%matplotlib inline

import matplotlib.pyplot as plt
import seaborn as sns

sns.set(style="ticks")
sns.set_palette(palette='Set1')

fig_1 = plt.figure(figsize=(18,6))

sns.set(style="ticks")
sns.set_palette(palette='Set1')

sns.regplot(x=pca_vectors[:,0],y=df_y, label='Principal Component 1',x_bins=10)
sns.regplot(x=pca_vectors[:,1],y=df_y, label='Principal Component 2',x_bins=10)
sns.regplot(x=pca_vectors[:,2],y=df_y, label='Principal Component 3',x_bins=10)

plt.title('Most Important Principal Components vs Reference Value')
plt.xlabel('Principal Component Value')
plt.ylabel('Reference Value')
plt.legend()
plt.show()