CODEWITHSUNDEEP
pythonintegerbytebin
Bean_noodle
Bean_noodle

Reputation: 9

converting bytes to int16

I did use matlab for bin format data analysis. in matlab, just typing below command can read and convert bin file to int16 format.

fid=fopen(fname,'rb');
data = fread(fid,'int16');

data =
   749
   774
   798
   823
   846
   869
   892 ...

this is desirable form. but in python, i did try to read and convert bin file to data format, value becomes

f = open('data.bin', 'rb')
data = f.read()
data 

b'\xed\x02\x06\x03\x1e\x037\x03N\x03e\x03|\x03\x92\x03\xa9\x03\xbc\x03\xcd\x03\xdf\x03\xe9\x03\xf2\x03\xee\x03\xe9\x03\xde\x03\xca\x03\xbb\x03\xae\x03\xa4 ... 
int_val = int.from_bytes(byte_val, "big")
int_val
506245810864297737878221011897654703022162227130237119582700991733805191065310841283412291727786916

this format. is there any idea about this?

Upvotes: 0

Views: 2014

Answers (1)

Mark Tolonen
Mark Tolonen

Reputation: 177715

Using the built-in array module and typecode 'H' for unsigned 16-bit data:

import array

byte_data = b'\xed\x02\x06\x03\x1e\x037\x03N\x03e\x03|\x03\x92\x03\xa9\x03\xbc\x03\xcd\x03\xdf\x03\xe9\x03\xf2\x03\xee\x03\xe9\x03\xde\x03\xca\x03\xbb\x03\xae\x03'
data = array.array('H',byte_data)
print(data)

Output:

array('H', [749, 774, 798, 823, 846, 869, 892, 914, 937, 956, 973, 991, 1001, 1010, 1006, 1001, 990, 970, 955, 942])

Or if you prefer a Python list, just use:

data = list(array.array('H',byte_data))

Upvotes: 1

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