Metadata-Version: 1.2
Name: hypertools
Version: 0.6.3
Summary: A python package for visualizing and manipulating high-dimensional data
Home-page: https://github.com/ContextLab/hypertools
Author: Contextual Dynamics Lab
Author-email: contextualdynamics@gmail.com
License: MIT
Download-URL: https://github.com/ContextLab/hypertools
Description: 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 using the package: https://github.com/ContextLab/hypertools-paper-notebooks
        
        For more examples: https://github.com/ContextLab/hypertools/tree/master/examples
        
        Some key features of HyperTools are:
        
        - Functions for plotting high-dimensional datasets in 2/3D.
        - Static and animated plots
        - Simple API for customizing plot styles
        - A set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more.
        - Support for lists of Numpy arrays, Pandas dataframes, String, Geos or mixed lists.
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Multimedia :: Graphics
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.5
