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How to manipulate multibyte string in python?

I have a log file having multibyte data in it (). I want to write a script that does some data manipulation on it.
with open(fo, encoding="cp1252") as file:
for line in file:
print(line)
if("WINDOWS" in line):
print(found)
print(line) give following output:
there is one extra byte after every character.
This is not working due to the fact that WINDOWS is not multibyte. I am unable to find the solution for this. Can someone help me here ?

cp1252 is not a multibyte encoding. If the file in fact contains UTF-16, but most of it is in the very lowest range of Unicode, using cp1252 will yield roughly the correct characters except there will be zero (null) bytes between them. Without an unambiguous sample of the bytes in the file, we can only speculate; but try opening the file with encoding='utf-16le'. (If this fails, please edit your question to indlude a hex dump or repr() of the binary bytes in the file; see also Problematic questions about decoding errors)

python codecs can't encode to cp1252...but notepad++ can?

I have a very simple piece of code that's converting a csv....also do note i reference notepad++ a few times but my standard IDE is vs-code.
with codecs.open(filePath, "r", encoding = "UTF-8") as sourcefile:
lines = sourcefile.read()
with codecs.open(filePath, 'w', encoding = 'cp1252') as targetfile:
targetfile.write(lines)
Now the job I'm doing requires a specific file be encoded to windows-1252 and from what i understand cp1252=windows-1252. Now this conversion works fine when i do it using the UI features in notepad++, but when i try using python codecs to encode this file it fails;
UnicodeEncodeError: 'charmap' codec can't encode character '\ufffd' in position 561488: character maps to <undefined>
When i saw this failure i was confused, so i double checked the output from when i manually convert the file using notepad++, and the converted file is encoded in windows-1252.....so what gives? Why can a UI feature in notepad++ able to do the job when but codecs seems not not be able to? Does notepad++ just ignore errors?

Looks like your input text has the character "�" (the actual placeholder "replacement character" character, not some other undefined character), which cannot be mapped to cp1252 (because it doesn't have the concept).
Depending on what you need, you can:
Filter it out (or replace it, or otherwise handle it) in Python before writing out lines to the output file.
Pass errors=... to the second codecs.open, choosing one of the other error-handling modes; the default is 'strict', you can also use 'ignore', 'replace', 'xmlcharrefreplace', 'backslashreplace' or 'namereplace'.
Check the input file and see why it's got the "�" character; is it corrupted?

Probably Python is simply more explicit in its error handling. If Notepad++ managed to represent every character correctly in CP-1252 then there is a bug in the Python codec where it should not fail where it currently does; but I'm guessing Notepad++ is silently replacing some characters with some other characters, and falsely claiming success.
Maybe try converting the result back to UTF-8 and compare the files byte by byte if the data is not easy to inspect manually.
Uncode U+FFFD is a reserved character which serves as a placeholder for a character which cannot be represented in Unicode; often, it's an indication of a conversion problem previously, when presumably this data was imperfectly input or converted at an earlier point in time.
(And yes, Windows-1252 is another name for Windows code page 1252.)

Why notepad++ "succeeds"
Notepad++ does not offer you to convert your file to cp1252, but to reinterpret it using this encoding. What lead to your confusion is that they are actually using the wrong term for this. This is the encoding menu in the program:
When "Encode with cp1252" is selected, Notepad decodes the file using cp1252 and shows you the result. If you save the character '\ufffd' to a file using utf8:
with open('f.txt', 'w', encoding='utf8') as f:
f.write('\ufffd')`
and use "Encode with cp1252" you'd see three characters:
That means that Notepad++ does not read the character in utf8 and then writes it in cp1252, because then you'd see exactly one character. You could achieve similar results to Notepad++ by reading the file using cp1252:
with open('f.txt', 'r', encoding='cp1252') as f:
print(f.read()) # Prints �
Notepad++ lets you actually convert to only five encodings, as you can see in the screenshot above.
What should you do
This character does not exist in the cp1252 encoding, which means you can't convert this file without losing information. Common solutions are to skip such characters or replace them with other similar characters that exist in your encoding (see encoding error handlers)

You are dealing with the "utf-8-sig" encoding -- please specify this one as the encoding argument instead of "utf-8".
There is information on it in the docs (search the page for "utf-8-sig").
To increase the reliability with which a UTF-8 encoding can be detected, Microsoft invented a variant of UTF-8 (that Python 2.5 calls "utf-8-sig") for its Notepad program: Before any of the Unicode characters is written to the file, a UTF-8 encoded BOM (which looks like this as a byte sequence: 0xef, 0xbb, 0xbf) is written. [...]

