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Contents

Examples

• Advanced plotting examples
  • A single plot
  • Multiple plots of the same type
  • Multiple plots, same axes, different statistics
  • Multiple plots, different axes, different statistics
  • Slices in a 3rd dimension
  • Many plots with wrapping
  • Plotting selections
  • Overplotting a vector field on a heatmap
  • Plotting a healpix map
• 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

ipyvolume: 3d bar chart

A Plotly heatmap

Jupyter integration: interactivity Advanced plotting examples