text_plain_output_1.png
from sklearn.preprocessing import LabelEncoder, OneHotEncoder

import pandas as pd

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

data = pd.read_csv('../input/disease/Disease.csv')

labelencoder = LabelEncoder()
data['Disease1'] = labelencoder.fit_transform(data['Disease'])

data = data.drop(['Disease'], axis=1)

data.Disease1.value_counts()