Boolean operation for 2 lists
0
I would like to get a result of OR between in two list like
a = [0,0,1,1]
b = [0,1,0,1]
output = [0,1,1,1]
I have tried output = a or b but the answer isn't correct
python python-2.7
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
add a comment |
0
I would like to get a result of OR between in two list like
a = [0,0,1,1]
b = [0,1,0,1]
output = [0,1,1,1]
I have tried output = a or b but the answer isn't correct
python python-2.7
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
add a comment |
0
0
0
I would like to get a result of OR between in two list like
a = [0,0,1,1]
b = [0,1,0,1]
output = [0,1,1,1]
I have tried output = a or b but the answer isn't correct
python python-2.7
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
I would like to get a result of OR between in two list like
a = [0,0,1,1]
b = [0,1,0,1]
output = [0,1,1,1]
I have tried output = a or b but the answer isn't correct
python python-2.7
python python-2.7
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
edited Nov 15 '18 at 20:47
blhsing
39.2k41742
39.2k41742
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
asked Nov 15 '18 at 20:37
Thanat TothongThanat Tothong
1
1
add a comment |
add a comment |
4 Answers
4
active
oldest
votes
1
You can map a and b to operator.or_:
from operator import or_
output = map(or_, a, b)
output becomes:
[0, 1, 1, 1]
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
add a comment |
0
output = map(lambda x, y: bool(x or y), a, b)
Result:
output == [False, True, True, True]
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
add a comment |
0
note that or or the binary operator | could be used here:
a = [0,0,1,1]
b = [0,1,0,1]
a_or_b = [aa | bb for aa, bb in zip(a, b)]
# this also works:
# a_or_b = [aa or bb for aa, bb in zip(a, b)]
print(a_or_b) # [0, 1, 1, 1]
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
add a comment |
0
You can use the 'numpy' library and take the maximum over the corresponding axis:
import numpy as np
a = np.array([[0,0,1,1], [0,1,0,1]])
np.amax(a, axis=0)
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
add a comment |
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
You can map a and b to operator.or_:
from operator import or_
output = map(or_, a, b)
output becomes:
[0, 1, 1, 1]
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
add a comment |
1
You can map a and b to operator.or_:
from operator import or_
output = map(or_, a, b)
output becomes:
[0, 1, 1, 1]
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
add a comment |
1
1
1
You can map a and b to operator.or_:
from operator import or_
output = map(or_, a, b)
output becomes:
[0, 1, 1, 1]
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
You can map a and b to operator.or_:
from operator import or_
output = map(or_, a, b)
output becomes:
[0, 1, 1, 1]
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
answered Nov 15 '18 at 20:44
blhsingblhsing
39.2k41742
39.2k41742
add a comment |
add a comment |
0
output = map(lambda x, y: bool(x or y), a, b)
Result:
output == [False, True, True, True]
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
add a comment |
0
output = map(lambda x, y: bool(x or y), a, b)
Result:
output == [False, True, True, True]
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
add a comment |
0
0
0
output = map(lambda x, y: bool(x or y), a, b)
Result:
output == [False, True, True, True]
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
output = map(lambda x, y: bool(x or y), a, b)
Result:
output == [False, True, True, True]
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
answered Nov 15 '18 at 20:43
ForceBruForceBru
20.5k83354
20.5k83354
add a comment |
add a comment |
0
note that or or the binary operator | could be used here:
a = [0,0,1,1]
b = [0,1,0,1]
a_or_b = [aa | bb for aa, bb in zip(a, b)]
# this also works:
# a_or_b = [aa or bb for aa, bb in zip(a, b)]
print(a_or_b) # [0, 1, 1, 1]
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
add a comment |
0
note that or or the binary operator | could be used here:
a = [0,0,1,1]
b = [0,1,0,1]
a_or_b = [aa | bb for aa, bb in zip(a, b)]
# this also works:
# a_or_b = [aa or bb for aa, bb in zip(a, b)]
print(a_or_b) # [0, 1, 1, 1]
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
add a comment |
0
0
0
note that or or the binary operator | could be used here:
a = [0,0,1,1]
b = [0,1,0,1]
a_or_b = [aa | bb for aa, bb in zip(a, b)]
# this also works:
# a_or_b = [aa or bb for aa, bb in zip(a, b)]
print(a_or_b) # [0, 1, 1, 1]
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
note that or or the binary operator | could be used here:
a = [0,0,1,1]
b = [0,1,0,1]
a_or_b = [aa | bb for aa, bb in zip(a, b)]
# this also works:
# a_or_b = [aa or bb for aa, bb in zip(a, b)]
print(a_or_b) # [0, 1, 1, 1]
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
answered Nov 15 '18 at 20:44
hiro protagonisthiro protagonist
19.4k64162
19.4k64162
add a comment |
add a comment |
0
You can use the 'numpy' library and take the maximum over the corresponding axis:
import numpy as np
a = np.array([[0,0,1,1], [0,1,0,1]])
np.amax(a, axis=0)
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
add a comment |
0
You can use the 'numpy' library and take the maximum over the corresponding axis:
import numpy as np
a = np.array([[0,0,1,1], [0,1,0,1]])
np.amax(a, axis=0)
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
add a comment |
0
0
0
You can use the 'numpy' library and take the maximum over the corresponding axis:
import numpy as np
a = np.array([[0,0,1,1], [0,1,0,1]])
np.amax(a, axis=0)
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
You can use the 'numpy' library and take the maximum over the corresponding axis:
import numpy as np
a = np.array([[0,0,1,1], [0,1,0,1]])
np.amax(a, axis=0)
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
answered Nov 15 '18 at 20:44
DavidPMDavidPM
33529
33529
add a comment |
add a comment |
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