Answers for "pandas standardscaler column"

standardscaler into df data frame pandas

scaled_features = StandardScaler().fit_transform(df.values)
scaled_features_df = pd.DataFrame(scaled_features, index=df.index, columns=df.columns)

python function to scale selected features in a dataframe pandas

# make a copy of dataframe
scaled_features = df.copy()

col_names = ['co_1', 'col_2', 'col_3', 'col_4']
features = scaled_features[col_names]

# Use scaler of choice; here Standard scaler is used
scaler = StandardScaler().fit(features.values)
features = scaler.transform(features.values)

scaled_features[col_names] = features