pca explained variance

#PCA
pca = PCA(n_components = X_train_ss.shape[1])
pca.fit_transform(X_train_ss)

#Calculating Variance
percent_variance_explained = pca.explained_variance_/(np.sum(pca.explained_variance_))
combined_variance_explained = np.cumsum(percent_variance_explained)

#Plotting Variance
plt.plot(combined_variance_explained)
plt.grid()
plt.xlabel("Number of Components")
plt.ylabel("Percentage explained by Variance")
plt.show()