| Name | udlayer JSON |
| Version |
0.2.3
JSON |
| download |
| home_page | https://github.com/SJTU-CILAB/udl |
| Summary | A suite of standardized data structure and pipeline for city data engineering |
| upload_time | 2024-08-19 22:53:02 |
| maintainer | None |
| docs_url | None |
| author | Yiheng Wang |
| requires_python | None |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<div align=center>
<img src="./docs/logo.png" width="200"/>
</div>
<br />
UDL (UrbanDataLayer) is a suite of standard data structure and pipeline for city data engineering, which processes city data from various raw data into a unified data format.
**UDL** is featured for:
- Unified standardized formats for city data: five data layers (grid, graph, point, polygon and linestring).
- User-friendly APIs of data processing: scheme transformation, granularity alignment and feature fusion.
## Usage
1. Install Python >= 3.8. For convenience, execute the following command.
```
pip install udlayer
```
2. Construct a UDL layer data. The full layer data formats and data processing APIs are available in the [**documentation**](https://urbandatalayer-doc.readthedocs.io/en/latest/).
```python
# Example: Construct a polygon layer data from a geojson file
from udlayer.layer.polygonlayer import PolygonLayer
polygonlayer = PolygonLayer("Vermont", "sample_Vermont.geojson", year=2014, column_list=['tag'])
print(polygonlayer.data)
# Example: Transform a tiff file to a grid layer data
from udlayer.transformation.transformation import *
from udlayer.alignment.alignment import *
from udlayer.utils.utility import *
griddata = tif_to_grid("pm2.5", ["Shanghai_pm2.5.tif"], start_lat=30.975, start_lon=121.1, end_lat=31.514, end_lon=121.804, year=2014)
print(griddata.data)
```
3. Transform between different data layers.
```python
# Example: Transform a polygon layer to a graph layer
from udlayer.transformation.transformation import *
with open('sample_Vermont.pickle', 'rb') as f:
polygon = pickle.load(f)
graph_data = polygon_to_graph(polygon)
Raw data
{
"_id": null,
"home_page": "https://github.com/SJTU-CILAB/udl",
"name": "udlayer",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Yiheng Wang",
"author_email": "yhwang0828@sjtu.edu.cn",
"download_url": "https://files.pythonhosted.org/packages/0c/29/5bbf90d43615b7306f2b75305bf17f978101edd9b2950d23ef3f116b2439/udlayer-0.2.3.tar.gz",
"platform": null,
"description": "<div align=center>\n\t<img src=\"./docs/logo.png\" width=\"200\"/>\n</div>\n<br />\n\nUDL (UrbanDataLayer) is a suite of standard data structure and pipeline for city data engineering, which processes city data from various raw data into a unified data format. \n\n**UDL** is featured for:\n- Unified standardized formats for city data: five data layers (grid, graph, point, polygon and linestring).\n- User-friendly APIs of data processing: scheme transformation, granularity alignment and feature fusion.\n\n## Usage\n\n1. Install Python >= 3.8. For convenience, execute the following command.\n\n```\npip install udlayer\n```\n2. Construct a UDL layer data. The full layer data formats and data processing APIs are available in the [**documentation**](https://urbandatalayer-doc.readthedocs.io/en/latest/).\n\n```python\n# Example: Construct a polygon layer data from a geojson file\nfrom udlayer.layer.polygonlayer import PolygonLayer\n\npolygonlayer = PolygonLayer(\"Vermont\", \"sample_Vermont.geojson\", year=2014, column_list=['tag'])\nprint(polygonlayer.data)\n\n# Example: Transform a tiff file to a grid layer data\nfrom udlayer.transformation.transformation import *\nfrom udlayer.alignment.alignment import *\nfrom udlayer.utils.utility import *\n\ngriddata = tif_to_grid(\"pm2.5\", [\"Shanghai_pm2.5.tif\"], start_lat=30.975, start_lon=121.1, end_lat=31.514, end_lon=121.804, year=2014)\nprint(griddata.data)\n```\n\n3. Transform between different data layers. \n\n```python\n# Example: Transform a polygon layer to a graph layer\nfrom udlayer.transformation.transformation import *\n\nwith open('sample_Vermont.pickle', 'rb') as f:\n polygon = pickle.load(f)\ngraph_data = polygon_to_graph(polygon)\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A suite of standardized data structure and pipeline for city data engineering",
"version": "0.2.3",
"project_urls": {
"Homepage": "https://github.com/SJTU-CILAB/udl"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "0c295bbf90d43615b7306f2b75305bf17f978101edd9b2950d23ef3f116b2439",
"md5": "77ea98800fb06d5856f681fdbef88f2d",
"sha256": "1c6d33f1678922addea1da28c6e4dd2c3babe461ac9c76456e71126fa65c7c5f"
},
"downloads": -1,
"filename": "udlayer-0.2.3.tar.gz",
"has_sig": false,
"md5_digest": "77ea98800fb06d5856f681fdbef88f2d",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 17769,
"upload_time": "2024-08-19T22:53:02",
"upload_time_iso_8601": "2024-08-19T22:53:02.957718Z",
"url": "https://files.pythonhosted.org/packages/0c/29/5bbf90d43615b7306f2b75305bf17f978101edd9b2950d23ef3f116b2439/udlayer-0.2.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-19 22:53:02",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "SJTU-CILAB",
"github_project": "udl",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "udlayer"
}
