An interactive visualizer to help explore high-dimensional data and its observables.
Reason this release was yanked:
wrong setup.py
Project description
InViz
InViz (Interactive Visualizer) is a tool for exploratory analysis of high-dimensional datasets where data points from the parameter space are used to calculate some set of real-world observables. This enables you to easily see how the derived observables change as you traverse the parameter space. If you have pre-computed observables, simply import them alongside the dataset containing the parameters to start visualizing. Or, write your own function that takes your parameters as inputs, and give it to InViz to compute on the fly!
Installation
Dependencies
- Python versions $\geq$ 3.8 and $<$ 3.11 are supported.
- Holoviews $\leq$ 1.15.4 (this package and its dependencies will be installed automatically)
InViz can be installed with pip:
python -m pip install inviz
Or, if you want to test the latest changes, you can clone the repository with
git clone https://github.com/wen-jams/inviz
cd inviz
python setup.py install
Getting Started
Test Installation
To verify that inviz and all the dependencies have been installed correctly, open a Jupyter Notebook and run:
import inviz as nv
If no errors appear, all the dependencies were installed correctly and we're ready to start visualizing!
Example
Download and run the live_data_example
notebook in the tutorials folder to see an example of how inviz can be used.
Here's an example of InViz in an astrophysics context! The parameters come from a specific dark matter model, and the observables are the matter power spectrum and CMB anisotropy power spectra.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.