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  1. python - Reading an SQL query into a Dask DataFrame - Stack Overflow

    May 24, 2022 · However, passing a meta attribute to read_sql_query and setting head_rows=0 is completely ok as long as there's an efficient way to retrieve/create while dask-sql might work for this …

  2. python - Strategy for partitioning dask dataframes efficiently - Stack ...

    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 …

  3. 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 …

  4. dask - Make Pandas DataFrame apply () use all cores? - Stack Overflow

    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 run df.

  5. python - Default pip installation of Dask gives "ImportError: No module ...

    Find the dask package suitable for your python version from the release history page of the pypi dask page. Go back to colab and remove dask completely !pip uninstall dask

  6. python - How should I get the shape of a dask dataframe ... - Stack ...

    May 15, 2018 · How should I get the shape of a dask dataframe? Asked 7 years, 6 months ago Modified 1 year, 7 months ago Viewed 26k times

  7. What is the "right" way to close a Dask LocalCluster?

    Nov 20, 2018 · 19 I am trying to use dask-distributed on my laptop using a LocalCluster, but I have still not found a way to let my application close without raising some warnings or triggering some strange …

  8. python - importing large CSV file using Dask - Stack Overflow

    Jul 2, 2021 · I am importing a very large csv file ~680GB using Dask, however, the output is not what I expect. My aim is to select only some columns (6/50), and perhaps filter them (this I am unsure of …

  9. python - dask dataframe apply meta - Stack Overflow

    Jun 8, 2017 · This is required because apply() is flexible enough that it can produce just about anything from a dataframe. As you can see, if you don't provide a meta, then dask actually computes part of …

  10. pandas - Down-sampling with Dask - Python - Stack Overflow

    Dec 1, 2023 · It worked normally for Python 3.13, but I got a warning that says: Dask dataframe query planning is disabled because dask-expr is not installed. UPDATE: With dask-expr the problem is there.