Use IPython’s ?
syntax to get more information:
In [2]: c_? Type: CClass Base Class: <class 'numpy.lib.index_tricks.CClass'> String Form:<numpy.lib.index_tricks.CClass object at 0x9a848cc> Namespace: Interactive Length: 0 File: /usr/lib/python2.7/dist-packages/numpy/lib/index_tricks.py Docstring: 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]])