Numpy.c_ — NumPy V1.23 Manual

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numpy.c_# numpy.c_=<numpy.lib._index_tricks_impl.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

Stack 1-D arrays as columns into a 2-D array.

r_

For more detailed documentation.

Examples

Try it in your browser! >>> importnumpyasnp >>> 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]]) Go BackOpen In Tab On this page

• c_