DataFrame Numeric Column Normalization with StandardScaler

This function takes a pandas DataFrame as input, normalizes the numeric columns using StandardScaler from sklearn, and returns the original DataFrame with the normalized numeric columns concatenated.

Technology Stack : pandas, numpy, sklearn.preprocessing.StandardScaler

Code Type : Function

Code Difficulty : Intermediate

                
                    
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler

def normalize_dataframe(df):
    """
    Normalize the numeric columns of a dataframe using StandardScaler from sklearn.
    """
    numeric_df = df.select_dtypes(include=[np.number])
    scaler = StandardScaler()
    scaled_df = pd.DataFrame(scaler.fit_transform(numeric_df), columns=numeric_df.columns)
    return pd.concat([df[~df.columns.isin(numeric_df.columns)], scaled_df], axis=1)