Built-in datasets

fleur has a few datasets that you can load easily.

fleur.datasets.load_iris(backend='pandas', **kwargs)

Load the iris dataset.

Parameters:

Name	Type	Description	Default
backend	str	The output format of the dataframe. Note that, for example, if you set backend="polars", you must have polars installed. Must be one of the following: "pandas", "polars", "pyarrow", "modin", "cudf". Default to "pandas".	'pandas'
kwargs	Optional[Dict]	Additional arguments passed to narwhals.read_csv().	{}

Returns:

Type	Description
IntoDataFrame	The iris dataset.

fleur.datasets.load_mtcars(backend='pandas', **kwargs)

Load the mtcars dataset.

Parameters:

Name	Type	Description	Default
backend	str	The output format of the dataframe. Note that, for example, if you set backend="polars", you must have polars installed. Must be one of the following: "pandas", "polars", "pyarrow", "modin", "cudf". Default to "pandas".	'pandas'
kwargs	Optional[Dict]	Additional arguments passed to narwhals.read_csv().	{}

Returns:

Type	Description
IntoDataFrame	The mtcars dataset.