Metadata-Version: 2.1
Name: expt
Version: 0.2.1
Summary: EXperiment. Plot. Tabulate.
Home-page: https://github.com/wookayin/expt
Author: Jongwook Choi
Author-email: wookayin@gmail.com
License: MIT
Description: # expt
        
        Experiment. Plot. Tabulate.
        
        <p align="center">
          <img src="https://raw.githubusercontent.com/wookayin/expt/master/examples/demo-figure.png" width="640" />
        </p>
        
        `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][demo-notebook], until an user guide and API documentation arrive.
        
        [demo-notebook]: https://github.com/wookayin/expt/blob/master/examples/quick-tour.ipynb
        
        Installation:
        ```
        pip install expt
        pip install git+https://github.com/wookayin/expt@master        # Latest development version
        ```
        
        
        License
        -------
        
        MIT License (c) 2019-2020 Jongwook Choi
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