Python3 using UTF-8 data from bytes [duplicate]

Why is the below item failing? Why does it succeed with "latin-1" codec?
o = "a test of \xe9 char" #I want this to remain a string as this is what I am receiving
v = o.decode("utf-8")
Which results in:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python27\lib\encodings\utf_8.py",
line 16, in decode
return codecs.utf_8_decode(input, errors, True) UnicodeDecodeError:
'utf8' codec can't decode byte 0xe9 in position 10: invalid continuation byte

I had the same error when I tried to open a CSV file by pandas.read_csv
method.
The solution was change the encoding to latin-1:
pd.read_csv('ml-100k/u.item', sep='|', names=m_cols , encoding='latin-1')

In binary, 0xE9 looks like 1110 1001. If you read about UTF-8 on Wikipedia, you’ll see that such a byte must be followed by two of the form 10xx xxxx. So, for example:
>>> b'\xe9\x80\x80'.decode('utf-8')
u'\u9000'
But that’s just the mechanical cause of the exception. In this case, you have a string that is almost certainly encoded in latin 1. You can see how UTF-8 and latin 1 look different:
>>> u'\xe9'.encode('utf-8')
b'\xc3\xa9'
>>> u'\xe9'.encode('latin-1')
b'\xe9'
(Note, I'm using a mix of Python 2 and 3 representation here. The input is valid in any version of Python, but your Python interpreter is unlikely to actually show both unicode and byte strings in this way.)

It is invalid UTF-8. That character is the e-acute character in ISO-Latin1, which is why it succeeds with that codeset.
If you don't know the codeset you're receiving strings in, you're in a bit of trouble. It would be best if a single codeset (hopefully UTF-8) would be chosen for your protocol/application and then you'd just reject ones that didn't decode.
If you can't do that, you'll need heuristics.

Because UTF-8 is multibyte and there is no char corresponding to your combination of \xe9 plus following space.
Why should it succeed in both utf-8 and latin-1?
Here how the same sentence should be in utf-8:
>>> o.decode('latin-1').encode("utf-8")
'a test of \xc3\xa9 char'

If this error arises when manipulating a file that was just opened, check to see if you opened it in 'rb' mode

Use this, If it shows the error of UTF-8
pd.read_csv('File_name.csv',encoding='latin-1')

utf-8 code error usually comes when the range of numeric values exceeding 0 to 127.
the reason to raise this exception is:
1)If the code point is < 128, each byte is the same as the value of the code point.
2)If the code point is 128 or greater, the Unicode string can’t be represented in this encoding. (Python raises a UnicodeEncodeError exception in this case.)
In order to to overcome this we have a set of encodings, the most widely used is "Latin-1, also known as ISO-8859-1"
So ISO-8859-1 Unicode points 0–255 are identical to the Latin-1 values, so converting to this encoding simply requires converting code points to byte values; if a code point larger than 255 is encountered, the string can’t be encoded into Latin-1
when this exception occurs when you are trying to load a data set ,try using this format
df=pd.read_csv("top50.csv",encoding='ISO-8859-1')
Add encoding technique at the end of the syntax which then accepts to load the data set.

Well this type of error comes when u are taking input a particular file or data in pandas such as :-
data=pd.read_csv('/kaggle/input/fertilizers-by-product-fao/FertilizersProduct.csv)
Then the error is displaying like this :-
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf4 in position 1: invalid continuation byte
So to avoid this type of error can be removed by adding an argument
data=pd.read_csv('/kaggle/input/fertilizers-by-product-fao/FertilizersProduct.csv', encoding='ISO-8859-1')

This happened to me also, while i was reading text containing Hebrew from a .txt file.
I clicked: file -> save as and I saved this file as a UTF-8 encoding

TLDR: I would recommend investigating the source of the problem in depth before switching encoders to silence the error.
I got this error as I was processing a large number of zip files with additional zip files in them.
My workflow was the following:
Read zip
Read child zip
Read text from child zip
At some point I was hitting the encoding error above. Upon closer inspection, it turned out that some child zips erroneously contained further zips. Reading these zips as text lead to some funky character representation that I could silence with encoding="latin-1", but which in turn caused issues further down the line. Since I was working with international data it was not completely foolish to assume it was an encoding problem (I had problems with 0xc2: Â), but in the end it was not the actual issue.

In this case, I tried to execute a .py which active a path/file.sql.
My solution was to modify the codification of the file.sql to "UTF-8 without BOM" and it works!
You can do it with Notepad++.
i will leave a part of my code.
con = psycopg2.connect(host = sys.argv[1],
port = sys.argv[2],dbname = sys.argv[3],user = sys.argv[4], password = sys.argv[5])
cursor = con.cursor()
sqlfile = open(path, 'r')

I encountered this problem, and it turned out that I had saved my CSV directly from a google sheets file. In other words, I was in a google sheet file. I chose, save a copy, and then when my browser downloaded it, I chose Open. Then, I DIRECTLY saved the CSV. This was the wrong move.
What fixed it for me was first saving the sheet as an .xlsx file on my local computer, and from there exporting single sheet as .csv. Then the error went away for pd.read_csv('myfile.csv')

The solution was change to "UTF-8 sin BOM"

Coerce UTF bytestream to ASCII [duplicate]

