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numpy.c_ =
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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]])
numpy.c_
2017-01-10 18:13:35
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