Simple loops way: Show
Or In this article, we will understand how to do transpose a matrix without NumPy in Python. So, first, we will understand how to transpose a matrix and then try to do it not using NumPy. What is the Transpose of a Matrix?Matrix is the representation of an array size in rectangular filled with symbols, expressions, alphabets and numbers arranged in rows and columns. Now, we have to know what is the transpose of a matrix? The matrix whose row will become the column of the new matrix and column will be the row of the new matrix. Therefore, we can implement this with the help of Numpy as it has a method called transpose(). Let’s implement with the help of NumPy: PROGRAM CODE:import numpy as np arr1 = np.array([[1, 2, 3], [4, 5, 6]]) print(f'Original Array:\n{arr1}') arr1_transpose = arr1.transpose() print(f'Transposed Array:\n{arr1_transpose}') OUTPUT: Original Array: [[1 2 3] [4 5 6]] Transposed Array: [[1 4] [2 5] [3 6]] But, we have already mentioned that we cannot use the Numpy. So, we can use plain logics behind this concept. Therefore, we can use nested loops to implement this. After that, we can swap the position of rows and columns to get the new matrix. Then, the new matrix is generated. PROGRAM CODE:Se our new Python code below: X = [[12,7], [4 ,5], [3 ,8]] result = [[0,0,0], [0,0,0]] # iterate through rows for i in range(len(X)): # iterate through columns for j in range(len(X[0])): result[j][i] = X[i][j] for r in result: print(r) OUTPUT: [12, 4, 3] Explanation:In this program, we have seen that we have used two for loops to implement this. So, the time complexity of the program is O(n^2). But, we can reduce the time complexity with the help of the function called transpose() present in the NumPy library. For details, you can check this article. View Discussion Improve Article Save Article View Discussion Improve Article Save Article Transpose of a matrix is a task we all can perform
very easily in python (Using a nested loop). But there are some interesting ways to do the same in a single line.
This article is contributed by Mayank Rawat & simply modified by Md. Tahmid Hasan. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to . See your article appearing on the GeeksforGeeks main page and help other Geeks. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above. How do you transpose a matrix in Python?Transpose of a matrix is obtained by changing rows to columns and columns to rows. In other words, transpose of A[][] is obtained by changing A[i][j] to A[j][i]. For Square Matrix: The below program finds transpose of A[][] and stores the result in B[][], we can change N for different dimension.
How do you get the transpose of a matrix using NumPy in Python?NumPy How to Transpose a Matrix. import numpy as np.. A = np. array([[1, 2], [3, 4]]). A_T = A. transpose(). print(A_T). Can you transpose a list in Python?You can transpose a two-dimensional list using the built-in function zip() . zip() is a function that returns an iterator that summarizes the multiple iterables ( list , tuple , etc.). In addition, use * that allows you to unpack the list and pass its elements to the function.
Can Python handle matrices?In python matrix can be implemented as 2D list or 2D Array. Forming matrix from latter, gives the additional functionalities for performing various operations in matrix. These operations and array are defines in module “numpy“.
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