How warm and wet was a year at one airport?

Available since v0.10.0. The manifest requests one year of precipitation and mean temperature at Will Rogers World Airport through noaa:gsoy. GSOY selects every UTC calendar year touched by the query in full; May 6–7 selects all of 2024, while December 31–January 1 selects both years.

In an activated Python 3.11+ virtual environment, install the published package and save the manifest as dataset.yaml in a working directory. Run the commands from that directory:

python -m pip install "usdata[pandas]"
usdata pull dataset.yaml
usdata verify dataset.yaml

Open the downloaded CSV locally with the same generic reader used by other station datasets. Run this with python in the same directory and environment:

from pathlib import Path

from usdata import pull, verify

manifest = Path("dataset.yaml")
result = pull(manifest)
(item,) = result.fetched
frame = item.open(dtype={"DATE": "string"})
print(frame[["STATION", "DATE", "PRCP", "TAVG"]])
assert verify(manifest) == []

For a source installation, run from examples/annual-climate/ and use uv run usdata and uv run python.

DATE is a four-digit year label. Explicit dtype keeps numeric-looking labels as text; no datetime parsing or provider-specific reader is needed. The request uses metric units: PRCP is annual precipitation in millimeters and TAVG is annual mean temperature in degrees Celsius. NCEI CSV has no units row, so the reader retains request provenance rather than synthesizing a units map.

A repeat pull uses the lockfile and checksummed cache. Keep the manifest, lockfile, and cached bytes for reproducibility: NCEI revises records, and an old checksum cannot recreate data that is no longer available upstream. Annual labels do not imply identical accumulation seasons for every element; consult NOAA access notes when choosing other variables.