JR
Size: a a a
JR
K
K
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AB
AB
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EZ
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ТС
VC
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VC
max_not_inf = data_df[data_df != np.inf].max()
def clamp_max(x):
x[x == np.inf] = max_not_inf[x.name]
return x
data_df = data_df.apply(clamp_max)
eps = 1e-10
data_df = np.log10(data_df+eps)
self.data_mean = data_df.mean()
self.data_std = data_df.std()
data_df = (data_df-data_df.mean())/data_df.std()