So i have this matrix :
[[ 1. 25. -5. 1. ]
[ 1. 11.56 -3.4 1. ]
[ 1. 4. -2. 1. ]
[ 1. 0.64 -0.8 1. ]
[ 1. 0. 0. 1. ]
[ 1. 1.44 1.2 1. ]
[ 1. 6.25 2.5 1. ]
[ 1. 16. 4. 1. ]
[ 1. 25. 5. 1. ]
[ 1. 49. 7. 1. ]
[ 1. 72.25 8.5 1. ]]
where I made the second column the third but squared using this code
[rowA,colA] = np.shape(A)
for i in range(rowA):
A[i,1] = deepcopy ( A[i,2] ** 2 )
this thing works
but when I'm trying to edit the first column so that it will be also the third one but cubed
i get this matrix
[[-1.25000e+02 2.50000e+01 -5.00000e+00 1.00000e+00]
[-3.93040e+01 1.15600e+01 -3.40000e+00 1.00000e+00]
[-8.00000e+00 4.00000e+00 -2.00000e+00 1.00000e+00]
[-5.12000e-01 6.40000e-01 -8.00000e-01 1.00000e+00]
[ 0.00000e+00 0.00000e+00 0.00000e+00 1.00000e+00]
[ 1.72800e+00 1.44000e+00 1.20000e+00 1.00000e+00]
[ 1.56250e+01 6.25000e+00 2.50000e+00 1.00000e+00]
[ 6.40000e+01 1.60000e+01 4.00000e+00 1.00000e+00]
[ 1.25000e+02 2.50000e+01 5.00000e+00 1.00000e+00]
[ 3.43000e+02 4.90000e+01 7.00000e+00 1.00000e+00]
[ 6.14125e+02 7.22500e+01 8.50000e+00 1.00000e+00]]
using this code
for i in range(rowA):
A[i,0] = deepcopy ( A[i,2] ** 3 )
the numbers are ok, but this scientific form is killing me and I don't know how to get rid of it
I know I could use a different approach ( and I will most likely do) but I'd like to know what I'm doing wrong in this one
