December 31st, 2012, 07:06 AM

ValueError: The truth value of an array with more than one element is ambiguous.
Hello, so I have a function:
Code:
disks = array([[ 0.31730234, 0.73662906],
[ 0.54488759, 0.09462212],
[ 0.07500703, 0.36148366],
[ 0.33200281, 0.04550565],
[ 0.3420866 , 0.9425797 ],
[ 0.36115391, 0.16670599],
[ 0.95586938, 0.52599398],
[ 0.13707665, 0.6574444 ],
[ 0.77766138, 0.56875582],
[ 0.79618595, 0.7139309 ]])
def overlap(d1,d2,r): #d1 is disk 1, d2 is disk 2 in array
distance = ((d1[0]d2[0])**2 + (d1[1]d2[1])**2)**0.5
if distance < 2*r:
return True
else:
return False
def touch_left_wall(d1,r):
if d1[0]  r <= 0:
return True
else:
return False
for d1 in disks:
for d2 in disks:
if overlap(d1,d2,r):
if touch_left_wall(d1,r):
clusters.append([d1,d2,True,False])
A cluster is that array: [float, float, boolean, boolean]
I have another function:
Code:
def joincluster(c1,c2):
if any(x in c1 for x in c2):
c1 = c1 + c2
Where c1 and c2 are clusters. For some reason, everytime I try and run this I get this error:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Anyone know why? I've tried a lot of things, like making the numpy arrays lists and such but nothing is working.
December 31st, 2012, 08:49 AM

Please post sufficient information to duplicate the problem.
"A cluster is that array: [float, float, boolean, boolean]"
array.array does not store mixed type.
numpy.array does not store mixed type.
You've done (equivalently)
from numpy import *
Code:
>>> from numpy import *
>>> A=[pi,exp(1),True,False] # float, float, Boolean, Boolean
>>> any(x in A for x in A)
True
>>>
I'd compute distance like this:
>>> A=disks[0]disks[1]
>>> A.dot(A)
0.46396795702572596
>>> sqrt(A.dot(A))
0.68115193387799022
(Whereas you wrote out the indexes. Why bother with numpy if you subvert it?)
I find "if true return true else return false" repulsive.
Code:
def overlap(d1,d2,r): #d1 is disk 1, d2 is disk 2 in array
v = d1[0]d2[0]
return v.dot(v) < 4*r*r
def touch_left_wall(d1,r):
return d1[0] <= r
[code]
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