{"id":19430737,"url":"https://github.com/alpacatechjp/jpxlab","last_synced_at":"2025-04-24T18:33:56.037Z","repository":{"id":36293919,"uuid":"208436372","full_name":"AlpacaTechJP/jpxlab","owner":"AlpacaTechJP","description":"Data analysis sandbox for JPX","archived":false,"fork":false,"pushed_at":"2022-12-26T20:48:01.000Z","size":4737,"stargazers_count":29,"open_issues_count":3,"forks_count":3,"subscribers_count":19,"default_branch":"master","last_synced_at":"2024-10-29T08:25:48.206Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AlpacaTechJP.png","metadata":{"files":{"readme":"README.rst","changelog":"HISTORY.rst","contributing":"CONTRIBUTING.rst","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-09-14T12:19:56.000Z","updated_at":"2023-01-20T02:10:58.000Z","dependencies_parsed_at":"2023-01-17T01:16:26.403Z","dependency_job_id":null,"html_url":"https://github.com/AlpacaTechJP/jpxlab","commit_stats":null,"previous_names":["alpacadb/jpxlab"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fjpxlab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fjpxlab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fjpxlab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlpacaTechJP%2Fjpxlab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AlpacaTechJP","download_url":"https://codeload.github.com/AlpacaTechJP/jpxlab/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223963828,"owners_count":17232757,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-10T14:26:21.954Z","updated_at":"2024-11-10T14:26:22.458Z","avatar_url":"https://github.com/AlpacaTechJP.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"======\njpxlab\n======\n\n\n.. image:: https://img.shields.io/pypi/v/jpxlab.svg\n        :target: https://pypi.python.org/pypi/jpxlab\n\n.. image:: https://img.shields.io/travis/AlpacaDB/jpxlab.svg\n        :target: https://travis-ci.org/AlpacaDB/jpxlab\n\n.. image:: https://readthedocs.org/projects/jpxlab/badge/?version=latest\n        :target: https://jpxlab.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n.. image:: https://pyup.io/repos/github/AlpacaDB/jpxlab/shield.svg\n     :target: https://pyup.io/repos/github/AlpacaDB/jpxlab/\n     :alt: Updates\n\n\n\nThe data analysis sandbox for JPX\n\n\n* Free software: MIT license\n\n\nFeatures\n--------\n\n* Convert the historical data of FLEX Historical\n\nUsage: download\n--------\n\n* Prerequisites: You have to contact with JPX's account manager and get FTP account\n\n.. code-block::\n\n  $ cd tools/fetcher\n  $ vim fetch.sh\n  \n  # edit `FTP_USER` and `FTP_PASS`\n  \n  $ ./build.sh\n  $ ./fetch.sh 20191008\n  \n* The file is downloaded into `\u003crepos root\u003e/downloads`\n* You can also specify wiledcard to dowonload multiple files in batch (e.g. `./fetch.sh '201909??'`)\n* It fetches from under `/archives/` so most recent files are out of scope\n\n\nUsage: convert from raw zip files to h5\n--------\n\n.. code-block::\n\n    $ python cli.py convert --help\n    Usage: cli.py convert [OPTIONS] [FILES]...\n\n      convert raw zip files to h5\n\n    Options:\n      --help  Show this message and exit.\n      \nUsage: resample h5 files into aggregated dataframe\n--------\n\n.. code-block::\n\n    $ python cli.py resample --help\n    Usage: cli.py resample [OPTIONS] [FILES]...\n\n      resample the h5 file into aggregated dataframe\n\n    Options:\n      -f, --freq TEXT  frequency of resampling (e.g. '1H' for hourly aggregation)\n      --help           Show this message and exit.\n\n\nUsage: launch the jupyter notebook (locally)\n--------\n\n  $ make notebook\n\nUsage: launch the jupyter notebook (in docker)\n--------\n\n  $ make notebook_docker\n  \nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falpacatechjp%2Fjpxlab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falpacatechjp%2Fjpxlab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falpacatechjp%2Fjpxlab/lists"}