Skip to main content

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-0.2.1.tar.gz (30.2 kB view details)

Uploaded Source

File details

Details for the file expt-0.2.1.tar.gz.

File metadata

  • Download URL: expt-0.2.1.tar.gz
  • Upload date:
  • Size: 30.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.1

File hashes

Hashes for expt-0.2.1.tar.gz
Algorithm Hash digest
SHA256 cae69220b08af598c0d1d3011678fcb3c4d07cc4af641c1d71dc2f97fca2ed39
MD5 86fd9920786415d6c79e4c5e00b31665
BLAKE2b-256 4c20115cfa20ecc0b69391bbad4fc9bd6ff1cefaed2b79073b15693e6227121d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page