import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler

#---------- Reading input
df = pd.read_csv("test.csv", index_col=[0])
print( df )

features = df.columns
print( features )

x = df.loc[:, features].values
print( x )

targets = df.index
print( targets )

#---------- Do PCA
x = StandardScaler().fit_transform(x)
pca = PCA(n_components=2)
principalComponents = pca.fit_transform(x)
print( principalComponents )