python : Numpy: numpy.c_

numpy.c_

numpy.c_ = <numpy.lib.index_tricks.CClass object at 0x25df410>

Translates slice objects to concatenation along the second axis.

This is short-hand for np.r_['-1,2,0', index expression], which is useful because of its common occurrence. In particular, arrays will be stacked along their last axis after being upgraded to at least 2-D with 1’s post-pended to the shape (column vectors made out of 1-D arrays).

For detailed documentation, see r_.

Examples

>>>

>>> np.c_[np.array([[1,2,3]]), 0, 0, np.array([[4,5,6]])]
array([[1, 2, 3, 0, 0, 4, 5, 6]])

 在numpy中，一个列表虽然是横着表示的，但它是列向量。