vaex 4.0.0-alpha.10 documentation
What is Vaex?
Installation
Tutorials
Vaex introduction in 11 minutes
The escape hatch: apply
Machine Learning with vaex.ml
Jupyter integration: interactivity
Examples
Gallery
API
Datasets
FAQ
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Tutorials
ΒΆ
Vaex introduction in 11 minutes
DataFrame
Columns
Virtual columns
Selections and filtering
Statistics on N-d grids
Getting your data in
Plotting
1-D and 2-D
Selections for plotting
Advanced Plotting
Slices in a 3rd dimension
Visualization of smaller datasets
In control
Healpix (Plotting)
xarray suppport
Interactive widgets
Joining
Group-by
String processing
Propagation of uncertainties
Just-In-Time compilation
Parallel computations
Extending Vaex
Adding functions
Adding DataFrame accessors
The escape hatch: apply
When not to use apply
Machine Learning with vaex.ml
Preprocessing
Scaling of numerical features
Encoding of categorical features
Feature Engineering
KBinsDiscretizer
GroupBy Transformer
Dimensionality reduction
Principal Component Analysis
Clustering
K-Means
Supervised learning
Scikit-Learn
example
XGBoost
example
CatBoost
example
State transfer - pipelines made easy
Jupyter integration: interactivity
Introduction
An interactive xarray DataArray display
Interactive plots
Selection widgets
Axis control widgets
A nice container
Interactive plots
Creating your own visualizations
ipyvolume example
plotly example
Installing
Vaex introduction in 11 minutes