numpy.array([0] * n) #creates an int64 numpy array of size n with each element having a vaule of 0
numpy.array([0] * n, dtype = '<type>') #creates a numpy array of size n with a type of <type>x = np.zeros((3, 5, 2), dtype=np.complex128)
>>> x.size
30
>>> np.prod(x.shape)
30a = np.arange(3)
b = np.arange(12).reshape((3, 4))
c = np.arange(24).reshape((2, 3, 4))
# it returns the total number of elements
print(a.size) # 3
print(b.size) # 12
print(c.size) # 24a = np.arange(3)
b = np.arange(12).reshape((3, 4))
c = np.arange(24).reshape((2, 3, 4))
print(a.ndim) # 1
print(b.ndim) # 2
print(c.ndim) # 3numpy.array([0] * n) #creates an int64 numpy array of size n with each element having a vaule of 0
numpy.array([0] * n, dtype = '<type>') #creates a numpy array of size n with a type of <type>x = np.zeros((3, 5, 2), dtype=np.complex128)
>>> x.size
30
>>> np.prod(x.shape)
30a = np.arange(3)
b = np.arange(12).reshape((3, 4))
c = np.arange(24).reshape((2, 3, 4))
# it returns the total number of elements
print(a.size) # 3
print(b.size) # 12
print(c.size) # 24a = np.arange(3)
b = np.arange(12).reshape((3, 4))
c = np.arange(24).reshape((2, 3, 4))
print(a.ndim) # 1
print(b.ndim) # 2
print(c.ndim) # 3