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and Hydrology Data Access","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# noaa_coops\n\n[![CI](https://github.com/GClunies/noaa_coops/actions/workflows/pull_request.yml/badge.svg)](https://github.com/GClunies/noaa_coops/actions/workflows/pull_request.yml)\n[![PyPI](https://img.shields.io/pypi/v/noaa-coops.svg)](https://pypi.python.org/pypi/noaa-coops)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/noaa-coops.svg)](https://pypi.python.org/pypi/noaa-coops)\n[![License: Apache 2.0](https://img.shields.io/badge/license-Apache_2.0-blue.svg)](https://github.com/GClunies/noaa_coops/blob/main/LICENSE)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/GClunies/noaa_coops/main.svg)](https://results.pre-commit.ci/latest/github/GClunies/noaa_coops/main)\n\nA Python wrapper for the NOAA CO-OPS Tides \u0026 Currents\n[Data](https://tidesandcurrents.noaa.gov/api/) and\n[Metadata](https://tidesandcurrents.noaa.gov/mdapi/latest/) APIs.\n\n## Installation\n\nSupported on Python **3.10, 3.11, 3.12, and 3.13**.\n\n```bash\nuv add noaa-coops\n```\n\nOr with pip:\n\n```bash\npip install noaa-coops\n```\n\n## Getting started\n\n### Stations\n\nData is accessed via `Station` objects identified by a NOAA station `id`:\n\n```python\n\u003e\u003e\u003e from noaa_coops import Station\n\u003e\u003e\u003e seattle = Station(id=\"9447130\")  # Seattle, WA\n```\n\nFind station IDs via the NOAA\n[Tides \u0026 Currents mapping interface](https://tidesandcurrents.noaa.gov/) or\nsearch by bounding box:\n\n```python\n\u003e\u003e\u003e from noaa_coops import get_stations_from_bbox, Station\n\u003e\u003e\u003e stations = get_stations_from_bbox(\n...     lat_coords=[40.389, 40.9397],\n...     lon_coords=[-74.4751, -73.7432],\n... )\n\u003e\u003e\u003e stations\n['8516945', '8518750', '8531680']\n\u003e\u003e\u003e Station(id=\"8516945\").name\n'Kings Point'\n```\n\n### Metadata\n\nStation metadata lives on the `.metadata` attribute, and individual fields are\nalso promoted to top-level attributes on the `Station` object:\n\n```python\n\u003e\u003e\u003e seattle = Station(id=\"9447130\")\n\u003e\u003e\u003e seattle.name\n'Seattle'\n\u003e\u003e\u003e seattle.state\n'WA'\n\u003e\u003e\u003e seattle.lat_lon\n{'lat': 47.60264, 'lon': -122.3393}\n```\n\n### Data inventory\n\nPer-product first/last observation dates:\n\n```python\n\u003e\u003e\u003e seattle.data_inventory[\"Wind\"]\n{'start_date': '1991-11-09 00:00', 'end_date': '...'}\n```\n\n\u003e **Note:** The data inventory comes from NOAA's legacy SOAP endpoint and is\n\u003e best-effort. If the service is unreachable, `data_inventory` is set to `{}`\n\u003e and a warning is logged — `Station()` construction still succeeds.\n\n### Data retrieval\n\nData is returned as a pandas `DataFrame` indexed by timestamp. Column names\nmirror NOAA's [response format](https://api.tidesandcurrents.noaa.gov/api/prod/responseHelp.html).\n\n```python\n\u003e\u003e\u003e seattle = Station(id=\"9447130\")\n\u003e\u003e\u003e df = seattle.get_data(\n...     begin_date=\"20150101\",\n...     end_date=\"20150131\",\n...     product=\"water_level\",\n...     datum=\"MLLW\",\n...     units=\"metric\",\n...     time_zone=\"gmt\",\n... )\n\u003e\u003e\u003e df.head()\n                         v      s        f  q\nt\n2015-01-01 00:00:00  1.799  0.023  0,0,0,0  v\n2015-01-01 00:06:00  1.718  0.018  0,0,0,0  v\n2015-01-01 00:12:00  1.639  0.013  0,0,0,0  v\n2015-01-01 00:18:00  1.557  0.012  0,0,0,0  v\n2015-01-01 00:24:00  1.473  0.014  0,0,0,0  v\n```\n\n![Water levels chart](https://user-images.githubusercontent.com/28986302/233147224-765fbe05-372c-40f3-8bbe-4102536e7ff3.png)\n\nMulti-month and multi-year ranges are automatically split into 31-day (or\n365-day for `hourly_height` / `high_low`) blocks and concatenated. If NOAA\nfails to return data for a block, you get a partial DataFrame along with a\n`RuntimeWarning` and a `df.attrs[\"missing_blocks\"]` list describing which\nranges failed — downstream code can detect gaps instead of silently averaging\nacross them.\n\n### Supported arguments\n\nValues accepted by `Station.get_data(...)` — see\n[NOAA's API docs](https://api.tidesandcurrents.noaa.gov/api/prod/#products) for\nthe authoritative reference.\n\n| Argument    | Accepted values                                                                                                                                                                                     |\n|-------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `product`   | `water_level`, `hourly_height`, `high_low`, `daily_mean`, `monthly_mean`, `one_minute_water_level`, `predictions`, `datums`, `air_gap`, `air_temperature`, `water_temperature`, `wind`, `air_pressure`, `conductivity`, `visibility`, `humidity`, `salinity`, `currents`, `currents_predictions`, `ofs_water_level` |\n| `datum`     | `CRD`, `IGLD`, `LWD`, `MHHW`, `MHW`, `MTL`, `MSL`, `MLW`, `MLLW`, `NAVD`, `STND` (case-insensitive). **Required** for water-level products.                                                         |\n| `units`     | `metric`, `english`                                                                                                                                                                                 |\n| `time_zone` | `gmt`, `lst`, `lst_ldt`                                                                                                                                                                             |\n| `bin_num`   | Integer. **Required** for `currents` and `currents_predictions`. Find values on each station's info page.                                                                                           |\n| `interval`  | Product-specific. `predictions`: `h`, `1`, `5`, `10`, `15`, `30`, `60`, `hilo`. `currents`: `6`, `h`. `currents_predictions`: `h`, `1`, `6`, `10`, `30`, `60`, `max_slack`. Forbidden on `water_level`, `hourly_height`, `one_minute_water_level`. |\n\n### Accepted date formats\n\n`begin_date` and `end_date` accept any of:\n\n- `\"20150101\"` — `%Y%m%d`\n- `\"20150101 12:34\"` — `%Y%m%d %H:%M`\n- `\"01/15/2015\"` — `%m/%d/%Y`\n- `\"01/15/2015 23:59\"` — `%m/%d/%Y %H:%M`\n\n## API etiquette\n\nNOAA's CO-OPS APIs are public and free. There are no enforced rate limits but\nplease be reasonable — avoid tight loops against a single station and cache\nresults when you can. This library uses connection pooling and automatic\nretries on transient failures (429 / 5xx) via a module-level\n`requests.Session`.\n\n## Contributing\n\nBug reports, feature requests, and PRs welcome. See\n[CONTRIBUTING.md](CONTRIBUTING.md) for dev-environment setup and the release\nworkflow.\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["numerical-modeling"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/81118","html_url":"https://ost.ecosyste.ms/projects/81118"}