I have column in a csv that has this value as string:
b'\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@'
How can I convert this string in a bytes object in python?
I tried bytes(string_var, 'utf-8')
but I got:
b"b'\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@'"
I am reading the csv file with pandas
thanks in advance
[edit]
answers to comments:
1- my expected result is: b'\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@' (with only one 'b' and object type as bytes and not string)
2-I got this csv from: sql with byte array column => pandas dataframe => csv file
ps: before create csv file from pandas I use this command:
blob['Raw'] = blob['Raw'].apply(lambda x: x.tobytes())
otherwise, the csv file will store '<memory at 0x7f697cdc9d08>' string
I have column in a csv that has this value as string:
b'\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@'
How can I convert this string in a bytes object in python?
I tried bytes(string_var, 'utf-8')
but I got:
b"b'\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@\\x00\\x00\\x00\\xc0\\x99MC@'"
I am reading the csv file with pandas
thanks in advance
[edit]
answers to comments:
1- my expected result is: b'\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@\x00\x00\x00\xc0\x99MC@' (with only one 'b' and object type as bytes and not string)
2-I got this csv from: sql with byte array column => pandas dataframe => csv file
ps: before create csv file from pandas I use this command:
blob['Raw'] = blob['Raw'].apply(lambda x: x.tobytes())
otherwise, the csv file will store '<memory at 0x7f697cdc9d08>' string
@Barmar is lifesaver
I usedast.literal_eval
and worked:
from ast import literal_eval
blob_csv['Raw'] = blob_csv['Raw'].apply(lambda x: literal_eval(str(x)))
Thanks to Barmar and How to use ast.literal_eval in a pandas dataframe and handle exceptions
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