import matplotlib.pyplot as plt
data = np.loadtxt(open("Line_Loss_data2.csv", "rb"), delimiter=",", skiprows=0)
Data = data[0:1000, 0:2]
ADLabel = data[0:1000, 2]
clf = LocalOutlierFactor(n_neighbors=20)
RE = clf.fit_predict(Data)
plt.figure()
xx, yy = np.meshgrid(np.linspace(3, 10, 70), np.linspace(0, 2.5, 50))
clf.novelty = True
Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])
Z = Z.reshape(xx.shape)
#plt.contourf(xx, yy, Z, camp=plt.cm.Blues_r)
plt.contourf(xx, yy, Z, levels=np.linspace(Z.min(), 0, 7), cmap=plt.cm.PuBu)
r1 = plt.scatter(Data[np.argwhere(RE == -1), 0, ],
Data[np.argwhere(RE == -1), 1],
c='white',
s=200,
edgecolor='red')
b1 = plt.scatter(Data[np.argwhere(ADLabel == 0), 0],
Data[np.argwhere(ADLabel == 0), 1],
c='white',
s=20,
edgecolor='k')
