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numpy.r

# 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]])