numpy.ma.hstack¶

numpy.ma.hstack(tup) = <numpy.ma.extras._fromnxfunction_seq instance>¶

Stack arrays in sequence horizontally (column wise).

Take a sequence of arrays and stack them horizontally to makea single array. Rebuild arrays divided byhsplit.

This function continues to be supported for backward compatibility, butyou should prefernp.concatenate ornp.stack. Thenp.stackfunction 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

The function is applied to both the _data and the _mask, if any.

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]])