plotDBSCAN.py

from sklearn.cluster import DBSCAN 

db_default = DBSCAN(eps = 0.008, min_samples = 10).fit(df_principal) 
labels = db_default.labels_ 

colours = {} 
colours[0] = 'r'
colours[1] = 'g'
colours[2] = 'b'
colours[3] = 'y'
colours[4] = 'c'
colours[5] = 'm'
colours[6] = 'tab:pink'
colours[7] = 'tab:orange'
colours[8] = 'tab:olive'
colours[9] = 'tab:brown'
colours[-1] = 'k'

cvec = [colours[label] for label in labels] 

plt.scatter(df_principal['P1'], df_principal['P2'], c = cvec) 
  
plt.show()