In [92]: df
Out[92]:
a b c d
A -0.488816 0.863769 4.325608 -4.721202
B -11.937097 2.993993 -12.916784 -1.086236
C -5.569493 4.672679 -2.168464 -9.315900
D 8.892368 0.932785 4.535396 0.598124
In [93]: df_norm = (df - df.mean()) / (df.max() - df.min())
In [94]: df_norm
Out[94]:
a b c d
A 0.085789 -0.394348 0.337016 -0.109935
B -0.463830 0.164926 -0.650963 0.256714
C -0.158129 0.605652 -0.035090 -0.573389
D 0.536170 -0.376229 0.349037 0.426611
In [95]: df_norm.mean()
Out[95]:
a -2.081668e-17
b 4.857226e-17
c 1.734723e-17
d -1.040834e-17
In [96]: df_norm.max() - df_norm.min()
Out[96]:
a 1
b 1
c 1
d 1
标准化大熊猫中的数据
标准化大熊猫中的数据
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