numpy.ravel() in Python
Last Updated :
08 Mar, 2024
The numpy.ravel() functions returns contiguous flattened array(1D array with all the input-array elements and with the same type as it). A copy is made only if needed.
Syntax :
numpy.ravel(array, order = 'C')
Parameters :
array : [array_like]Input array.
order : [C-contiguous, F-contiguous, A-contiguous; optional]
C-contiguous order in memory(last index varies the fastest)
C order means that operating row-rise on the array will be slightly quicker
FORTRAN-contiguous order in memory (first index varies the fastest).
F order means that column-wise operations will be faster.
‘A’ means to read / write the elements in Fortran-like index order if,
array is Fortran contiguous in memory, C-like order otherwise
Return :
Flattened array having same type as the Input array and and order as per choice.
Code 1 : Shows that array.ravel is equivalent to reshape(-1, order=order)
Python
import numpy as geek
array = geek.arrange( 15 ).reshape( 3 , 5 )
print ( "Original array : \n" , array)
print ( "\nravel() : " , array.ravel())
print ( "\nnumpy.ravel() == numpy.reshape(-1)" )
print ( "Reshaping array : " , array.reshape( - 1 ))
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Output :
Original array :
[[ 0 1 2 3 4]
[ 5 6 7 8 9]
[10 11 12 13 14]]
ravel() : [ 0 1 2 ..., 12 13 14]
numpy.ravel() == numpy.reshape(-1)
Reshaping array : [ 0 1 2 ..., 12 13 14]
Code 2 :Showing ordering manipulation
Python
import numpy as geek
array = geek.arrange( 15 ).reshape( 3 , 5 )
print ( "Original array : \n" , array)
print ( "\nAbout numpy.ravel() : " , array.ravel)
print ( "\nnumpy.ravel() : " , array.ravel())
print ( "\nMaintains A Order : " , array.ravel(order = 'A' ))
array2 = geek.arrange( 12 ).reshape( 2 , 3 , 2 ).swapaxes( 1 , 2 )
print ( "\narray2 \n" , array2)
print ( "\nMaintains A Order : " , array2.ravel(order = 'K' ))
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Output :
Original array :
[[ 0 1 2 3 4]
[ 5 6 7 8 9]
[10 11 12 13 14]]
About numpy.ravel() :
numpy.ravel() : [ 0 1 2 ..., 12 13 14]
Maintains A Order : [ 0 1 2 ..., 12 13 14]
array2
[[[ 0 2 4]
[ 1 3 5]]
[[ 6 8 10]
[ 7 9 11]]]
Maintains A Order : [ 0 1 2 ..., 9 10 11]
Note :
These codes won’t run on online IDE’s. Please run them on your systems to explore the working
.
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