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.
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 …
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 …
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 …
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 …
How to see progress of Dask compute task? - Stack Overflow
I would like to see a progress bar on Jupyter notebook while I'm running a compute task using Dask, I'm counting all values of id column from a large csv file +4GB, so any ideas? import …