This may help in IGD calculation

def calculateigd(truepf, pf): """Calculate IGD value for truepf and pf Parameters ---------- truepf: "true" pf value pf: estimated pf value Returns ------- igd: IGD value """ Y = scipy.spatial.distance.cdist(truepf, pf, 'euclidean') mindist = np.min(Y, axis=1) igd = np.mean(mindist) return igd

Here is another implementation

please see the attached file for both of them

def IGD(truePF, PF):

distEuclidean = []

sumMin = 0

for i in truePF:

for x in PF:

d = distance.euclidean(i, x)

distEuclidean.append(d)

distEuclidean.sort(reverse=True)

sumMin += distEuclidean.pop()

distEuclidean.clear()

igdVal = sumMin / len(truePF)

return igdVal

Thank you so much Ahmad Alhindi . This was really helpful