Name | bls-transformer JSON |
Version |
0.2.1
JSON |
| download |
home_page | |
Summary | An easy-to-use library to access Bureau of Labor Statistics data and transform the raw JSON into pandas DataFrames. |
upload_time | 2023-02-10 01:20:45 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.9 |
license | MIT License Copyright (c) 2022 Ryan Sherby Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
keywords |
bls
data
transformer
json
economics
timeseries
cpi
unemployment
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# BLS-Transformer
## Description
An easy-to-use library to access Bureau of Labor Statistics data and transform the raw JSON into pandas DataFrames.
## Installation
`pip install bls-transformer`
## Usage
See the Wiki.
Raw data
{
"_id": null,
"home_page": "",
"name": "bls-transformer",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": "",
"keywords": "BLS,data,transformer,json,economics,timeseries,CPI,unemployment",
"author": "",
"author_email": "Ryan Sherby <ryan.m.sherby@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/6c/04/da4c4027e3a266c80c9a15354f80c794d0c0a5bdf682289b0a1384ff13d6/bls-transformer-0.2.1.tar.gz",
"platform": null,
"description": "# BLS-Transformer\r\n\r\n## Description\r\nAn easy-to-use library to access Bureau of Labor Statistics data and transform the raw JSON into pandas DataFrames.\r\n\r\n## Installation\r\n`pip install bls-transformer`\r\n\r\n## Usage\r\nSee the Wiki.\r\n",
"bugtrack_url": null,
"license": "MIT License Copyright (c) 2022 Ryan Sherby Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ",
"summary": "An easy-to-use library to access Bureau of Labor Statistics data and transform the raw JSON into pandas DataFrames.",
"version": "0.2.1",
"split_keywords": [
"bls",
"data",
"transformer",
"json",
"economics",
"timeseries",
"cpi",
"unemployment"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "1dc36a4808fca787783aafcd1abc5da532352690b82ff12f830ea39ef478552a",
"md5": "59b9575c72687156bd76f4c604ee6e86",
"sha256": "ea5b4f17c1feaf584bf681ca2bfe4a6511c6a6dddb751e4b7597ff594f871c03"
},
"downloads": -1,
"filename": "bls_transformer-0.2.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "59b9575c72687156bd76f4c604ee6e86",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 5547,
"upload_time": "2023-02-10T01:20:37",
"upload_time_iso_8601": "2023-02-10T01:20:37.763886Z",
"url": "https://files.pythonhosted.org/packages/1d/c3/6a4808fca787783aafcd1abc5da532352690b82ff12f830ea39ef478552a/bls_transformer-0.2.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "6c04da4c4027e3a266c80c9a15354f80c794d0c0a5bdf682289b0a1384ff13d6",
"md5": "948daf6b2064dcee521a858bae08327f",
"sha256": "e2ed779418d40240a129d0d6d4220178d4da0f07227ebd41e85d3d1584d9cd4e"
},
"downloads": -1,
"filename": "bls-transformer-0.2.1.tar.gz",
"has_sig": false,
"md5_digest": "948daf6b2064dcee521a858bae08327f",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 4660,
"upload_time": "2023-02-10T01:20:45",
"upload_time_iso_8601": "2023-02-10T01:20:45.506707Z",
"url": "https://files.pythonhosted.org/packages/6c/04/da4c4027e3a266c80c9a15354f80c794d0c0a5bdf682289b0a1384ff13d6/bls-transformer-0.2.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-02-10 01:20:45",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "bls-transformer"
}