python运行实例（python_ml_scale）-搜寻教程库

代码示例：（标识：python_ml_scale）

python_ml_scale.py

import pandas
from sklearn import linear_model
from sklearn.preprocessing import StandardScaler
scale = StandardScaler()

df = pandas.read_csv("cars2.csv")

X = df[['Weight', 'Volume']]

scaledX = scale.fit_transform(X)

print(scaledX)

运行结果：

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C:\Users\My Name>python python_ml_scale.py [[-2.10389253&nbsp;-1.59336644] &nbsp;[-0.55407235&nbsp;-1.07190106] &nbsp;[-1.52166278&nbsp;-1.59336644] &nbsp;[-1.78973979&nbsp;-1.85409913] &nbsp;[-0.63784641&nbsp;-0.28970299] &nbsp;[-1.52166278&nbsp;-1.59336644] &nbsp;[-0.76769621&nbsp;-0.55043568] &nbsp;[&nbsp;0.3046118&nbsp;&nbsp;-0.28970299] &nbsp;[-0.7551301&nbsp;&nbsp;-0.28970299] &nbsp;[-0.59595938&nbsp;-0.0289703&nbsp;] &nbsp;[-1.30803892&nbsp;-1.33263375] &nbsp;[-1.26615189&nbsp;-0.81116837] &nbsp;[-0.7551301&nbsp;&nbsp;-1.59336644] &nbsp;[-0.16871166&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.14125238&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.15800719&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.3046118&nbsp;&nbsp;-0.0289703&nbsp;] &nbsp;[-0.05142797&nbsp;&nbsp;1.53542584] &nbsp;[-0.72580918&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.14962979&nbsp;&nbsp;1.01396046] &nbsp;[&nbsp;1.2219378&nbsp;&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.5685001&nbsp;&nbsp;&nbsp;1.01396046] &nbsp;[&nbsp;0.3046118&nbsp;&nbsp;&nbsp;1.27469315] &nbsp;[&nbsp;0.51404696&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.51404696&nbsp;&nbsp;1.01396046] &nbsp;[&nbsp;0.72348212&nbsp;-0.28970299] &nbsp;[&nbsp;0.8281997&nbsp;&nbsp;&nbsp;1.01396046] &nbsp;[&nbsp;1.81254495&nbsp;&nbsp;1.01396046] &nbsp;[&nbsp;0.96642691&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;1.72877089&nbsp;&nbsp;1.01396046] &nbsp;[&nbsp;1.30990057&nbsp;&nbsp;1.27469315] &nbsp;[&nbsp;1.90050772&nbsp;&nbsp;1.01396046] &nbsp;[-0.23991961&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.40932938&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.47215993&nbsp;-0.0289703&nbsp;] &nbsp;[&nbsp;0.4302729&nbsp;&nbsp;&nbsp;2.31762392]] </div>
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