Guides# 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 Async programming with Vaex Using delay=True Using the @delayed decorator Async await Async auto execute Caching Dask Dask.array Data Types Supported Data Types in Vaex General advice on data types in Vaex Higher dimensional arrays String support in Vaex GraphQL Pandas support Server GraphiQL I/O Kung-Fu: get your data in and out of Vaex Data input Data export Handling missing or invalid data “nan” vs “missing” vs “na” Examples Machine Learning: the Iris dataset PCA Gradient boosting trees Automatic pipelines Production Performance Machine Learning: the Titanic dataset Adjusting matplotlib parmeters Get the data Feature engineering Modeling (part 1): gradient boosted trees Modeling (part 2): Linear models & Ensembles Performance notes Virtual columns Materializing the columns Consideration in backends with multiple workers Progress Bars Basic progress bars Rich based progress bars Vaex server Why Starting the dataframe server Python API REST API Example using plotly.js
