A Python API wrapper for KNMI data.
Project description
KNMI-py
Python wrapper to fetch and parse daily and hourly weather observations from KNMI, either as raw text, CSV-like strings, or Pandas DataFrames.
See the official KNMI documentation for more details on data retrieval via scripts: KNMI Kennis- en datacentrum - Data ophalen vanuit een script
Note: This library is not affiliated in any way with KNMI; it only utilizes the KNMI API to request data.
Installation
KNMI-py is available via pip:
python -m pip install knmi-py
Key Functions
The library provides functions to retrieve both daily and hourly weather data:
knmi.get_day_data_raw(stations, start, end, inseason, variables)
knmi.get_day_data_dataframe(stations, start, end, inseason, variables)
knmi.get_hour_data_raw(stations, start, end, inseason, variables)
knmi.get_hour_data_dataframe(stations, start, end, inseason, variables)
knmi.get_forecast_dataframe(station, conform_values, variables)
(Limited to De Bilt, station 260)
Metadata
Need to find a station number or understand what the weather variable abbreviations mean?
knmi.stations
: A dictionary of all available KNMI weather stations.knmi.variables
: A dictionary providing explanations for weather variable codes.
Example Usage
import knmi
import pandas as pd
# Get daily data for De Bilt (station 260) for a specific period
daily_df = knmi.get_day_data_dataframe(
stations=,
start='2023-01-01',
end='2023-01-31'
)
print("Daily Data:")
print(daily_df.head())
# Get hourly data for Schiphol (station 240) for a specific day
# Note: start and end for hourly data are strings like "YYYYMMDDHH"
hourly_df = knmi.get_hour_data_dataframe(
stations=,
start="2023032801", # March 28, 2023, 01:00
end="2023032824" # March 28, 2023, 24:00
)
print("\nHourly Data:")
print(hourly_df.head())
Disclaimer
The KNMI-py Python library is not affiliated with, created by, or maintained by KNMI. It merely uses the publicly available KNMI API to request data.
Contributing & Development
Contributions are welcome! Please feel free to open an issue or submit a pull request.
This project uses modern Python development tools:
- Packaging:
pyproject.toml
(withhatchling
as the build backend). - Dependency Management & Task Running:
uv
is used for fast dependency management. - Linting & Formatting:
Ruff
(configured viapyproject.toml
orruff.toml
). - Pre-commit Hooks: Used to ensure code quality and consistency before commits.
- Testing:
pytest
for running tests. - Multi-version Testing:
tox
(withtox-uv
) is used to ensure compatibility across multiple Python versions (currently Python 3.9+). Runtox
to execute tests in all configured environments.
Please ensure pre-commit hooks pass and tests succeed before submitting a pull request.
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