In this section, we will find transpose of a matrix using nested loop inside list comprehension. Example 8: Transpose of a Matrix using List Comprehension matrix = [[1, 2], [3,4], [5,6], [7,8]] transpose = [[row[i] for row in matrix] for i in range(2)] print (transpose) In this case, you will be dealing with list comprehensions within list comprehensions. We will create a 3x3 matrix, as shown below: We can also find transpose of a matrix by using List comprehension concept. In mathematics a matrix is a rectangular array of numbers arranged in rows and columns. Check the difference between two procudures. Browse other questions tagged python list matrix list-comprehension or ask your own question. A good example of using nested list comprehensions would be creating a transpose of the matrix for the previous section. Both generates the same output. Without a list comprehension expression, you will need to use two for loops to create the transpose. We can treat each element as a row of the matrix. Python – Matrix Transpose. Following is a simple example of nested list which could be considered as a 2x3 matrix.. matrixA = [ [2, 8, 4], [3, 1, 5] ] Now check the size of the matrix with the instruction “Trans_M[b][a] = M[a][b]”. We can also perform nested iteration inside a list comprehension. List comprehensions are one of my favorite features in Python. I love list comprehensions so much that I’ve written an article about them, done a talk about them, and held a 3 hour comprehensions tutorial at PyCon 2018.. In this example, you will learn to transpose a matrix (which is created by using a nested list). Python Program To Transpose a Matrix Using Zip. The above program is using list comprehension to transpose the matrix, the list evaluating from the expression is the transpose of the given matrix. In Python, a Matrix can be represented using a nested list. Today we’ll learn how to use list comprehensions to work with matrices. Lists inside the list are the rows. Python comes with many inbuilt libraries zip is among those. In Python, the arrays are represented using the list data type. In other words, transpose of A[][] is obtained by changing A[i][j] to A[j][i]. In particular we’ll be talking about matrix column and diagonal retrieval with list comprehensions. So now will make use of the list to create a python matrix. List comprehensions in python basically reduce the loc. For example, the following is a 2X3 matrix (meaning the height of the matrix is 2 and the width is 3): You can read this article if you want to learn more about list comprehensions. If it evaluates to true then the immediate “for” loop get iterated and finally prints the transpose of matrix “M”. In Python to represent a matrix, we use a list of lists. I'm trying to create a matrix transpose function in Python. A matrix is a two-dimensional array, represented as a list of lists of integers. Python Input/Output; Python List; Python Loop; Python List comprehension; Matrix: A matrix is a 2-Dimensional array, which is form by using columns and rows. The Overflow Blog How to write an effective developer resume: Advice from a hiring manager Transpose of a matrix is obtained by changing rows to columns and columns to rows. In Python, we can implement a matrix as nested list (list inside a list). Create a Python Matrix using the nested list data type; Create Python Matrix using Arrays from Python Numpy package; Create Python Matrix using a nested list data type. Way 2: Using list comprehension. While I love list comprehensions, I’ve found that once new Pythonistas start to really appreciate comprehensions they tend to use them everywhere. Here in this article, we have provided a python source code that can transpose a matrix. Readability wise procedure2 is good. The zip() function returns an iterator of tuples based on the iterable object. For Square Matrix : The below program finds transpose of A[][] and stores the result in B[][], we can change N for different dimension. For example X = [[1, 2], [4, 5], [3, 6]] would represent a 3x2 matrix. Prerequisite topics to create this program. Its complicated for the one's who dnt know about list comprehensions.