fetch_aemet#
- skfda.datasets.fetch_aemet(*, return_X_y: typing_extensions.Literal[False] = False, as_frame: bool = False) Bunch [source]#
- skfda.datasets.fetch_aemet(*, return_X_y: typing_extensions.Literal[True], as_frame: typing_extensions.Literal[False] = False) Tuple[FDataGrid, None]
- skfda.datasets.fetch_aemet(*, return_X_y: typing_extensions.Literal[True], as_frame: typing_extensions.Literal[True]) Tuple[DataFrame, None]
Load the Spanish Weather dataset.
The data is obtained from the R package ‘fda.usc’ from CRAN.
Series of daily summaries of 73 spanish weather stations selected for the period 1980-2009. The dataset contains the geographic information of each station and the average for the period 1980-2009 of daily temperature, daily precipitation and daily wind speed.
- Source:
Meteorological State Agency of Spain (AEMET). (2009). Meteorological data of Spanish weather stations between years 1980 and 2009. [dataset]. http://www.aemet.es/
The data were obtained from the FTP of AEMET in 2009.
- Parameters:
return_X_y – Return only the data and target as a tuple.
as_frame – Return the data in a Pandas Dataframe or Series.
Examples using skfda.datasets.fetch_aemet
#
Meteorological data: data visualization, clustering, and functional PCA