text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('../input/drug200.csv', delimiter=',')

df.dropna

from sklearn.tree import DecisionTreeClassifier
X = df[['Age', 'Sex', 'BP', 'Cholesterol', 'Na_to_K']].values
X

X[:5]