numpy.hstack  
numpy.hstack(tup) [source]
 
Stack arrays in sequence horizontally (column wise). Take a sequence of arrays and stack them horizontally to make a single array. Rebuild arrays divided by hsplit.    
Parameters:

tup : sequence of ndarrays All arrays must have the same shape along all but the second axis.   
Returns:

stacked : ndarray The array formed by stacking the given arrays.     See also  stack Join a sequence of arrays along a new axis. vstack Stack arrays in sequence vertically (row wise). dstack Stack arrays in sequence depth wise (along third axis). concatenate Join a sequence of arrays along an existing axis. hsplit Split array along second axis.   Notes Equivalent to np.concatenate(tup, axis=1) Examples >>> 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]])
 


    
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