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)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] = featuresCopyright © 2021 Codeinu
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