| Name | xvec JSON |
| Version |
0.3.1
JSON |
| download |
| home_page | None |
| Summary | Vector data cubes for Xarray |
| upload_time | 2025-01-03 19:13:02 |
| maintainer | Xvec contributors |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
gis
cartography
pandas
shapely
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Vector data cubes for Xarray
> Where raster data cubes refer to data cubes with raster (x- and y-, or lon- and lat-) dimensions, vector data cubes are n-D arrays that have (at least) a single spatial dimension that maps to a set of (2-D) vector geometries. ([Edzer Pebesma](https://r-spatial.org/r/2022/09/12/vdc.html))
Xvec combines [Xarray](http://xarray.pydata.org) n-D arrays and [shapely 2](https://shapely.readthedocs.io/en/latest/) planar vector geometries to create a support for vector data cubes in Python. See [this post](https://r-spatial.org/r/2022/09/12/vdc.html) by Edzer Pebesma on an introduction of the concept or the introduction of their implementation in Xvec in our [documentation](https://xvec.readthedocs.io/en/latest/intro.html).
## Project status
The project is in the early stage of development and its API may still change.
## Installing
You can install Xvec from PyPI using `pip` or from conda-forge using `mamba` or `conda`:
```sh
pip install xvec
```
Or (recommended):
```sh
mamba install xvec -c conda-forge
```
### Development version
The development version can be installed from GitHub.
```sh
pip install git+https://github.com/xarray-contrib/xvec.git
```
We recommend installing its dependencies using `mamba` or `conda` before.
```sh
mamba install xarray shapely pyproj -c conda-forge
```
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