isd-fetch
isd-fetch is a Python package for efficiently accessing and processing NOAA's ISD Lite dataset. The project is
distributed as isd-fetch and imported as pyisd.
It supports:
- browsing NOAA station metadata as a
GeoDataFrame - filtering by country, geometry, or a specific
station_id - returning results organized either by station or by weather field
For more information, see the full documentation.
Installation
pip install isd-fetch
Quick Start
from pyisd import IsdLite
# Initialize the client
isd = IsdLite(crs=4326, verbose=True)
# Get data for all French weather stations for 2023
france_data = isd.get_data(
start='2023-01-01',
end='2023-12-31',
countries='FR',
organize_by='field'
)
# Access temperature data
temperature = france_data['temp']
temperature.sample(5)
Another Example
from pyisd import IsdLite
isd = IsdLite()
# Metadata is loaded lazily on first access
stations = isd.raw_metadata[['USAF', 'WBAN', 'STATION NAME', 'CTRY']].sample(5)
# Fetch one station directly when you already know its NOAA identifier
nashville = isd.get_data(
start='2024-01-01',
end='2024-01-07',
station_id='723270-13897',
organize_by='location'
)
# Station-organized results are keyed by station id
nashville['723270-13897'][['temp', 'windspeed']].head()
Metadata
Release files for isd-fetch 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| isd_fetch-0.2.0.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| isd_fetch-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.8 kB
Release files / isd_fetch-0.2.0.tar.gz
| Download URL | isd_fetch-0.2.0.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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Release files / isd_fetch-0.2.0-py3-none-any.whl
| Download URL | isd_fetch-0.2.0-py3-none-any.whl |
|---|---|
| Size | 14.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
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