Why does my Python code print the extra characters "" when reading from a text file?

Question:

try:
    data=open('info.txt')
    for each_line in data:
        try:
            (role,line_spoken)=each_line.split(':',1)
            print(role,end='')
            print(' said: ',end='')
            print(line_spoken,end='')
        except ValueError:
            print(each_line)
    data.close()
except IOError:
     print("File is missing")

When printing the file line by line, the code tends to add three unnecessary characters in the front, namely “”.

Actual output:

Man said:  Is this the right room for an argument?
Other Man said:  I've told you once.
Man said:  No you haven't!
Other Man said:  Yes I have.

Expected output:

Man said:  Is this the right room for an argument?
Other Man said:  I've told you once.
Man said:  No you haven't!
Other Man said:  Yes I have.
Asked By: user5234170

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Answers:

I can’t find a duplicate of this for Python 3, which handles encodings differently from Python 2. So here’s the answer: instead of opening the file with the default encoding (which is 'utf-8'), use 'utf-8-sig', which expects and strips off the UTF-8 Byte Order Mark, which is what shows up as .

That is, instead of

data = open('info.txt')

Do

data = open('info.txt', encoding='utf-8-sig')

Note that if you’re on Python 2, you should see e.g. Python, Encoding output to UTF-8 and Convert UTF-8 with BOM to UTF-8 with no BOM in Python. You’ll need to do some shenanigans with codecs or with str.decode for this to work right in Python 2. But in Python 3, all you need to do is set the encoding= parameter when you open the file.

Answered By: senshin

I had a very similar problem when dealing with excel csv files. Initially I had saved my file from the drop down choices as a .csv utf-8(comma delimited) file. Then I saved it as just a .csv(comma delimited) file and all was well. Perhaps there might be something similar issue with a .txt file

Answered By: gavin

When I had this happen, it only happened to the very first line of my CSV, both reading and writing. For what I was doing, I just made a “sacrificial” entry at the first location so that those charatcers would get added to my sacrifical entry and not any of the ones I cared about. Definitley not a robust solution but was quick and worked for my purposes.

Answered By: Giovanni
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