def findExcludedIndices(exclusions, users):
#print(exclusions, users)
indices = np.array(())
for u in np.unique(users):
if u in exclusions:
uIndices = getIndicesFromUser(users, u)
#print(uIndices)
indices = np.append(indices, uIndices)
#print('indices', indices)
return indices
def exclusionList(users, flags, cats=None, minU=8):
excluded = []
flags = np.array(flags)
for u in np.unique(users):
myUserIndices = getIndicesFromUser(users, u)
# print(myUserIndices)
# print(np.array(users)[myUserIndices])
oneCount = 0
pot = 0
score = 0
#print(myUserIndices)
for i in myUserIndices:
#print(i)
if cats == None or cats[i] != 'Language':
if flags[i] == 1:
oneCount += 1
pot = pot + 1
if pot > 0:
score = oneCount / pot
if score > .8 and pot > minU:
excluded.append(u)
print('excl', excluded, 'users', np.unique(users))
return excluded