Convert Pandas dataframe to Dask dataframe
I think you can use dask.dataframe.from_pandas:
from dask import dataframe as dd sd = dd.from_pandas(df, npartitions=3)print (sd)dd.DataFrame<from_pa..., npartitions=2, divisions=(0, 1, 2)>EDIT:
I find solution:
import pandas as pdimport dask.dataframe as ddfrom dask.dataframe.utils import make_metadf=pd.DataFrame({'a':[1,2,3],'b':[4,5,6]})dsk = {('x', 0): df}meta = make_meta({'a': 'i8', 'b': 'i8'}, index=pd.Index([], 'i8'))d = dd.DataFrame(dsk, name='x', meta=meta, divisions=[0, 1, 2])print (d)dd.DataFrame<x, npartitions=2, divisions=(0, 1, 2)>