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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

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I'm new to vaex, my senario is **calculation**: calculate and save the results into a bunch of big files **preparation**: to select some columns and rows from each one of...

I have code in which I am using applyinPandas along witha a udf function that processes two dataframes, one on which the groupby is applied and another is passed as...

**Description** Vaex can calcluate the mean value from a huge data based on the grid designed by user. let's say we design a 2D grid in dimension of 400*600, and...

I have code in which I am using applyinPandas along witha a udf function that processes two dataframes, one on which the groupby is applied and another is passed as...

Hi, Missing *py3*.whl in PyPI blocking the use of vaex with pyodide. Pls check below references and assist. Thanks. Ref [1] https://pypi.org/project/vaex-core/#files [2] https://pypi.org/project/numpy/#files [3] https://pyodide.org/en/stable/usage/faq.html#micropip-can-t-find-a-pure-python-wheel

As Vaex has fast groupby, do we have any plan on implementation of **pivot_table** like pandas.DataFrame.pivot_table (https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.pivot_table.html)? Would that reach mush better performance? Or is there any suggestion to implement...

feature-request
priority: low

Error when trying to import `vaex` ```bash % conda install -c conda-forge vaex Channels: - conda-forge - defaults Platform: osx-arm64 Collecting package metadata (repodata.json): done Solving environment: done ## Package...

**Description** Using "pip install vaex" or "!pip install vaex" fails recently in Google Colab: ![Image](https://github.com/user-attachments/assets/a9a344fc-3619-4ad1-afdb-83f6a8f29e6f) **Additional information** Full output: Collecting vaex Downloading vaex-4.17.0-py3-none-any.whl.metadata (6.0 kB) Collecting vaex-core~=4.17.1 (from vaex) Downloading...

I installed vaex in a conda environment with python 3.6.13. My vaex versions are: ``` vaex 4.5.0 pyhd8ed1ab_0 vaex-astro 0.8.3 pyhd8ed1ab_0 vaex-core 4.5.1 py36h52d1fc4_0 vaex-hdf5 0.10.0 pyhd8ed1ab_0 vaex-jupyter 0.6.0 pyhd8ed1ab_0...