High dimensional Interactive Plotting tool
Project description
HiPlot - High dimensional Interactive Plotting 
HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data using parallel plots and other graphical ways to represent information.
Try a demo now
There are 2 modes to HiPlot:
- As a web-server (if your data is a CSV for instance)
- In a jupyter notebook (to visualize python data)
pip install hiplot # Or for conda users: conda install -c conda-forge hiplot
If you have a jupyter notebook, you can get started with something as simple as:
import hiplot as hip
data = [{'dropout':0.1, 'lr': 0.001, 'loss': 10.0, 'optimizer': 'SGD'},
{'dropout':0.15, 'lr': 0.01, 'loss': 3.5, 'optimizer': 'Adam'},
{'dropout':0.3, 'lr': 0.1, 'loss': 4.5, 'optimizer': 'Adam'}]
hip.Experiment.from_iterable(data).display()
See the live result
Links
- Blog post: https://ai.facebook.com/blog/hiplot-high-dimensional-interactive-plots-made-easy/
- Documentation: https://facebookresearch.github.io/hiplot/index.html
- Pypi package: https://pypi-hypernode.com/project/hiplot/
- Conda package: https://anaconda.org/conda-forge/hiplot
- NPM package: https://www.npmjs.com/package/hiplot
Credits
Inspired by and based on code from Kai Chang, Mike Bostock and Jason Davies.
License
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.
Source Distribution
File details
Details for the file hiplot-master-0.1.9.post2.dev54.tar.gz.
File metadata
- Download URL: hiplot-master-0.1.9.post2.dev54.tar.gz
- Upload date:
- Size: 385.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ea13b94eb4dd968c2a7935158ef901cc96b1db3da56efd9085337c03807d013e |
|
| MD5 | ec89ca769f0a09bd43c52c16c11be738 |
|
| BLAKE2b-256 | a5c3073276dd3da3d389c83e779c7d5390601262467dfca66a351523b1bcd230 |
