numpy.c_ = <numpy.lib.index_tricks.CClass object>
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).
See also
column_stack
r_
>>> np.c_[np.array([1,2,3]), np.array([4,5,6])] array([[1, 4], [2, 5], [3, 6]]) >>> np.c_[np.array([[1,2,3]]), 0, 0, np.array([[4,5,6]])] array([[1, 2, 3, ..., 4, 5, 6]])
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https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.c_.html