Metadata-Version: 2.1
Name: jpxlab-test
Version: 0.3.0
Summary: The data analysis sandbox for JPX
Home-page: https://github.com/AlpacaDB/jpxlab
Author: Yuki Hayashi
Author-email: yuki@alpaca.ai
License: MIT license
Description: ======
        jpxlab
        ======
        
        
        .. image:: https://img.shields.io/pypi/v/jpxlab.svg
                :target: https://pypi.python.org/pypi/jpxlab
        
        .. image:: https://img.shields.io/travis/AlpacaDB/jpxlab.svg
                :target: https://travis-ci.org/AlpacaDB/jpxlab
        
        .. image:: https://readthedocs.org/projects/jpxlab/badge/?version=latest
                :target: https://jpxlab.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        .. image:: https://pyup.io/repos/github/AlpacaDB/jpxlab/shield.svg
             :target: https://pyup.io/repos/github/AlpacaDB/jpxlab/
             :alt: Updates
        
        
        
        The data analysis sandbox for JPX
        
        
        * Free software: MIT license
        
        
        Features
        --------
        
        * Convert the historical data of FLEX Historical
        
        Usage: download
        --------
        
        * Prerequisites: You have to contact with JPX's account manager and get FTP account
        
        .. code-block::
        
          $ cd tools/fetcher
          $ vim fetch.sh
          
          # edit `FTP_USER` and `FTP_PASS`
          
          $ ./build.sh
          $ ./fetch.sh 20191008
          
        * The file is downloaded into `<repos root>/downloads`
        * You can also specify wiledcard to dowonload multiple files in batch (e.g. `./fetch.sh '201909??'`)
        * It fetches from under `/archives/` so most recent files are out of scope
        
        
        Usage: convert from raw zip files to h5
        --------
        
        .. code-block::
        
            $ python cli.py convert --help
            Usage: cli.py convert [OPTIONS] [FILES]...
        
              convert raw zip files to h5
        
            Options:
              --help  Show this message and exit.
              
        Usage: resample h5 files into aggregated dataframe
        --------
        
        .. code-block::
        
            $ python cli.py resample --help
            Usage: cli.py resample [OPTIONS] [FILES]...
        
              resample the h5 file into aggregated dataframe
        
            Options:
              -f, --freq TEXT  frequency of resampling (e.g. '1H' for hourly aggregation)
              --help           Show this message and exit.
        
        
        Usage: launch the jupyter notebook (locally)
        --------
        
          $ make notebook
        
        Usage: launch the jupyter notebook (in docker)
        --------
        
          $ make notebook_docker
          
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        0.1.0 (2019-09-07)
        ------------------
        
        * First release on PyPI.
        
Keywords: jpxlab
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
