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Location Input

When working with time series data in Meteostat, you can specify weather stations and geographical points as location input. We are using the hourly function as an example, but the same options apply to other time series functions.

Performance Tip

When working with the default providers, you may specify a new Station object with just the station ID. That will improve performance by avoiding unnecessary metadata lookups. Example: ms.Station(id='10637').

Station ID​

You can access time series data by specifying a weather station using its Meteostat ID:

ts = ms.hourly('10637', START, END)

You can also provide a list of station IDs to access data from multiple stations simultaneously:

ts = ms.hourly(['10637', '10635'], START, END)

Station​

You can pass a Station object to specify a weather station. This could also be a list of Station objects. Passing a Station object allows you to specify a station's metadata yourself. This is useful if you want to include stations that are not (yet) part of the Meteostat database.

STATION = ms.Station(
    id='10637',
    name='Frankfurt Airport',
    country='DE',
    region='HE',
    lat=50.05,
    lon=8.6842,
    elevation=100
)

ts = ms.hourly(STATION, START, END)

DataFrame​

You can pass a Pandas DataFrame with an index named id. This is mainly used for accessing data for a list of nearby weather stations obtained from the meteostat.stations.nearby function.

# Specify location and time range
POINT = ms.Point(50.1155, 8.6842, 113)

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

# Get hourly data
ts = ms.hourly(stations, START, END)

Point​

You can pass a Point object to specify a geographical point. This could also be a list of Point objects. Passing a Point object allows you to specify a location's metadata yourself. This is useful if you want to access data for a geographical point, not a specific weather station.

warning

Note that when using a Point object, only providers that support accessing data by geographical point can be used.

POINT = ms.Point(50.05, 8.6842, 100)

ts = ms.hourly(POINT, START, END, providers=[ms.Provider.METNO_FORECAST])