)

i looked @ docs , if don't specify num_workers, defaults using cores. i'm on 64 core ec2 instance , above line has taken minutes without finishing...

any idea how speed or i'm doing incorrectly?

thanks!


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