numpy.c_#

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

Translates slice objects to concatenation along the second axis.

This is short-hand fornp.r_['-1,2,0',indexexpression], which isuseful because of its common occurrence. In particular, arrays will bestacked along their last axis after being upgraded to at least 2-D with1’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]])

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