[Scaler] StandardScaler, MinMaxScaler

정규화

# 정규화

def get_numeric_sc(df):
	from sklearn.preprocessing import StandardScaler, MinMaxScaler
    
    col_sdsc = ['column1', 'column2', 'column3']
    col_mmsc = ['column1']
        
    sd_sc = StandardScaler()
    mm_sc = MinMaxScaler()
    
    for column in col_sdsc:
        sd_sc.fit(df[[column]])
        new_column = f'{column}_sdsc'
        df[[new_column]] = sd_sc.transform(df[[column]])
    
    for column1 in col_mmsc:
        mm_sc.fit(df[[column1]])
        new_column1 = f'{column1}_mmsc'
        df[[new_column1]] = mm_sc.transform(df[[column1]])
    
    return df

get_numeric_sc(df)