It seems to be some kind of horizontal concatenation, but I could not find any documentation online. Here a minimal working example:
In [1]: from numpy impo
I would explain this as follow. It concats your first array into the last dimension (axis) of your last array in the function.
For example:
# both are 2 dimensional array
a = array([[1, 2, 3], [4, 5, 6]])
b = array([[7, 8, 9], [10, 11, 12]])
Now, let's take a look at np.c_(a, b)
:
First, let's look at the shape:
The shape of both a and b are (2, 3)
. Concating a (2, 3) into the last axis of b (3), while keeping other axises unchanged (1) will become
(2, 3 + 3) = (2, 6)
That's the new shape.
Now, let's look at the result:
In b, the 2 items in the last axis are:
1st: [7, 8, 9]
2nd: [10, 11, 12]
Adding a to it means:
1st item: [1,2,3] + [7,8,9] = [1,2,3,7,8,9]
2nd item: [4,5,6] + [10,11,12] = [4,5,6,10,11,12]
So, the result is
[
[1,2,3,7,8,9],
[4,5,6,10,11,12]
]
It's shape is (2, 6)