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import numpy as np


    

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help(np.hstack)


    

    




Help on function hstack in module numpy.core.shape_base:

hstack(tup)
    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`.
    
    This function continues to be supported for backward compatibility, but
    you should prefer ``np.concatenate`` or ``np.stack``. The ``np.stack``
    function was added in NumPy 1.10.
    
    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.
    block : Assemble arrays from blocks.
    
    Notes
    -----
    Equivalent to ``np.concatenate(tup, axis=1)`` if `tup` contains arrays that
    are at least 2-dimensional.
    
    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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