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isaacarroyov/data_preprocessing.py

Last active November 20, 2020 02:50
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relevant code for the preprocessing
Raw
data_preprocessing.py
#select the relevant variables
variables = np.array( [ 'HOMICIDES', 'CAR_THEFT',
'EXTORTION', 'STREET_TRANSPORT_THEFT' ] )
#Here we standardize a dataset along any axis.
#Center to the mean and component wise scale to unit variance.
from sklearn import preprocessing
df_standardized = preprocessing.scale( df[variables] )
df_standardized = pd.DataFrame( df_standardized )
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