Name | olas JSON |
Version |
0.3.1
JSON |
| download |
home_page | None |
Summary | Library with wave tools like ESTELA |
upload_time | 2025-01-15 03:23:27 |
maintainer | None |
docs_url | None |
author | None |
requires_python | <3.14,>=3.9 |
license | None |
keywords |
estela
waves
xarray
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# olas
[](https://pypi.python.org/pypi/olas)
[](https://anaconda.org/conda-forge/olas)
[](https://pypi.python.org/pypi/olas)
Library with wave tools. At the moment it only includes a prototype of ESTELA.
Documentation: <https://jorgeperezg.github.io/olas>
## Installation
Installation with pip (or similar tools) is straightforward:
```
pip install olas
```
It can also be installed with conda from conda-forge:
```
conda install -c conda-forge olas
```
## Basic usage
Calculate and plot ESTELA maps from the sample netcdf files.
Using the command line interface:
```sh
# estela -h to check additional options
estela "./tests/sample_files/test20180101T??.nc" 44 -4 --outdir "."
```
Or python functions:
```python
from olas.estela import calc, plot
estelas = calc("./tests/sample_files/test20180101T??.nc", 44, -4)
plot(estelas, outdir=".")
plot(estelas, outdir=".") # gainloss=True for plotting GL maps
```
Raw data
{
"_id": null,
"home_page": null,
"name": "olas",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.14,>=3.9",
"maintainer_email": null,
"keywords": "ESTELA, waves, xarray",
"author": null,
"author_email": "Jorge Perez <j.perez@metocean.co.nz>",
"download_url": "https://files.pythonhosted.org/packages/f3/ea/3b9ef1bc5f9b4a7d9f639b8f4642ae8583762d148548277539a7955e69da/olas-0.3.1.tar.gz",
"platform": null,
"description": "# olas\n\n[](https://pypi.python.org/pypi/olas)\n[](https://anaconda.org/conda-forge/olas)\n[](https://pypi.python.org/pypi/olas)\n\nLibrary with wave tools. At the moment it only includes a prototype of ESTELA.\n\nDocumentation: <https://jorgeperezg.github.io/olas>\n\n## Installation\n\nInstallation with pip (or similar tools) is straightforward:\n```\npip install olas\n```\n\nIt can also be installed with conda from conda-forge:\n```\nconda install -c conda-forge olas\n```\n\n## Basic usage\nCalculate and plot ESTELA maps from the sample netcdf files.\n\nUsing the command line interface:\n```sh\n# estela -h to check additional options\nestela \"./tests/sample_files/test20180101T??.nc\" 44 -4 --outdir \".\"\n```\n\nOr python functions:\n```python\nfrom olas.estela import calc, plot\nestelas = calc(\"./tests/sample_files/test20180101T??.nc\", 44, -4)\nplot(estelas, outdir=\".\")\nplot(estelas, outdir=\".\") # gainloss=True for plotting GL maps\n```\n",
"bugtrack_url": null,
"license": null,
"summary": "Library with wave tools like ESTELA",
"version": "0.3.1",
"project_urls": {
"documentation": "https://jorgeperezg.github.io/olas",
"homepage": "https://github.com/jorgeperezg/olas",
"repository": "https://github.com/jorgeperezg/olas"
},
"split_keywords": [
"estela",
" waves",
" xarray"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "358af7dc9a22c0e958f083e03b0f525c53143cb208d64d17c09be2fe76efe040",
"md5": "a9ddb80da7296fb723063569110bd4fa",
"sha256": "0731c4a84d0e87bb6ab41b4cde0fdddcf86ea3186de0cd5c7df337cdaafa9a4d"
},
"downloads": -1,
"filename": "olas-0.3.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "a9ddb80da7296fb723063569110bd4fa",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.14,>=3.9",
"size": 9018,
"upload_time": "2025-01-15T03:23:25",
"upload_time_iso_8601": "2025-01-15T03:23:25.612583Z",
"url": "https://files.pythonhosted.org/packages/35/8a/f7dc9a22c0e958f083e03b0f525c53143cb208d64d17c09be2fe76efe040/olas-0.3.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "f3ea3b9ef1bc5f9b4a7d9f639b8f4642ae8583762d148548277539a7955e69da",
"md5": "b8e500ad68264e17967111cdf60a5c85",
"sha256": "f7cd2fa10ef2a09b6bd59309dceaca4f78a897af7fec5c9ea3b02d569d2ea126"
},
"downloads": -1,
"filename": "olas-0.3.1.tar.gz",
"has_sig": false,
"md5_digest": "b8e500ad68264e17967111cdf60a5c85",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.14,>=3.9",
"size": 2685440,
"upload_time": "2025-01-15T03:23:27",
"upload_time_iso_8601": "2025-01-15T03:23:27.822998Z",
"url": "https://files.pythonhosted.org/packages/f3/ea/3b9ef1bc5f9b4a7d9f639b8f4642ae8583762d148548277539a7955e69da/olas-0.3.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-01-15 03:23:27",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "jorgeperezg",
"github_project": "olas",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "olas"
}