import numpy as np
import pandas as pd
columns = ['A']
df = pd.DataFrame(np.random.randint(0, 100, size=(100, 1)), columns=columns)

# Normalization
df = (df - df.mean()) / df.std()

Operator "-" not supported for types "DataFrame" and "Series[Dtype@mean]"
Operator "-" not supported for types "DataFrame" and "Series[Dtype@mean]"
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# Denormalization
epsilon = 1e-100
coefficients = pd.DataFrame()
coefficients['mean'] = df.loc[:, columns].mean()
coefficients['std'] = df.loc[:, columns].std() + epsilon
coefficients = coefficients.T

column = 'A'
std = coefficients.loc['std', column]
mean = coefficients.loc['mean', column]

df[column] = X[column] * std + mean

Operator "*" not supported for types "Series[Dtype@__getitem__]" and "Scalar"
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