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 to the file object or …
Strategy for partitioning dask dataframes efficiently
Jun 20, 2017 · The documentation for Dask talks about repartioning to reduce overhead here. They however seem to indicate you need some knowledge of what your dataframe will look like …
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 dask.dataframe …
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: difference between client.persist and client.compute
Jan 23, 2017 · More pragmatically, I recommend using persist when your result is large and needs to be spread among many computers and using compute when your result is small and you want it on just …
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 Dask the wrong …
Dask does not use all workers and behaves differently with different ...
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 after 40-45 minutes (40% …
python - Difference between dask.distributed LocalCluster with threads ...
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 …
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 execute a multi-threaded `merge ()` with dask? How to use ...
Oct 15, 2016 · I've just begun using dask, and I'm still fundamentally confused how to do simple pandas tasks with multiple threads, or using a cluster. Let's take pandas.merge() with dask dataframes. …