API reference

class datapoint.Manager.Manager(api_key='')

Manager for DataHub connection.

Wraps calls to DataHub API, and provides Forecast objects. Basic Usage:

>>> import datapoint
>>> m = datapoint.Manager.Manager(api_key = "blah")
>>> f = m.get_forecast(
            latitude=50,
            longitude=0,
            frequency="hourly",
            convert_weather_code=True
        )
>>> f.now()
{
    'time': datetime.datetime(2024, 2, 19, 13, 0, tzinfo=datetime.timezone.utc),
    'screenTemperature': {
        'value': 10.09,
        'description': 'Screen Air Temperature',
        'unit_name': 'degrees Celsius',
        'unit_symbol': 'Cel'
    },
    'screenDewPointTemperature': {
        'value': 8.08,
        'description': 'Screen Dew Point Temperature',
        'unit_name': 'degrees Celsius',
        'unit_symbol': 'Cel'
    },
    'feelsLikeTemperature': {
        'value': 6.85,
        'description': 'Feels Like Temperature',
        'unit_name': 'degrees Celsius',
        'unit_symbol': 'Cel'
    },
    'windSpeed10m': {
        'value': 7.57,
        'description': '10m Wind Speed',
        'unit_name': 'metres per second',
        'unit_symbol': 'm/s'
    },
    'windDirectionFrom10m': {
        'value': 263,
        'description': '10m Wind From Direction',
        'unit_name': 'degrees',
        'unit_symbol': 'deg'
    },
    'windGustSpeed10m': {
        'value': 12.31,
        'description': '10m Wind Gust Speed',
        'unit_name': 'metres per second',
        'unit_symbol': 'm/s'
    },
    'visibility': {
        'value': 21201,
        'description': 'Visibility',
        'unit_name': 'metres',
        'unit_symbol': 'm'
    },
    'screenRelativeHumidity': {
        'value': 87.81,
        'description': 'Screen Relative Humidity',
        'unit_name': 'percentage',
        'unit_symbol': '%'
    },
    'mslp': {
        'value': 103080,
        'description': 'Mean Sea Level Pressure',
        'unit_name': 'pascals',
        'unit_symbol': 'Pa'
    },
    'uvIndex': {
        'value': 1,
        'description': 'UV Index',
        'unit_name': 'dimensionless',
        'unit_symbol': '1'
    },
    'significantWeatherCode': {
        'value': 'Cloudy',
        'description': 'Significant Weather Code',
        'unit_name': 'dimensionless',
        'unit_symbol': '1'
    },
    'precipitationRate': {
        'value': 0.0,
        'description': 'Precipitation Rate',
        'unit_name': 'millimetres per hour',
        'unit_symbol': 'mm/h'
    },
    'probOfPrecipitation': {
        'value': 21,
        'description': 'Probability of Precipitation',
        'unit_name': 'percentage',
        'unit_symbol': '%'
    }
}

get_forecast(latitude, longitude, frequency='daily', convert_weather_code=True)

Get a forecast for the provided site

Parameters:

• latitude (float) – Latitude of forecast location

• longitude (float) – Longitude of forecast location

• frequency (string) – Forecast frequency. One of ‘hourly’, ‘three-hourly, ‘daily’

• convert_weather_code (bool) – Convert numeric weather codes to string description

Returns:

class:

Forecast <Forecast> object

Return type:

datapoint.Forecast

class datapoint.Forecast.Forecast(frequency, api_data, convert_weather_code)

Forecast data returned from DataHub

Provides access to forecasts as far ahead as provided by DataHub. See the DataHub documentation for the latest limits on the forecast range. The values of data from DataHub are combined with the unit information and description and returned as a dict.

