In [1]:

    

import numpy as np


    

In [2]:

    

a = np.arange(3)
print(a)


    

    




[0 1 2]

In [3]:

    

b = np.arange(3)
print(b)


    

    




[0 1 2]

In [4]:

    

c = np.arange(1, 4)
print(c)


    

    




[1 2 3]

In [5]:

    

print(np.all(a == b))


    

    




True

In [6]:

    

print(np.all(a == c))


    

    




False

In [7]:

    

print(np.array_equal(a, b))


    

    




True

In [8]:

    

print(np.array_equal(a, c))


    

    




False

In [9]:

    

print(np.array_equiv(a, b))


    

    




True

In [10]:

    

print(np.array_equiv(a, c))


    

    




False

In [11]:

    

b_f = np.arange(3, dtype=float)
print(b_f)


    

    




[0. 1. 2.]

In [12]:

    

print(np.array_equal(a, b_f))


    

    




True

In [13]:

    

print(np.array_equiv(a, b_f))


    

    




True

In [14]:

    

ones = np.ones(3)
print(ones)


    

    




[1. 1. 1.]

In [15]:

    

print(np.array_equal(ones, 1))


    

    




False

In [16]:

    

print(np.array_equiv(ones, 1))


    

    




True

In [17]:

    

a_2d = np.array([[0, 1, 2], [0, 1, 2], [0, 1, 2]])
print(a_2d)


    

    




[[0 1 2]
 [0 1 2]
 [0 1 2]]

In [18]:

    

print(np.array_equal(a_2d, b))


    

    




False

In [19]:

    

print(np.array_equiv(a_2d, b))


    

    




True

In [20]:

    

a_nan = np.array([np.nan, 1, 2])
print(a_nan)


    

    




[nan  1.  2.]

In [21]:

    

b_nan = np.array([np.nan, 1, 2])
print(b_nan)


    

    




[nan  1.  2.]

In [22]:

    

print(np.array_equal(a_nan, b_nan))


    

    




False

In [23]:

    

print(np.array_equiv(a_nan, b_nan))


    

    




False

In [24]:

    

print(np.all(a_nan == b_nan))


    

    




False