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Numpy recarray.tostring () function | python

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Record arrays allow you to access fields as elements of an array using arr.a and arr.b numpy.recarray.tostring () Python bytes containing the raw data bytes in an array.

Syntax: numpy.recarray.tostring (order = ’C’)

Parameters:
order: [’C’, ’F’, None, optional] Order of the data for multidimensional arrays: C , Fortran, or the same as for the original array.

Return: [bytes] Python bytes exhibiting a copy of record array’s raw data.

Code # 1:

# Python program explaining
# numpy.recarray.tostring () method

  
# import numy ka to geek

import numpy as geek

 
# create an input array with two different fields

in_arr = geek.array ([[( 5.0 , 2 ), ( 3.0 , - 4 ), ( 6.0 , 9 )],

[( 9.0 , 1 ), ( 5.0 ,  4 ), ( - 12.0 , - 7 )]],

dtype = [( ’a’ , float ), ( ’b’ , int )])

  

print ( "Input array:" , in_arr)

 
# convert it to an array of posts,
# using arr.view (np.recarray) < / p>

rec_arr = in_arr.view (geek.recarray)

print ( "Record array of float:" , rec_arr.a)

print ( "Record array of int:" , rec_arr.b)

 
# using recarray.tostring methods
# arrange the array of records in order default

out_arr = rec_arr.a .tostring ()

print ( " Output Python bytes of float record array in default order " , out_arr) 

print ()

  
# using recarray.tostring methods
# output array of records in fortan order

out_arr = rec_arr.a.tostring (order = ’F’ )

print ( "Output Python bytes of float record array in fortan order" , out_arr) 

print ()

 
# applying recarray.tostring methods
# into an array of int records in default order

out_arr rec_arr.b.tostring ()

print ( "Output Python bytes of int record array in default order" , out_arr) 

print ()

 
# applying recarray.tostring methods
# into an array of int records in fortan order

out_arr = rec_arr.b.tostring (order = ’F’ )

print ( " Output Python bytes of int record array in fortan order " , out_arr) 

Exit:

Input array: [[(5., 2) (3., -4) (6., 9)]
[(9., 1) (5., 4) (-12 ., -7)]]
Record array of float: [[5. 3. 6.]
[9. 5. -12.]]
Record array of int: [[ 2 -4 9]
[1 4 -7]]
Output Python bytes of float record array in default order b’x00x00x00x00x00x00x14 @ x00x00x00x00x00x00x08 @ x00x00x00x00x00x00x18 @ x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00x00 ″ @ x00x00 ″ @ x00x00 ″ @ x00x00 >

Output Python bytes of float record array in fortan order b’x00x00x00x00x00x00x14 @ x00x00x00x00x00x00 ″ @ x00x00x00x00x00x00x08 @ x00x00x00x00x00x00x14 @ x00x00x00x00x00x00x00x00 x02x00x00x00xfcxffxffxff x00x00x00x01x00x00x00x04x00x00x00xf9xffxffxff ’

Output Python bytes of int record array in fortan order b’x02x00x00x00x01x00x00x00xfcxffxffxffx04x00x00x00 x00x00x00xf9xffxffxff’

 code № 2:

We apply numpy.recarray.tostring () to the entire array wu posts.

# Python program explaining
# numpy.recarray.tostring () method

 
# import numy as a geek

import numpy as geek

  
# create an input array with two different fields

in_arr = geek.array ([[( 5.0 , 2 ), ( 3.0 , 4 ), ( 6.0 , - 7 )],

  [( 9.0 , 1 ), ( 6.0 , 4 ), ( - 2.0 , - 7 )]],

dtype = [( ’a’ , float ), ( ’b’ , int )])

  

print ( "Input array:" , in_arr)

 
# convert it to an array of records,
# using arr.view (np.recarray)

rec_arr = in_arr.view (geek.recarray)

 
# applying recarray.tostring methods to
# writing array in default order

out_arr = rec_arr.tostring ()

print ( "Output Python bytes of record array in default order " , out_arr) 

print ()

 
# applying recarray.tostring methods to
# array of records in fortan order

out_arr = rec_arr.tostring (order = ’F’ )

print ( "Output Python bytes of record array in fortan order" , out_arr) 

Exit :

Input array : [[(5., 2) (3., 4) (6., -7)]
[(9., 1) (6., 4) (-2., -7)]]
Output Python bytes of record array in default order b’x00x00x00x00x00x00x14 @ x02x00x00x00x00x00x00x00x00x00x08 @ x04x00x00x00x00x00x00x00x00x00x18 @ xf9xffxffxffx00x00x00x00x00x00x00x01 00x00x00x00x00x00x00x00x00x18 @ x04x00x00x00x00x00x00x00x00x00x00xc0xf9xffxffxff ’

Output Python bytes of record array in fortan order b’x00x00x00x00x00x00x14 @ x02x00x00x00x00x00x00x00x00x00 "@ x01x00x00x00x00x00x00x00x00x00x08 @ x04x00x00x00x00x00x00x00x00x00x18 @ x04x00x00x00x00x00x00x00x00x00x18 @ xf9xffxffxffx00x00x00x00x00x00x00xc0xf9xffxffxff’

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