Article Source| Hengyuan Cloud Community
Original Address| Chat
Original author| Azhou
Make complaints
Regarding the axis of the numpy array, I can't always remember it, or it's rather vague. Every time I have to make a small array and test it myself to make sure I don't make a mistake. Today I made up my mind to remember this thing, and I made a formula for associative memory. If you don’t have this problem, don’t look down. It’s a shame.
above picture
In fact, to put it bluntly, it is to remember such a thing. If you have already remembered it clearly, don’t look down.
example
a = np.array([[1,1],[2,2]])
# [1 1]
# [2 2]
print(np.mean(a,axis=0))
#沿着axis0做平均
[1.5, 1.5]
print(np.mean(a,axis=0))
#沿着axis1做平均
[1, 2]
associative memory
It's a shame.
axis=0, from top to bottom, From T op to B ottom ( TB )
axis=1, from left to right, From Left to Right ( LR )
That is
0TB
1LR
Associative memory is
not to (0) escape (TB)
to (1) comity (LR)
Or
Clear(0) Taobao(TB)
Buy(1) Braised Meat(LR)