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Numpy Play with Rows and Columns of a Matix - quest - Nov-05-2020 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? RE: Numpy Play with Rows and Columns of a Matix - deanhystad - Nov-05-2020 Is there a question coming? RE: Numpy Play with Rows and Columns of a Matix - quest - Nov-05-2020 (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 RE: Numpy Play with Rows and Columns of a Matix - deanhystad - Nov-05-2020 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() 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? RE: Numpy Play with Rows and Columns of a Matix - quest - Nov-05-2020 (Nov-05-2020, 07:55 PM)deanhystad Wrote: How about a question that provides enough information and detail that somebody could answer it? 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 RE: Numpy Play with Rows and Columns of a Matix - deanhystad - Nov-05-2020 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) RE: Numpy Play with Rows and Columns of a Matix - quest - Nov-05-2020 (Nov-05-2020, 08:47 PM)deanhystad Wrote: Don't PM. This all works better when everyone can participate. 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. |