added small feature to PCA slides

doc/src/DimRed/PCAcancer.py

@@ -8,22 +8,6 @@ import pandas as pd
 
 cancerpd = pd.DataFrame(cancer.data, columns=cancer.feature_names)
 
-fig, axes = plt.subplots(15,2,figsize=(10,20))
-malignant = cancer.data[cancer.target == 0]
-benign = cancer.data[cancer.target == 1]
-ax = axes.ravel()
-
-for i in range(30):
-    _, bins = np.histogram(cancer.data[:,i], bins =50)
-    ax[i].hist(malignant[:,i], bins = bins, alpha = 0.5)
-    ax[i].hist(benign[:,i], bins = bins, alpha = 0.5)
-    ax[i].set_title(cancer.feature_names[i])
-    ax[i].set_yticks(())
-ax[0].set_xlabel("Feature magnitude")
-ax[0].set_ylabel("Frequency")
-ax[0].legend(["Malignant", "Benign"], loc ="best")
-fig.tight_layout()
-plt.show()
 
 import seaborn as sns
 correlation_matrix = cancerpd.corr().round(1)
@@ -31,6 +15,9 @@ correlation_matrix = cancerpd.corr().round(1)
 # annot = True to print the values inside the square
 sns.heatmap(data=correlation_matrix, annot=True)
 plt.show()
+EigValues, EigVectors = np.linalg.eig(correlation_matrix)
+print(EigValues)
+
 X_train, X_test, y_train, y_test = train_test_split(cancer.data,cancer.target,random_state=0)
 print(X_train.shape)
 print(X_test.shape)