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vaex 4.0.0-alpha.10 documentation

  • What is Vaex?
  • Installation
  • Tutorials
  • Examples
    • Arrow
    • Dask
    • GraphQL
    • I/O Kung-Fu: get your data in and out of Vaex
    • Machine Learning (basic): the Iris dataset
    • Machine Learning (advanced): the Titanic dataset
    • ipyvolume: 3d bar chart
    • A Plotly heatmap
  • Gallery
  • API
  • Datasets
  • FAQ
Contents
  • Vaex-jupyter examples

Examples¶

  • Arrow
    • Opens instantly
    • Quick viz of 146 million rows
    • Data cleansing: outliers
    • Shallow copies
    • Virtual column
    • Result
    • Interoperability
    • Tutorial
  • Dask
    • Dask.array
  • GraphQL
    • Pandas support
    • Server
    • GraphiQL
  • I/O Kung-Fu: get your data in and out of Vaex
    • Data input
    • Data export
  • Machine Learning (basic): the Iris dataset
    • PCA
    • Gradient boosting trees
    • Automatic pipelines
    • Production
    • Performance
  • Machine Learning (advanced): the Titanic dataset
    • Adjusting matplotlib parmeters
    • Get the data
    • Feature engineering
    • Modeling (part 1): gradient boosted trees
    • Modeling (part 2): Linear models & Ensembles

Vaex-jupyter examples¶

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ipyvolume: 3d bar chart

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A Plotly heatmap

Jupyter integration: interactivity Arrow

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