List object has no attribute columns

Question

I am trying to perform min-max scaling on the simple dataset

data2 = [10, 20, 35, 70, 100]

The following code is giving me an error

AttributeError: 'list' object has no attribute 'columns'

def min_max_scaling(df):
df_norm = df.copy()
for col in df_norm.columns:
    df_norm[col] = (df_norm[col] - df_norm[col].min()) / (df_norm[col].max() - df_norm[col].min())
return df_norm

df_normalized = min_max_scaling(data3)

df_normalized

Answer 1

Your min_max_scaling function is expecting a pandas dataframe instance but you are passing it a List. Changing the code as follows should work.

import pandas as pd

def min_max_scaling(df):
    df_norm = df.copy()
    for col in df_norm.columns:
        df_norm[col] = (df_norm[col] - df_norm[col].min()) / (df_norm[col].max() - df_norm[col].min())
    
    return df_norm

data2 = [10, 20, 35, 70, 100]

data2 = pd.DataFrame(data2)

df_normalized = min_max_scaling(data2)

print(df_normalized)