| Name | pygris JSON |
| Version |
0.1.5
JSON |
| download |
| home_page | |
| Summary | Download and use US Census Bureau TIGER/Line Shapefiles and other data resources in Python |
| upload_time | 2023-05-17 17:52:10 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
## pygris
__pygris__ is a Python package to help users access US Census Bureau TIGER/Line and cartographic boundary shapefiles and load them into Python as GeoDataFrames. The goal of the package is to make it simple to access US Census geographic data; data can be acquired with a single function for a given geography (e.g. `tracts()` for Census tracts) along with a few options.
The package is a general port of the [R __tigris__ package](https://github.com/walkerke/tigris) with a few modifications. The framework of and philosophy behind the __tigris__ package is covered in [Chapter 5 of my book, _Analyzing US Census Data: Methods, Maps and Models in R_](https://walker-data.com/census-r/census-geographic-data-and-applications-in-r.html).
Install __pygris__ from PyPI with the following command:
```bash
pip install pygris
# For optional dependencies to support interactive examples in the documentation:
# pip install pygris[explore]
```
Alternatively, install the development version from GitHub:
```bash
pip install git+https://github.com/walkerke/pygris.git
```
Support for installation with `conda` is forthcoming.
Read the following articles for more information on how to use the package:
* [Basic usage of pygris](https://walker-data.com/pygris/01-basic-usage)
* [Working with geometries in pygris](https://walker-data.com/pygris/02-geometries)
* [Data utilities in pygris](https://walker-data.com/pygris/03-data-utilities)
* [Geocoding and custom filters in pygris](https://walker-data.com/pygris/04-geocoding)
Raw data
{
"_id": null,
"home_page": "",
"name": "pygris",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "",
"author": "",
"author_email": "Kyle Walker <kyle@walker-data.com>",
"download_url": "https://files.pythonhosted.org/packages/ee/b6/c7ab458fd1c551dca4d6881a54e534a71f50104024277f9651d30d4c5cb7/pygris-0.1.5.tar.gz",
"platform": null,
"description": "## pygris\n\n__pygris__ is a Python package to help users access US Census Bureau TIGER/Line and cartographic boundary shapefiles and load them into Python as GeoDataFrames. The goal of the package is to make it simple to access US Census geographic data; data can be acquired with a single function for a given geography (e.g. `tracts()` for Census tracts) along with a few options. \n\nThe package is a general port of the [R __tigris__ package](https://github.com/walkerke/tigris) with a few modifications. The framework of and philosophy behind the __tigris__ package is covered in [Chapter 5 of my book, _Analyzing US Census Data: Methods, Maps and Models in R_](https://walker-data.com/census-r/census-geographic-data-and-applications-in-r.html). \n\nInstall __pygris__ from PyPI with the following command:\n\n```bash\npip install pygris\n\n# For optional dependencies to support interactive examples in the documentation:\n# pip install pygris[explore]\n```\n\nAlternatively, install the development version from GitHub:\n\n```bash\npip install git+https://github.com/walkerke/pygris.git\n```\n\nSupport for installation with `conda` is forthcoming.\n\nRead the following articles for more information on how to use the package:\n\n* [Basic usage of pygris](https://walker-data.com/pygris/01-basic-usage)\n* [Working with geometries in pygris](https://walker-data.com/pygris/02-geometries)\n* [Data utilities in pygris](https://walker-data.com/pygris/03-data-utilities)\n* [Geocoding and custom filters in pygris](https://walker-data.com/pygris/04-geocoding)\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Download and use US Census Bureau TIGER/Line Shapefiles and other data resources in Python",
"version": "0.1.5",
"project_urls": {
"Bug Tracker": "https://github.com/walkerke/pygris/issues",
"Homepage": "https://github.com/walkerke/pygris"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "f7a07ce29779844bdafd19b08860c24c3810a62583c5d8d8106cd232691f578c",
"md5": "9fbe54ba82404810bcd19643494ca2a2",
"sha256": "318168e03ce0d9a5d4244be47666908a94acf7e290d1d0f561fe32a4ce800b6a"
},
"downloads": -1,
"filename": "pygris-0.1.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "9fbe54ba82404810bcd19643494ca2a2",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 55341,
"upload_time": "2023-05-17T17:51:53",
"upload_time_iso_8601": "2023-05-17T17:51:53.650471Z",
"url": "https://files.pythonhosted.org/packages/f7/a0/7ce29779844bdafd19b08860c24c3810a62583c5d8d8106cd232691f578c/pygris-0.1.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "eeb6c7ab458fd1c551dca4d6881a54e534a71f50104024277f9651d30d4c5cb7",
"md5": "db48e875209110d52f4c32f7a6cd4b90",
"sha256": "f6d8cefa2c05cd8fe50f68045d832e98fef2c865bf1402011db8ae38c3d2a1f8"
},
"downloads": -1,
"filename": "pygris-0.1.5.tar.gz",
"has_sig": false,
"md5_digest": "db48e875209110d52f4c32f7a6cd4b90",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 49643,
"upload_time": "2023-05-17T17:52:10",
"upload_time_iso_8601": "2023-05-17T17:52:10.271528Z",
"url": "https://files.pythonhosted.org/packages/ee/b6/c7ab458fd1c551dca4d6881a54e534a71f50104024277f9651d30d4c5cb7/pygris-0.1.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-05-17 17:52:10",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "walkerke",
"github_project": "pygris",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "pygris"
}