python - What does the c underscore expression `c_` do exactly? -


it seems kind of horizontal concatenation, not find documentation online. here minimal working example: 

in [1]: numpy import c_ in [2]: = ones(4) in [3]: b = zeros((4,10))     in [4]: c_[a,b] out[4]:  array([[ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],        [ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],        [ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],        [ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]])

use ipython's ? syntax more information:

in [2]: c_? type:       cclass base class: <class 'numpy.lib.index_tricks.cclass'> string form:<numpy.lib.index_tricks.cclass object @ 0x9a848cc> namespace:  interactive length:     0 file:       /usr/lib/python2.7/dist-packages/numpy/lib/index_tricks.py docstring: translates slice objects concatenation along second axis.  short-hand ``np.r_['-1,2,0', index expression]``, useful because of common occurrence. in particular, arrays stacked along last axis after being upgraded @ least 2-d 1's post-pended shape (column vectors made out of 1-d arrays).  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]])

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