knmi-py

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 (with hatchling as the build backend).
• Dependency Management & Task Running: uv is used for fast dependency management.
• Linting & Formatting: Ruff (configured via pyproject.toml or ruff.toml).
• Pre-commit Hooks: Used to ensure code quality and consistency before commits.
• Testing: pytest for running tests.
• Multi-version Testing: tox (with tox-uv) is used to ensure compatibility across multiple Python versions (currently Python 3.9+). Run tox to execute tests in all configured environments.

Please ensure pre-commit hooks pass and tests succeed before submitting a pull request.