Name | meteodata-lab JSON |
Version |
0.4.0
JSON |
| download |
home_page | None |
Summary | A data post-processing framework on the basis of xarray. |
upload_time | 2025-05-27 13:29:50 |
maintainer | None |
docs_url | None |
author | Carlos Osuna |
requires_python | <3.13,>=3.10 |
license | None |
keywords |
icon
data processing
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# meteodata-lab
<p align="center">
<picture>
<img src="https://raw.githubusercontent.com/MeteoSwiss/meteodata-lab/main/docs/assets/meteodata-lab_logo.gif"
style="max-height: 200px; height: auto; width: auto;"
alt="Animated logo">
</picture>
</p>
<p align="center">
<a href="https://pypi.org/project/meteodata-lab/">
<img src="https://img.shields.io/pypi/v/meteodata-lab.svg?color=ff69b4" alt="PyPI version">
</a>
<a href="https://github.com/meteoswiss/meteodata-lab/releases">
<img src="https://img.shields.io/github/v/release/meteoswiss/meteodata-lab?color=purple&label=Release" alt="Latest Release">
</a>
<a href="https://opensource.org/licenses/mit">
<img src="https://img.shields.io/badge/licence-MIT-blue.svg" alt="Licence">
</a>
</p>
<p align="center">
<a href="#installation">Installation</a> •
<a href="https://meteoswiss.github.io/meteodata-lab/">Documentation</a>
</p>
> **WARNING:**
>
> This project is in BETA and under active development. Interfaces and functionality are subject to change.
**Meteodata-lab** is a NumPy/Xarray-based Python library for processing and analyzing gridded meteorological data. It supports GRIB (read/write) and is tailored to common workflows that require data interpolation, regridding to custom grids (e.g., Swiss grid or rotated lat/lon), and the computation of advanced meteorological fields. One of the key features of meteodata-lab is its use of operators that ensure the integrity of GRIB metadata is maintained throughout processing, allowing for consistent writing back to GRIB format.
## Installation
### For Users
To install the latest release from PyPI:
```bash
pip install meteodata-lab
```
#### Optional Extras
To install optional extras:
```bash
pip install "meteodata-lab[polytope,regrid]"
```
**Note**: The `fdb` extra is currently disabled because its dependency `pyfdb` is not available on PyPI. As an alternative the development setup can be used.
### For Contributors
To set up the project for local development (e.g. for contributing code or testing changes), follow these steps:
1. If you don't have write access, first fork the repository on GitHub, then clone your fork:
```bash
git clone git@github.com:your-username/meteodata-lab.git
```
If you do have write access, you can clone the main repository directly:
```bash
git clone git@github.com:MeteoSwiss/meteodata-lab.git
```
2. Navigate to the project directory and run the setup script:
```bash
cd meteodata-lab
./scripts/setup_poetry.sh
```
This will install Poetry (if not already available), set up the virtual environment, and install all dependencies with extras.
You can find more information about contributing to meteodata-lab at our [Contributing page](https://meteoswiss.github.io/meteodata-lab/contributing.html).
## Documentation
Learn more about meteodata-lab in its official documentation at [meteoswiss.github.io/meteodata-lab/](https://meteoswiss.github.io/meteodata-lab/).
Try out [interactive Juypter notebooks](https://github.com/MeteoSwiss/opendata-nwp-demos)
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"description": "# meteodata-lab\n\n<p align=\"center\">\n <picture>\n <img src=\"https://raw.githubusercontent.com/MeteoSwiss/meteodata-lab/main/docs/assets/meteodata-lab_logo.gif\"\n style=\"max-height: 200px; height: auto; width: auto;\"\n alt=\"Animated logo\">\n </picture>\n</p>\n<p align=\"center\">\n <a href=\"https://pypi.org/project/meteodata-lab/\">\n <img src=\"https://img.shields.io/pypi/v/meteodata-lab.svg?color=ff69b4\" alt=\"PyPI version\">\n </a>\n <a href=\"https://github.com/meteoswiss/meteodata-lab/releases\">\n <img src=\"https://img.shields.io/github/v/release/meteoswiss/meteodata-lab?color=purple&label=Release\" alt=\"Latest Release\">\n </a>\n <a href=\"https://opensource.org/licenses/mit\">\n <img src=\"https://img.shields.io/badge/licence-MIT-blue.svg\" alt=\"Licence\">\n </a>\n</p>\n\n<p align=\"center\">\n <a href=\"#installation\">Installation</a> \u2022\n <a href=\"https://meteoswiss.github.io/meteodata-lab/\">Documentation</a>\n</p>\n\n> **WARNING:**\n>\n> This project is in BETA and under active development. Interfaces and functionality are subject to change.\n\n**Meteodata-lab** is a NumPy/Xarray-based Python library for processing and analyzing gridded meteorological data. It supports GRIB (read/write) and is tailored to common workflows that require data interpolation, regridding to custom grids (e.g., Swiss grid or rotated lat/lon), and the computation of advanced meteorological fields. One of the key features of meteodata-lab is its use of operators that ensure the integrity of GRIB metadata is maintained throughout processing, allowing for consistent writing back to GRIB format.\n\n## Installation\n\n\n### For Users\n\nTo install the latest release from PyPI:\n\n```bash\npip install meteodata-lab\n```\n#### Optional Extras\nTo install optional extras:\n```bash\npip install \"meteodata-lab[polytope,regrid]\"\n```\n**Note**: The `fdb` extra is currently disabled because its dependency `pyfdb` is not available on PyPI. As an alternative the development setup can be used.\n\n### For Contributors\nTo set up the project for local development (e.g. for contributing code or testing changes), follow these steps:\n1. If you don't have write access, first fork the repository on GitHub, then clone your fork:\n ```bash\n git clone git@github.com:your-username/meteodata-lab.git\n ```\n If you do have write access, you can clone the main repository directly:\n ```bash\n git clone git@github.com:MeteoSwiss/meteodata-lab.git\n ```\n2. Navigate to the project directory and run the setup script:\n ```bash\n cd meteodata-lab\n ./scripts/setup_poetry.sh\n ```\n This will install Poetry (if not already available), set up the virtual environment, and install all dependencies with extras.\n\n\nYou can find more information about contributing to meteodata-lab at our [Contributing page](https://meteoswiss.github.io/meteodata-lab/contributing.html).\n\n## Documentation\n\nLearn more about meteodata-lab in its official documentation at [meteoswiss.github.io/meteodata-lab/](https://meteoswiss.github.io/meteodata-lab/).\n\nTry out [interactive Juypter notebooks](https://github.com/MeteoSwiss/opendata-nwp-demos)\n\n",
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