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transpose of a matrix using numpy

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Evil Earthworm answered on May 23, 2020 Popularity 10/10 Helpfulness 1/10

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transpose of a matrix using numpy

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-1

M = np.matrix([[1,2],[3,4]])

M.transpose()

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Tags: matrix numpy python transpose using

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Contributed on Apr 13 2021

Evil Earthworm

0 Answers Avg Quality 2/10

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transpose matrix numpy

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>>> a = np.array([[1, 2], [3, 4]])
>>> a
array([[1, 2],
       [3, 4]])
>>> a.transpose()
array([[1, 3],
       [2, 4]])
>>> a.transpose((1, 0))
array([[1, 3],
       [2, 4]])
>>> a.transpose(1, 0)
array([[1, 3],
       [2, 4]])

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Source: numpy.org

Tags: matrix ma

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Contributed on Nov 03 2020

Homely Hamerkop

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transpose matrix in python without numpy

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def transpose(matrix):
    rows = len(matrix)
    columns = len(matrix[0])

    matrix_T = []
    for j in range(columns):
        row = []
        for i in range(rows):
           row.append(matrix[i][j])
        matrix_T.append(row)

    return matrix_T

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Contributed on Feb 08 2021

Heron

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transpose matrices numpy

Comment

import numpy as np

A = [1, 2, 3, 4]
np.array(A).T # .T is used to transpose matrix

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Tags: numpy nump

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Contributed on May 23 2020

Silly Stag

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transpose matrice numpy

Comment

>>> np.transpose(M)
array([[1, 4, 7],
       [2, 5, 8],
       [3, 6, 9]])

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Source: moonbooks.org

Tags: numpy nump

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Contributed on May 06 2021

Distinct Dingo

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numpy transpose

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ndarray.T

x = np.array([[1.,2.],[3.,4.]])
>>> x
array([[ 1.,  2.],
       [ 3.,  4.]])
>>> x.T
array([[ 1.,  3.],
       [ 2.,  4.]])
>>> x = np.array([1.,2.,3.,4.])
>>> x
array([ 1.,  2.,  3.,  4.])
>>> x.T
array([ 1.,  2.,  3.,  4.])

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Source: numpy.org

Tags: numpy nump

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Contributed on May 26 2022

Active Programmer

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transpose of a matrix in python numpy

Comment

np.transpose(x)
array([[0, 2],
       [1, 3]])

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Source: numpy.org

Tags: matrix ma

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Contributed on Oct 13 2021

Energetic Eagle

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transpose matrix python

Comment

-1

arr = list(list(x) for x in zip(*arr))

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Tags: matrix ma

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Contributed on Aug 03 2020

Happy Hawk

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transpose matrice numpy

Comment

>>> import numpy as np
>>> M = np.array([[1,2,3],[4,5,6],[7,8,9]])
>>> M
array([[1, 2, 3],
       [4, 5, 6],
       [7, 8, 9]])
>>> M.T
array([[1, 4, 7],
       [2, 5, 8],
       [3, 6, 9]])

Popularity 9/10 Helpfulness 2/10 Language python

Source: moonbooks.org

Tags: numpy nump

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Contributed on May 06 2021

Distinct Dingo

0 Answers Avg Quality 2/10

transpose of a matrix using numpy

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transpose of a matrix using numpy

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