In [1]:

    

import numpy as np


    

In [2]:

    

print(np.__version__)


    

    




1.17.3

In [3]:

    

a_bool = np.array([True, True, False, False])
b_bool = np.array([True, False, True, False])


    

In [4]:

    

print(a_bool.dtype)


    

    




bool

In [5]:

    

print(b_bool.dtype)


    

    




bool

In [6]:

    

print(a_bool & b_bool)


    

    




[ True False False False]

In [7]:

    

print(a_bool | b_bool)


    

    




[ True  True  True False]

In [8]:

    

print(a_bool ^ b_bool)


    

    




[False  True  True False]

In [9]:

    

print(~a_bool)


    

    




[False False  True  True]

In [10]:

    

print(type(a_bool & b_bool))


    

    




<class 'numpy.ndarray'>

In [11]:

    

print((a_bool & b_bool).dtype)


    

    




bool

In [12]:

    

# print(a_bool and b_bool)
# ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


    

In [13]:

    

print(np.logical_and(a_bool, b_bool))


    

    




[ True False False False]

In [14]:

    

print(np.logical_or(a_bool, b_bool))


    

    




[ True  True  True False]

In [15]:

    

print(np.logical_xor(a_bool, b_bool))


    

    




[False  True  True False]

In [16]:

    

print(np.logical_not(a_bool))


    

    




[False False  True  True]

In [17]:

    

c_int = np.arange(4)
print(c_int)


    

    




[0 1 2 3]

In [18]:

    

print(np.logical_not(c_int))


    

    




[ True False False False]

In [19]:

    

d_int = c_int + 4
print(d_int)


    

    




[4 5 6 7]

In [20]:

    

print(np.logical_not(d_int))


    

    




[False False False False]

In [21]:

    

print(np.logical_and(c_int, d_int))


    

    




[False  True  True  True]

In [22]:

    

print(c_int & d_int)


    

    




[0 1 2 3]

In [23]:

    

a_bool_2d = np.array([[True, True, False, False], [False, False, True, True]])
print(a_bool_2d)


    

    




[[ True  True False False]
 [False False  True  True]]

In [24]:

    

print(a_bool_2d & b_bool)


    

    




[[ True False False False]
 [False False  True False]]

In [25]:

    

print(np.logical_and(a_bool_2d, a_bool))


    

    




[[ True  True False False]
 [False False False False]]

In [26]:

    

print(a_bool & True)


    

    




[ True  True False False]

In [27]:

    

print(np.logical_and(a_bool, True))


    

    




[ True  True False False]

In [28]:

    

print(c_int)


    

    




[0 1 2 3]

In [29]:

    

print(c_int < 2)


    

    




[ True  True False False]

In [30]:

    

print(c_int % 2 == 0)


    

    




[ True False  True False]

In [31]:

    

print((c_int < 2) & (c_int % 2 == 0))


    

    




[ True False False False]

In [32]:

    

# print(c_int < 2 & c_int % 2 == 0)
# ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


    

In [33]:

    

# print(c_int < (2 & (c_int % 2)) == 0)
# ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


    

In [34]:

    

print(np.logical_and(c_int < 2, c_int % 2 == 0))


    

    




[ True False False False]