n.py

#%%
import pandas as pd 
import numpy as np
from matplotlib import pyplot as plt
from scipy.cluster.hierarchy import dendrogram, linkage
from sklearn import datasets
import seaborn as sns
%matplotlib inline
sns.set(style="darkgrid")
#%%
df = pd.read_csv("./pec1/small.csv")
#%%
features = [i for i in df.columns if i not in ["CLASS"]]
#%%
new_df = (df[features] - df[features].mean()) / df[features].std(ddof=0)
#%%
new_df
#%%