HyperTools: A python toolbox for gaining geometric insights into high-dimensional data

HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation). For sample Jupyter notebooks, click here and to read the paper, click here.

Some key features of HyperTools are:

1. Functions for plotting high-dimensional datasets in 2/3D

2. Static and animated plots

3. Simple API for customizing plot styles

4. Set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more

5. Support for lists of Numpy arrays, Pandas dataframes, text or (mixed) lists

6. Applying topic models and other text vectorization methods to text data

Contents:

• API reference
  • DataGeometry class
  • Load
  • Analyze
  • Plot
  • Normalize
  • Reduce
  • Align
  • Cluster
  • Describe
  • Tools
• How to use HyperTools
  • Plot
  • Analyze
  • Normalize
  • Reduce
  • Align
  • Cluster
  • DataGeometry Objects
  • Plotting text
• Gallery of Examples

Indices and tables

• Index

• Module Index

• Search Page