stats-can

Name	stats-can JSON
Version	2.5.3 JSON
	download
home_page	https://github.com/ianepreston/stats_can
Summary	Read StatsCan data into python, mostly pandas dataframes
upload_time	2023-05-03 22:49:01
maintainer
docs_url	None
author	Ian Preston
requires_python	>=3.8,<4.0
license	GPL-3.0-or-later
keywords	statistics canada data api
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Python api for Statistics Canada New Data Model (NDM)

[![Tests](https://github.com/ianepreston/stats_can/workflows/Tests/badge.svg)](https://github.com/ianepreston/stats_can/actions?workflow=Tests)
[![Documentation Status](https://readthedocs.org/projects/stats-can/badge/?version=latest)](https://stats-can.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/ianepreston/stats_can/branch/master/graph/badge.svg)](https://codecov.io/gh/ianepreston/stats_can)
[![PyPI version](https://badge.fury.io/py/stats-can.svg)](https://badge.fury.io/py/stats-can)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/stats_can/badges/version.svg)](https://anaconda.org/conda-forge/stats_can)

API documentation for StatsCan can be found here: https://www.statcan.gc.ca/eng/developers/wds

If you're looking for Table/Vector IDs to use in the app you can find them through this:
https://www150.statcan.gc.ca/n1/en/type/data

Anaconda package here:
https://anaconda.org/conda-forge/stats_can


Documentation here:
https://stats-can.readthedocs.io/en/latest/


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/ianepreston/stats_can",
    "name": "stats-can",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8,<4.0",
    "maintainer_email": "",
    "keywords": "statistics,Canada,data,API",
    "author": "Ian Preston",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/61/92/ea6fe1fec8353ed9ef0ba6a965bf70e0cdb0415e1bfec715a083f269be97/stats_can-2.5.3.tar.gz",
    "platform": null,
    "description": "# Python api for Statistics Canada New Data Model (NDM)\n\n[![Tests](https://github.com/ianepreston/stats_can/workflows/Tests/badge.svg)](https://github.com/ianepreston/stats_can/actions?workflow=Tests)\n[![Documentation Status](https://readthedocs.org/projects/stats-can/badge/?version=latest)](https://stats-can.readthedocs.io/en/latest/?badge=latest)\n[![codecov](https://codecov.io/gh/ianepreston/stats_can/branch/master/graph/badge.svg)](https://codecov.io/gh/ianepreston/stats_can)\n[![PyPI version](https://badge.fury.io/py/stats-can.svg)](https://badge.fury.io/py/stats-can)\n[![Anaconda-Server Badge](https://anaconda.org/conda-forge/stats_can/badges/version.svg)](https://anaconda.org/conda-forge/stats_can)\n\nAPI documentation for StatsCan can be found here: https://www.statcan.gc.ca/eng/developers/wds\n\nIf you're looking for Table/Vector IDs to use in the app you can find them through this:\nhttps://www150.statcan.gc.ca/n1/en/type/data\n\nAnaconda package here:\nhttps://anaconda.org/conda-forge/stats_can\n\n\nDocumentation here:\nhttps://stats-can.readthedocs.io/en/latest/\n\n",
    "bugtrack_url": null,
    "license": "GPL-3.0-or-later",
    "summary": "Read StatsCan data into python, mostly pandas dataframes",
    "version": "2.5.3",
    "project_urls": {
        "Documentation": "https://stats-can.readthedocs.io",
        "Homepage": "https://github.com/ianepreston/stats_can",
        "Repository": "https://github.com/ianepreston/stats_can"
    },
    "split_keywords": [
        "statistics",
        "canada",
        "data",
        "api"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f1a940c053c95876a7ec32120abecb931caf6bdf5d0fe5d9ffb1219e206dedea",
                "md5": "46cfcbd32f5f0354f8986ce685983a02",
                "sha256": "7119621c8369466e6c97dd34f8510fa3c2dec7f52454dd152b0905197342b91e"
            },
            "downloads": -1,
            "filename": "stats_can-2.5.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "46cfcbd32f5f0354f8986ce685983a02",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8,<4.0",
            "size": 25611,
            "upload_time": "2023-05-03T22:49:00",
            "upload_time_iso_8601": "2023-05-03T22:49:00.367494Z",
            "url": "https://files.pythonhosted.org/packages/f1/a9/40c053c95876a7ec32120abecb931caf6bdf5d0fe5d9ffb1219e206dedea/stats_can-2.5.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6192ea6fe1fec8353ed9ef0ba6a965bf70e0cdb0415e1bfec715a083f269be97",
                "md5": "c2c04c79aebd38dccbcf30a78c88678a",
                "sha256": "04835b829a55a463c50057675275aa725864c7a116cfcae35314abde0ffb42dd"
            },
            "downloads": -1,
            "filename": "stats_can-2.5.3.tar.gz",
            "has_sig": false,
            "md5_digest": "c2c04c79aebd38dccbcf30a78c88678a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8,<4.0",
            "size": 24459,
            "upload_time": "2023-05-03T22:49:01",
            "upload_time_iso_8601": "2023-05-03T22:49:01.975786Z",
            "url": "https://files.pythonhosted.org/packages/61/92/ea6fe1fec8353ed9ef0ba6a965bf70e0cdb0415e1bfec715a083f269be97/stats_can-2.5.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-05-03 22:49:01",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "ianepreston",
    "github_project": "stats_can",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "stats-can"
}