I am opening up an extremely large binary file I am opening in Python 3.5 in file1.py:

with open(pathname, 'rb') as file:for i, line in enumerate(file):# parsing here

However, I naturally get an error because I am reading the file in binary mode and then creating a list of bytes. Then with a for loop, you are comparing string to bytes and here the code fails.

If I was reading in individual lines, I would do this:

with open(fname, 'rb') as f:lines = [x.decode('utf8').strip() for x in f.readlines()]

However, I am using for index, lines in enumerate(file):. What is the correct approach in this case? Do I decode the next objects?

Here is the actual code I am running:

with open(bam_path, 'rb') as file:for i, line in enumerate(file):line_data=pd.DataFrame({k.strip():v.strip()for k,_,v in (e.partition(':')for e in line.split('\t'))}, index=[i])

And here is the error:

Traceback (most recent call last):                                                                                                File "file1.py", line 18, in <module>                                                                                        for e in line.split('\t'))}, index=[i])                                                                                       
TypeError: a bytes-like object is required, not 'str' 

You could feed a generator with the decoded lines to enumerate:

for i, line in enumerate(l.decode(errors='ignore') for l in f):

Which does the trick of yielding every line in f after decoding it. I've added errors='ignore' due to the fact that opening with r failed with an unknown start byte.

As an aside, you could just replace all string literals with byte literals when operating on bytes, i.e: partition(b':'), split(b'\t') and do your work using bytes (pretty sure pandas works fine with them).