EXperiment. Plot. Tabulate.
Project description
expt
Experiment. Plot. Tabulate.
expt
is a small Python library that helps you draw time-series plots from a tabular data.
Typical use cases are drawing learning curves for machine learning experiments.
expt
aim to provide a minimal API for doing most of common plotting needs with sensible defaults and useful batteries included.
Features:
- Parsing of CSV or TensorBoard eventfiles, in parallel
- Easy plotting of individual runs, hypotheses, or experiments.
Usage
See a demo ipython notebook, until an user guide and API documentation arrive.
Installation:
pip install expt
pip install git+https://github.com/wookayin/expt@master # Latest development version
License
MIT License (c) 2019-2020 Jongwook Choi
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
expt-0.1.0.tar.gz
(26.5 kB
view details)
File details
Details for the file expt-0.1.0.tar.gz
.
File metadata
- Download URL: expt-0.1.0.tar.gz
- Upload date:
- Size: 26.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b71893122f2c1740fe7164f4a6a016817071bd71330a9827b9d419ec293d5dda |
|
MD5 | 165540d3f8a5ae03eb11813ae4397b81 |
|
BLAKE2b-256 | 4726b05bff0a82b899a2100470d16f5d3bb88bd6246712d0450ba8e675765cd1 |