- numpy.ma.hstack(tup) = <numpy.ma.extras._fromnxfunction instance at 0x52b8cfac>¶
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.
tup : sequence of ndarrays
All arrays must have the same shape along all but the second axis.
stacked : ndarray
The array formed by stacking the given arrays.
The function is applied to both the _data and the _mask, if any.
>>> 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([,,]) >>> b = np.array([,,]) >>> np.hstack((a,b)) array([[1, 2], [2, 3], [3, 4]])