-
numpy.c_ =
-
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
12>>> 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_

2025-01-10 15:47:30
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