preprocessing.curate_data.curate_weather

preprocessing.curate_data.curate_weather(weather_df, data, forecast_horizon)

Checks if the weather dataframe has the correct shape.

Parameters

Name	Type	Description	Default
weather_df	pd.DataFrame	DataFrame containing weather information.	required
data	pd.DataFrame	The main dataset.	required
forecast_horizon	int	The forecast horizon in hours.	required

Examples

>>> from spotforecast2_safe.data.fetch_data import fetch_data, fetch_weather_data
>>> from spotforecast2_safe.preprocessing.curate_data import get_start_end, curate_weather
>>> data = fetch_data()
>>> START, END, COV_START, COV_END = get_start_end(
...     data=data,
...     forecast_horizon=24,
...     verbose=False
... )
>>> weather_df = fetch_weather_data(
...     cov_start=COV_START,
...     cov_end=COV_END,
...     tz='UTC',
...     freq='h',
...     latitude=51.5136,
...     longitude=7.4653
... )
>>> FORECAST_HORIZON = 24
>>> curate_weather(weather_df, data, forecast_horizon=FORECAST_HORIZON)

Raises

Name	Type	Description
	AssertionError	If the weather dataframe does not have the correct number of rows.