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transpose matrix numpy
>> > 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 ] ] )
transpose matrices numpy
import numpy as np
A = [ 1 , 2 , 3 , 4 ]
np. array( A) . T
transpose matrix in python without numpy
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
numpy transpose
>> > np. transpose( x)
array( [ [ 0 , 2 ] ,
[ 1 , 3 ] ] )
numpy transpose
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. ] )
transpose matrice numpy
>> > np. transpose( M)
array( [ [ 1 , 4 , 7 ] ,
[ 2 , 5 , 8 ] ,
[ 3 , 6 , 9 ] ] )
transpose of a matrix in python numpy
np. transpose( x)
array( [ [ 0 , 2 ] ,
[ 1 , 3 ] ] )
transpose matrice numpy
>> > 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 ] ] )
transpose of a matrix using numpy
M = np. matrix( [ [ 1 , 2 ] , [ 3 , 4 ] ] )
M. transpose( )
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