Np.hstack

# np.hstack concatenates arrays column-wise

a = np.array([1], [2], [3]) #read as a vector, i.e. a column
b = np.array([4], [5], [6]) #read as a vector, i.e. a column 
							#concatenated to the first one
c = np.hstack((a, b)))
print(c)
# output is
# [[1, 4],
#  [2, 5],
#  [3, 6]]

Hstack in numpy

>>> a = np.array((1,2,3))
>>> b = np.array((2,3,4))
>>> np.hstack((a,b))
array([1, 2, 3, 2, 3, 4])
>>> a = np.array([[1],[2],[3]])
>>> b = np.array([[2],[3],[4]])
>>> np.hstack((a,b))
array([[1, 2],
       [2, 3],
       [3, 4]])

Source: numpy.org

Np.hstack in python

>>> a = np.array((1,2,3))
>>> b = np.array((2,3,4))
>>> np.hstack((a,b))
array([1, 2, 3, 2, 3, 4])
>>> a = np.array([[1],[2],[3]])
>>> b = np.array([[2],[3],[4]])
>>> np.hstack((a,b),columns=['hurala','panalal'])
array([[1, 2],
       [2, 3],
       [3, 4]])

Source: numpy.org

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