I have a matrix y with size (3,3). Say it is a 3 by 3 matrix with all elements = 1.
I then have a loop to create multiple (3,3) matrices. So these are the outputs:
First loop I get this matrix:
[[ 88. 42.5 9. ]
[ 121.5 76. 42.5]
[ 167. 121.5 88. ]]
The second loop I get:
[[ 88. 42.5 13. ]
[ 117.5 72. 42.5]
[ 163. 117.5 88. ]]
So what I would like to achieve is essentially
[[1, 1, 1] [88, 42.5, 9] [88, 42.5, 13],
[1, 1, 1] [121.5, 76, 42.5] [117.5, 72, 42.5],
[1, 1, 1] [167, 121.5, 88] [163, 117.5, 88]]
This is assuming the loop iterates twice, and I am not sure if I have placed the commas or the spacing etc in the right place but ideally I obtain a 3 by 3 matrix with each element having a list with 3 elements.
My code I have so far for the loop is (Up_xyz,Mid_xyz,Down_xyz outputs in [x,x,x] format) :
for i in range (1,len(PeopleName)):
x = np.vstack((Up_xyz(TempName[i]),Mid_xyz(TempName[i]),Down_xyz(TempName[i])))
restA.append(x)
l+=1
Which results in:
[array([[ 88. , 42.5, 13. ],
[ 117.5, 72. , 42.5],
[ 163. , 117.5, 88. ]])]
Which is simply the value from the last iteration of the loop.
Also, when I append y to restA with
print(y.append(restA))
I get this error:
'numpy.ndarray' object has no attribute 'append'
I assume this is due to the difference in sizing. But I would appreciate any help, and I am fairly new to Python, so would be open to any other ways that would be more efficient as well. Thanks