Python Forum

Hello
I created my code as I want and now I just want to change my matrix.
As a result of my code, I have this matrix:



And here I want to write each column as a rows and after that I want to add them together. As a result I should see this image:



Here is my code(I just add the related part):

………….. ##I didn't paste here because we have just definition of list
for triplet in itertools.product([0, 1], repeat=6):
    arr = np.array([])
    for i in range(8):
        for l in range(8):
            if l[l] == n[i]:
                arr = np.append(arr,[1])
                
            else:
                arr = np.append(arr,[0])
                
    print(arr)

How can I change my matrix from first image to second image?

Is there a question coming?

(Nov-05-2020, 04:14 PM)deanhystad Wrote: [ -> ]Is there a question coming?

I asked how can I change my matrix from first image to second image

How about a question that provides enough information and detail that somebody could answer it?

What do you mean by this?

Quote:And here I want to write each column as a rows

Is this what you are looking for?

import numpy as np

m = np.array([[1,2,3,4], [4,6,7,8]])
print(m)
print(m.T) # or use np.transpose(m) or m.transpose()

Output:
[[1 2 3 4]
 [4 6 7 8]]
[[1 4]
 [2 6]
 [3 7]
 [4 8]]

If that is what you want to do, what do you mean by this?

Quote:and after that I want to add them together.

The matrix in the first image isn't square (I don't think), so yow can you add an 8x64 matrix an a 64x8 matrix?

And how does any of this relate to the code you provide?

(Nov-05-2020, 07:55 PM)deanhystad Wrote: [ -> ]How about a question that provides enough information and detail that somebody could answer it?

What do you mean by this?

Quote:And here I want to write each column as a rows

Is this what you are looking for?

import numpy as np

m = np.array([[1,2,3,4], [4,6,7,8]])
print(m)
print(m.T) # or use np.transpose(m) or m.transpose()

Output:
[[1 2 3 4]
 [4 6 7 8]]
[[1 4]
 [2 6]
 [3 7]
 [4 8]]

If that is what you want to do, what do you mean by this?

Quote:and after that I want to add them together.

The matrix in the first image isn't square (I don't think), so yow can you add an 8x64 matrix an a 64x8 matrix?

And how does any of this relate to the code you provide?

Hello, I wanted to send you a PM but I am not allowed
Here is my code actually according to code it should be 64*64 matrix and before your message I also tried transpose method too but It didn't work

for triplet in itertools.product([0, 1], repeat=6):
    a,ap,b,bp,c,cp = triplet[0],triplet[1],triplet[2],triplet[3],triplet[4],triplet[5]
    nlist = [(a,b,c),(a,b,cp),(a,bp,c),(a,bp,cp),(ap,b,c),(ap,b,cp),(ap,bp,c),(ap,bp,cp)]
    arr = np.array([])
    for i in range(8):
       # arr = np.array([])
        for l in range(8):
            if lst[l] == nlist[i]:
                arr = np.append(arr,[1])
                
            else:
                arr = np.append(arr,[0])
                
    arr=arr.reshape((64,1))
    #print(arr)
    array1 = np.append(array1,arr)
    #print(array1.transpose())
    arr=arr[:]
#array1 = np.append(array1,arr)
#array1=array1.transpose()
print(array1)

Here I can create 64 times, 64*1 matrix and I want to add these 64*1 matrix together so that I could have 64*64 matrix. But I could not manage with that. array1 should be 64*64 matrix by arr which is 64*1 matrix
And here arr is ok but when I tried to add to arr inside array1, I cant add 64*1 matrix, I can add 1*64 matrix and I really don't know why

Don't PM. This all works better when everyone can participate.

Was the problem with transpose that m and m.T reference the same array? If that is a problem, use copy().

import numpy as np

m = []
rows = 64
cols = 64
for r in range(rows):
    m.append([r*cols+c for c in range(cols)])

m = np.array(m)
mT = m.T.copy()  # Get a copy
mT[1][1] = 0
print(mT - m.T)

(Nov-05-2020, 08:47 PM)deanhystad Wrote: [ -> ]Don't PM. This all works better when everyone can participate.

Was the problem with transpose that m and m.T reference the same array? If that is a problem, use copy().

import numpy as np

m = []
rows = 64
cols = 64
for r in range(rows):
    m.append([r*cols+c for c in range(cols)])

m = np.array(m)
mT = m.T.copy()  # Get a copy
mT[1][1] = 0
print(mT - m.T)

Hello
Thanks for the answer but the problem is that I cannot bring together 64*1 matrices for creating 64*64 matrix. And I have 64*1 matrices but when I add these 64*1 matrices they are becoming 1*64 matrices and this is very weird By the way I already pasted my code. I didnt understand your example.