mars.tensor.c_#
- mars.tensor.c_ = <mars.tensor.lib.index_tricks.CClass object>#
Translates slice objects to concatenation along the second axis.
This is short-hand for
mt.r_['-1,2,0', index expression]
, which is useful because of its common occurrence. In particular, tensors 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 tensors).See also
column_stack
Stack 1-D tensors as columns into a 2-D tensor.
r_
For more detailed documentation.
Examples
>>> import mars.tensor as mt
>>> mt.c_[mt.array([1,2,3]), mt.array([4,5,6])].execute() array([[1, 4], [2, 5], [3, 6]]) >>> mt.c_[mt.array([[1,2,3]]), 0, 0, mt.array([[4,5,6]])].execute() array([[1, 2, 3, ..., 4, 5, 6]])