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# Load and return the breast cancer wisconsin dataset (classification).
# The breast cancer dataset is a classic and very easy binary classification dataset.
import pandas as pd
from sklearn.datasets import load_breast_cancer

# set data by role
dataset = load_breast_cancer()
X = pd.DataFrame(dataset.data, columns=dataset.feature_names)
y = pd.Series(dataset.target, name='y')

# check the shape
print('--------------------------------------------------')
print('X shape: (%i,%i)' %X.shape)
print('--------------------------------------------------')
print(y.value_counts())
print('--------------------------------------------------')
print('y=0 means Marignant(悪性),y=1 means Benign(良性):')
print('--------------------------------------------------')
X.join(y).head()

X.describe()