This question already has answers here:
Python UTF-16 CSV reader
(4 answers)
Closed 8 years ago.
I am aware that csv won't handle UTF directly, and that part of the solution is to open the file using codecs which opens the stream using the right encoding. I still get the error however:
UnicodeEncodeError: 'ascii' codec can't encode character u'\xed' in position 121: ordinal not in range(128)
Is there a way to process the byte stream from infile, coercing it to ascii before it is handed over to csv.DictReader? Thanks.
with( codecs.open( infileName , 'rU', 'utf-16') ) as infile:
rdr = csv.DictReader( infile , delimiter='\t' )
vnames = rdr.fieldnames
for row in rdr:
do_something(row)

The problem isn't that "csv won't handle UTF directly"; nothing in Python handles UTF directly, and you wouldn't want it to. When you want Unicode, you use Unicode; when you want a particular encoding (whether UTF-8, UTF-16, or otherwise), you have to use strings and keep track of the encoding manually.
Python 2.x csv can't handle Unicode, so the easy way is ruled out. In fact, it only understands bytes strings, and always treats them as ASCII. However, it doesn't tamper with anything other than the specific characters it cares about (delimiter, quote, newline, etc.). So, as long as you use a charset whose ,, ", and \n (or whatever special characters you've selected) are guaranteed to be encoded to the same byte as in ASCII, and nothing else will ever be encoded to those bytes, you're fine.
Of course you don't just want to create a CSV file in any arbitrary charset; you presumably want to consume it in some other program—Excel, a script running on a server somewhere, whatever—and you need to create a CSV file in the charset that other program expects. But if you have control over the other program (e.g., it's Excel, and you know how to select the charset in its Import command), UTF-8 is almost always the best choice.
At any rate, UTF-16 does not qualify as a CSV-friendly charset, because, e.g., , is two bytes, not one.
So, how do you deal with this? The Examples in the documentation have the answer. If you just copy the unicode_csv_reader function and use it together with codecs.open, you're done. Or copy the UnicodeReader class and pass it an encoding.
But if you read the code for the examples, you can see how trivial it is: Decode your UTF-16, re-encode to UTF-8, and pass that to the reader or DictReader. And you can reduce that to one extra line of code, (line.encode('utf-8') for line in infile). So:
with codecs.open(infileName , 'rU', 'utf-16') as infile:
utf8 = (line.encode('utf-8') for line in infile)
rdr = csv.DictReader(utf8, delimiter='\t')
vnames = rdr.fieldnames
for row in rdr:
do_something(row)
Finally, why is your existing code raising that exception? It's not in the UTF-16 decoding. It's because you're passing the resulting unicode strings to code that wants a bytes str. In Python 2.x, that pretty much always means to automatically encode it with the default encoding, which defaults to ASCII, which is what raises the error. And that's why you have to explicitly encode to UTF-8.

Removing unknown characters from a text file

I have a large number of files containing data I am trying to process using a Python script.
The files are in an unknown encoding, and if I open them in Notepad++ they contain numerical data separated by a load of 'null' characters (represented as NULL in white on black background in Notepad++).
In order to handle this, I separate the file by the null character \x00 and retrieve only numerical values using the following script:
stripped_data=[]
for root,dirs,files in os.walk(PATH):
for rawfile in files:
(dirName, fileName)= os.path.split(rawfile)
(fileBaseName, fileExtension)=os.path.splitext(fileName)
h=open(os.path.join(root, rawfile),'r')
line=h.read()
for raw_value in line.split('\x00'):
try:
test=float(raw_value)
stripped_data.append(raw_value.strip())
except ValueError:
pass
However, there are sometimes other unrecognised characters in the file (as far as I have found, always at the very beginning) - these show up in Notepad++ as 'EOT', 'SUB' and 'ETX'. They seem to interfere with the processing of the file in Python - the file appears to end at those characters, even though there is clearly more data visible in Notepad++.
How can I remove all non-ASCII characters from these files prior to processing?

You are opening the file in text mode. That means that the first Ctrl-Z character is considered as an end-of-file character. Specify 'rb' instead of 'r' in open().

I don't know if this will work for sure, but you could try using the IO methods in the codec module:
import codec
inFile = codec.open(<SAME ARGS AS 'OPEN'>, 'utf-8')
for line in inFile.readline():
do_stuff()
You can treat the inFile just like a normal FILE object.
This may or may not help you, but it probably will.
[EDIT]
Basically you'll replace: h=open(os.path.join(root, rawfile),'r') with h=open(os.path.join(root, rawfile),'r', 'utf-8')

The file.read() function will read until EOF.
As you said it stops too early you want to continue reading the file even when hitting an EOF.
Make sure to stop when you have read the entire file. You can do this by checking the position in the file via file.tell() when hitting an EOF and stopping when you hit the file-size (read file-size prior to reading).
As this is rather complex you may want to use file.next and iterate over bytes.
To remove non-ascii characters you can either use a white-list for specific characters or check the read Byte against a range your define.
E.g. is the Byte between x30 and x39 (a number) -> keep it / save it somewhere / add it to a string.
See an ASCII table.