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A Python API wrapper for KNMI data

Project description

# KNMI-py Python wrapper to fetch and parse observations from KNMI, either as csv or Pandas DataFrame

See http://knmi.nl/kennis-en-datacentrum/achtergrond/data-ophalen-vanuit-een-script

Note: This library is not affiliated in any way with KNMI, it only uses the KNMI API to request data.

Currently only daily data is implemented.

## Installation KNMI-py is available via pip.

python -m pip install knmi-py

## 5 Functions - 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)

## Metadata Don’t know which station number you need, or what the variables mean? We got you covered:

  • knmi.stations provides a list of all available stations
  • knmi.variables provides a list of all variables and explanations

## Metadata included in DataFrame All raw data is included as argument to the DataFrame (however, the data is lost once you start manipulating the frame, so you’ll have to copy it)

# Example

`python import knmi df = knmi.get_day_data_dataframe(stations=[260]) print(df.disclaimer) print(df.stations) print(df.legend) df = df.rename(columns=df.legend) print(df) `

## Disclaimer

The KNMI-py Python library is not affiliated, created or maintained by KNMI. It merely uses the KNMI API to request data.

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