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
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
- Documentation: https://facebookresearch.github.io/hiplot/index.html
- Pypi package: https://pypi-hypernode.com/project/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
hiplot-0.1.6.tar.gz
(250.9 kB
view details)
Built Distribution
File details
Details for the file hiplot-0.1.6.tar.gz.
File metadata
- Download URL: hiplot-0.1.6.tar.gz
- Upload date:
- Size: 250.9 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/4.43.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 88ab84aed39a97622396c76990aff89fb3fd5561516943325fad88c96d243300 |
|
| MD5 | 6b3e77eb9547e1175e2baa74f1787467 |
|
| BLAKE2b-256 | 33f3aa0a8855f092e205aaf50632d2a270bfbbde616c1d22ef77b496a5928cc2 |
File details
Details for the file hiplot-0.1.6-py3-none-any.whl.
File metadata
- Download URL: hiplot-0.1.6-py3-none-any.whl
- Upload date:
- Size: 6.8 MB
- Tags: Python 3
- 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/4.43.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cd352fc263a65a779d3bdb05d3558a4b640bcda98ccf78ec73a871ef64e38d4e |
|
| MD5 | 45bef3f1d5b175dfb82458ce68f0b674 |
|
| BLAKE2b-256 | b33ddb279a253b8692546c9160102019a55a7c5a9916e5c5ee73a687e70167b6 |
