How to use sklearn fit_transform with pandas and return dataframe instead of numpy array?

Question

I want to apply scaling (using StandardScaler() from sklearn.preprocessing) to a pandas dataframe. The following code returns a numpy array, so I lose all the column names a

Answer 1

import pandas as pd    
from sklearn.preprocessing import StandardScaler

df = pd.read_csv('your file here')
ss = StandardScaler()
df_scaled = pd.DataFrame(ss.fit_transform(df),columns = df.columns)

The df_scaled will be the 'same' dataframe, only now with the scaled values