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title Weather Stations | Python Library
sidebar_label Overview
id python-stations-overview
slug /python/stations
sidebar_position 1

import DocCardList from '@theme/DocCardList'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Weather Stations

Weather stations are the primary source of meteorological data for Meteostat. The Meteostat Python library provides access to a comprehensive database of weather stations worldwide, allowing users to retrieve station metadata and search for stations based on various criteria.

:::info All meteostat.stations.* methods are using the Meteostat weather stations SQLite database. While this database can be loaded into memory, it is recommended to use the default on-disk database for most applications to conserve system memory. :::

🚀 Example {#example}

You can easily retrieve metadata for a specific weather station using its unique identifier: 
    ```python
    import meteostat as ms

    station = ms.stations.meta('72503')  # LaGuardia Airport

    print(station)
    ```

    Learn more about station metadata in the [Meta Data](meta.md) chapter.
To find weather stations near a specific geographical point, you can use the `nearby` method: 
    ```python
    import meteostat as ms

    POINT = ms.Point(50.1155, 8.6842, 113)  # Try with your location

    # Get nearby weather stations
    stations = ms.stations.nearby(POINT, limit=4)

    print(stations)
    ```

    Learn more about finding nearby stations in the [Nearby Stations](nearby.md) chapter.
You can check the data availability for a specific weather station using the `inventory` method: 
    ```python
    import meteostat as ms

    STATION = '71624'  # Toronto Pearson International Airport

    # Get station inventory
    inventory = ms.stations.inventory(STATION)

    print(f"Data available from {inventory.start} to {inventory.end}.")
    ```

    Learn more about station inventory in the [Inventory](inventory.md) chapter.

👀 Learn More {#learn-more}