simple imputer

imp = SimpleImputer(missing_values=np.nan, strategy='constant', fill_value=-9999)
imputed = imp.fit_transform(df2.loc[:, ['age', 'measurement']].values)
pd.DataFrame(imputed, columns=['age', 'measurement'])

• Imputer를 활용하여 결측치 채워넣기 (특정값)

  imp = SimpleImputer(missing_values=np.nan, strategy='mean')
  imputed = imp.fit_transform(df2.loc[:, ['age', 'measurement']].values)
  pd.DataFrame(imputed, columns=['age', 'measurement'])
  

• Imputer를 활용하여 결측치 채워넣기 (평균)

  imp = SimpleImputer(missing_values=np.nan, strategy='most_frequent')
  imputed = imp.fit_transform(df2.loc[:, ['gender', 'education']].values)
  pd.DataFrame(imputed, columns=['gender', 'education'])
  

• 최빈값(문자열) 사용