dask dataframe head() returns empty df

Question

I have a dask dataframe with an index on one of the columns. The issue is if I do a df.head() it always treturns an empty df, whereas df.tail always returns the correct df. I checked df.head always checks for the first n entries in the first partition. So if i do df.reset_index(), it should work but thats not the case

Below is the code to reproduce this:

import dask.dataframe as dd
import pandas as pd

data = pd.DataFrame({
     'i64': np.arange(1000, dtype=np.int64),
     'Ii32': np.arange(1000, dtype=np.int32),
     'bhello': np.random.choice(['hello', 'Yo', 'people'], size=1000).astype("O")
})

daskDf = dd.from_pandas(data, chunksize=3)
daskDf = daskDf.set_index('bhello')
print(daskDf.head())

Answer 1

Try calling head with npartitions=-1, to use all partitions (by default, only the first is used, and there may not be enough elements to return the head).

daskDf.head(npartitions=-1)