I have:
Platform win32
Python ‘3.11.10 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:26) [MSC v.1929 64 bit (AMD64)]’
DASK version 2024.8.2
Pandas version ‘2.2.2’
pd_df is Pandas dataframe:
'col1': dtype('int64'),
'col2': dtype('O'),
'col3': dtype('int64'),
'col4': dtype('int64'),
'col5': dtype('O'),
'col6': dtype('O'),
'col7': dtype('O'),
'col8': dtype('float64'),
'col9': dtype('float64'),
'col10': dtype('float64'),
'col11': dtype('float64'),
'col12': dtype('float64'),
'col13': dtype('O'),
'col14': dtype('O'),
'col15': dtype('O'),
'col16': dtype('O'),
'col17': dtype('O'),
'col18': dtype('O')
The
import dask.dataframe as dd
dd.from_pandas(pd_df, npartitions =16 ).compute()
getting error:
{FutureCancelledError}FutureCancelledError()
dask.dataframe.from_pandas
No issue for
Python ‘3.10.11 | packaged by Anaconda, Inc. | (main, May 16 2023, 00:55:32) [MSC v.1916 64 bit (AMD64)]’
DASK 2024.3.1
Pandas 2.2.0