Poland Fetcher
Fetcher for Polish river gauge data from IMGW.
- class rivretrieve.poland.PolandFetcher[source]
Bases:
RiverDataFetcherFetches river gauge data from Poland’s Institute of Meteorology and Water Management (IMGW).
Data Source: IMGW Public Data (https://danepubliczne.imgw.pl/) This fetcher downloads all historical data and caches it in a Zarr store in
rivretrieve/data/poland.zarron first use.- Supported Variables:
'discharge_daily_mean'(m³/s)'stage_daily_mean'(m)'water-temperature_daily_mean'(°C)
- static get_cached_metadata() DataFrame[source]
Retrieves a DataFrame of available Polish gauge IDs and metadata.
This method loads the metadata from a cached CSV file located in the
rivretrieve/cached_site_data/directory.- Returns:
A DataFrame indexed by gauge_id, containing site metadata.
- Return type:
pd.DataFrame
- get_data(gauge_id: str, variable: str, start_date: str | None = None, end_date: str | None = None) DataFrame[source]
Fetches and parses time series data for a specific gauge and variable.
This method retrieves the requested data from the provider’s API or data source, parses it, and returns it in a standardized pandas DataFrame format.
- Parameters:
gauge_id – The site-specific identifier for the gauge.
variable – The variable to fetch. Must be one of the strings listed in the fetcher’s
get_available_variables()output. These are typically defined inrivretrieve.constants.start_date – Optional start date for the data retrieval in ‘YYYY-MM-DD’ format. If None, data is fetched from the earliest available date.
end_date – Optional end date for the data retrieval in ‘YYYY-MM-DD’ format. If None, data is fetched up to the latest available date.
- Returns:
A pandas DataFrame indexed by datetime objects (
'time') with a single column named after the requestedvariable. The DataFrame will be empty if no data is found for the given parameters.- Return type:
pd.DataFrame
- Raises:
ValueError – If the requested
variableis not supported by this fetcher.requests.exceptions.RequestException – If a network error occurs during data download.
Exception – For other unexpected errors during data fetching or parsing.
- static get_metadata()[source]
Downloads the metadata CSV file from IMGW and converts it into a pandas DataFrame.
Data is fetched from:
https://danepubliczne.imgw.pl/data/dane_pomiarowo_obserwacyjne/dane_hydrologiczne/lista_stacji_hydro.csv- Returns:
A DataFrame indexed by gauge_id, containing site metadata.
- Return type:
pd.DataFrame