vaex 4.0.0-dev.0 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
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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
¶
ipyvolume: 3d bar chart
A Plotly heatmap
Jupyter integration: interactivity
Arrow