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] = featurespython loop through column in dataframe
# Iterate over two given columns only from the dataframe
for column in empDfObj[['Name', 'City']]:
# Select column contents by column name using [] operator
columnSeriesObj = empDfObj[column]
print('Colunm Name : ', column)
print('Column Contents : ', columnSeriesObj.values)Copyright © 2021 Codeinu
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