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- # Importing the dataset
- data = pd.read_csv('clean_medrec.csv', delimiter=";")
- # Label encoder
- le = LabelEncoder()
- df1 = pd.DataFrame(data, columns=['gender','district_name'])
- df2 = pd.DataFrame(data, columns=['code','age_category'])
- data1 = data['code']
- data2 = data['age_category']
- x1 = le.fit_transform(data1)
- x2 = le.fit_transform(data2)
- df2 = pd.DataFrame(x1)
- df2.columns = ['code']
- df3 = pd.DataFrame(x2)
- df3.columns = ['age_category']
- df_result = pd.concat([df1, df2, df3], axis=1)
- print(df_result)
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