CODEWITHSUNDEEP
pythonscipydistance
Martan
Martan

Reputation: 605

calculating euclidean distance using scipy giving unexpected results

I want to calculate euclidean distance between X and Y, where X is not static. So, X is define by combination of range.:

a= np.arange(0.2,0.41,0.1)
b= np.arange(2,8,1)
c= np.arange(40,61,5)
d= np.arange(40,61,5)
e= np.arange(0,11,5)
f= np.arange(25,71,5)

from itertools import product
X = list(product(a,b,c,d,e,f))
X = np.around(X,2)

from scipy.spatial.distance import euclidean
dis = []
for x in np.nditer(X):
    d = euclidean(x,[0.2,2,40,40,0,25]) #Inset Y here
    dis.append(d)

min(dis)

Since in this case, to test if everything was working as I wanted, I input Y which is one of possible value of X. I expected my minimum distance to be 0, however in this case, it was not so (~47).

Upvotes: 2

Views: 71

Answers (1)

Kyle Safran
Kyle Safran

Reputation: 463

The problem is that you're iterating over every individual number in X, rather than just iterating over the rows. Just remove the call to np.nditer(X) and iterate over X directly

for x in np.nditer(X):

should just be 

for x in X:

Upvotes: 2

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