Each row represents a flower. https://en.wikipedia.org/wiki/Iris_flower_data_set Parameters ---------- return_type: {'pandas', 'polars', 'pyarrow', 'modin', 'cudf'} Type of the resulting dataframe Returns ------- Dataframe of `return_type` type Dat
(return_type="pandas")
| 122 | |
| 123 | |
| 124 | def iris(return_type="pandas"): |
| 125 | """ |
| 126 | Each row represents a flower. |
| 127 | |
| 128 | https://en.wikipedia.org/wiki/Iris_flower_data_set |
| 129 | |
| 130 | Parameters |
| 131 | ---------- |
| 132 | return_type: {'pandas', 'polars', 'pyarrow', 'modin', 'cudf'} |
| 133 | Type of the resulting dataframe |
| 134 | |
| 135 | Returns |
| 136 | ------- |
| 137 | Dataframe of `return_type` type |
| 138 | Dataframe with 150 rows and the following columns: |
| 139 | `['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species', 'species_id']`. |
| 140 | """ |
| 141 | return _get_dataset("iris", return_type=return_type) |
| 142 | |
| 143 | |
| 144 | def wind(return_type="pandas"): |
nothing calls this directly
no test coverage detected