Basic Usage:

>>> import datapoint
>>> m = datapoint.Manager.Manager(api_key = "blah")
>>> f = m.get_forecast(
            latitude=50,
            longitude=0,
            frequency="hourly",
            convert_weather_code=True,
        )
>>> f.now()
{
    'time': datetime.datetime(2024, 2, 19, 13, 0, tzinfo=datetime.timezone.utc),
    'screenTemperature': {
        'value': 10.09,
        'description': 'Screen Air Temperature',
        'unit_name': 'degrees Celsius',
        'unit_symbol': 'Cel'
    },
    'screenDewPointTemperature': {
        'value': 8.08,
        'description': 'Screen Dew Point Temperature',
        'unit_name': 'degrees Celsius',
        'unit_symbol': 'Cel'
    },
    'feelsLikeTemperature': {
        'value': 6.85,
        'description': 'Feels Like Temperature',
        'unit_name': 'degrees Celsius',
        'unit_symbol': 'Cel'
    },
    'windSpeed10m': {
        'value': 7.57,
        'description': '10m Wind Speed',
        'unit_name': 'metres per second',
        'unit_symbol': 'm/s'
    },
    'windDirectionFrom10m': {
        'value': 263,
        'description': '10m Wind From Direction',
        'unit_name': 'degrees',
        'unit_symbol': 'deg'
    },
    'windGustSpeed10m': {
        'value': 12.31,
        'description': '10m Wind Gust Speed',
        'unit_name': 'metres per second',
        'unit_symbol': 'm/s'
    },
    'visibility': {
        'value': 21201,
        'description': 'Visibility',
        'unit_name': 'metres',
        'unit_symbol': 'm'
    },
    'screenRelativeHumidity': {
        'value': 87.81,
        'description': 'Screen Relative Humidity',
        'unit_name': 'percentage',
        'unit_symbol': '%'
    },
    'mslp': {
        'value': 103080,
        'description': 'Mean Sea Level Pressure',
        'unit_name': 'pascals',
        'unit_symbol': 'Pa'
    },
    'uvIndex': {
        'value': 1,
        'description': 'UV Index',
        'unit_name': 'dimensionless',
        'unit_symbol': '1'
    },
    'significantWeatherCode': {
        'value': 'Cloudy',
        'description': 'Significant Weather Code',
        'unit_name': 'dimensionless',
        'unit_symbol': '1'
    },
    'precipitationRate': {
        'value': 0.0,
        'description': 'Precipitation Rate',
        'unit_name': 'millimetres per hour',
        'unit_symbol': 'mm/h'
    },
    'probOfPrecipitation': {
        'value': 21,
        'description': 'Probability of Precipitation',
        'unit_name': 'percentage',
        'unit_symbol': '%'
    }
}

at_datetime(target)

Return the timestep closest to the target datetime

Parameters:

target (datetime) – Time to get the forecast for

Returns:

Individual forecast timestep

Return type:

dict

data_date

The date the provided forecast was generated.

distance_from_requested_location

The distance of the location of the provided forecast from the requested location

elevation

The elevation of the location of the provided forecast

forecast_latitude

The latitude of the provided forecast.

forecast_longitude

The longitude of the provided forecast.

future(days=0, hours=0, minutes=0)

Return the closest timestep to a date in a given amount of time

Either provide components of the time to the forecast or the total hours or minutes

Providing components:

>>> import datapoint
>>> m = datapoint.Manager(api_key = "blah")
>>> f = m.get_forecast(latitude=50, longitude=0, frequency="hourly")
>>> f.future(days=1, hours=2)

Providing total hours:

>>> import datapoint
>>> m = datapoint.Manager(api_key = "blah")
>>> f = m.get_forecast(latitude=50, longitude=0, frequency="hourly")
>>> f.future(hours=26)

Parameters:

• days (int) – How many days ahead

• hours (int) – How many hours ahead

• minutes (int) – How many minutes ahead

Returns:

Individual forecast timestep

Return type:

dict

name

The name of the location of the provided forecast

now()

Return the closest timestep to the current time

Returns:

Individual forecast timestep

Return type:

dict