Unable to use dask-sql due to 'dask_expr.io' module
Jul 7, 2025 · However, since dask 2025.1.0 release, dask-expr was merged in Dask. It is possible that latest versions of dask or dask-expr package are not well supported by dask-sql.
Dask DataFrame.to_parquet fails on read - Stack Overflow
Mar 15, 2022 · Use dask.dataframe.read_parquet or other dask I/O implementations, not dask.delayed wrapping pandas I/O operations, whenever possible. Giving dask direct access …
Converting an DataFrame from pandas to dask - Stack Overflow
Oct 22, 2020 · I followed this documentation dask.dataframe.from_pandas and there are optional arguments called npartitions and chunksize. So I try write something like this: import …
python - Why does Dask perform so slower while multiprocessing …
Sep 6, 2019 · 36 dask delayed 10.288054704666138s my cpu has 6 physical cores Question Why does Dask perform so slower while multiprocessing perform so much faster? Am I using …
Reading an SQL query into a Dask DataFrame - Stack Overflow
May 24, 2022 · I'm trying create a function that takes an SQL SELECT query as a parameter and use dask to read its results into a dask DataFrame using the dask.read_sql_query function.
How to transform Dask.DataFrame to pd.DataFrame?
Aug 18, 2016 · How can I transform my resulting dask.DataFrame into pandas.DataFrame (let's say I am done with heavy lifting, and just want to apply sklearn to my aggregate result)?
Dask does not use all workers and behaves differently with …
Apr 21, 2023 · Workers: 15 Threads: 15 Memory: 22.02 GiB Dask Version: 2023.2.0 Dask.Distributed Version: 2023.2.0 10 nodes If I use 10 nodes the calculations interrupted …
How to Set Dask Dashboard Address with SLURMRunner …
Dec 17, 2024 · I am trying to run a Dask Scheduler and Workers on a remote cluster using SLURMRunner from dask-jobqueue. I want to bind the Dask dashboard to 0.0.0.0 (so it’s …
dask - Make Pandas DataFrame apply () use all cores? - Stack …
As of August 2017, Pandas DataFame.apply() is unfortunately still limited to working with a single core, meaning that a multi-core machine will waste the majority of its compute-time when you …
python - Difference between dask.distributed LocalCluster with …
Sep 2, 2019 · What is the difference between the following LocalCluster configurations for dask.distributed? Client(n_workers=4, processes=False, threads_per_worker=1) versus …