Examples¶
Library examples¶
Library comes with few defined toy datasets that you can use if you don’t have any of your data handy.
from data_dashboard.examples import iris, boston, diabetes, digits, wine, breast_cancer
X, y, descriptions = iris() # multiclass
X, y, descriptions = boston() # regression
X, y, descriptions = diabetes() # regression
X, y, descriptions = digits() # multiclass
X, y, descriptions = wine() # multiclass
X, y, descriptions = breast_cancer() # classification
Documentation¶
- data_dashboard.examples.examples.iris()¶
Return iris dataset with custom descriptions.
- Returns
X, y, descriptions
- Return type
tuple
- data_dashboard.examples.examples.boston()¶
Return boston dataset with custom descriptions.
- Returns
X, y, descriptions
- Return type
tuple
- data_dashboard.examples.examples.diabetes()¶
Return diabetes dataset with custom descriptions.
- Returns
X, y, descriptions
- Return type
tuple
- data_dashboard.examples.examples.digits(n_class=10)¶
Return digits dataset. Descriptions are None.
- Parameters
n_class (int, optional) – number of classes to return, defaults to 10
- Returns
X, y, descriptions
- Return type
tuple
- data_dashboard.examples.examples.wine()¶
Return wine dataset. Descriptions are None.
- Returns
X, y, descriptions
- Return type
tuple
- data_dashboard.examples.examples.breast_cancer()¶
Return breast cancer dataset. Descriptions are None.
- Returns
X, y, descriptions
- Return type
tuple