A simple program for reading a CSV file inside a zip file works in Python 2.7, but not in Python 3.2
$ cat test_zip_file_py3k.py import csv, sys, zipfile zip_file = zipfile.ZipFile(sys.argv[1]) items_file = zip_file.open('items.csv', 'rU') for row in csv.DictReader(items_file): pass $ python2.7 test_zip_file_py3k.py ~/data.zip $ python3.2 test_zip_file_py3k.py ~/data.zip Traceback (most recent call last): File "test_zip_file_py3k.py", line 8, in <module> for row in csv.DictReader(items_file): File "/home/msabramo/run/lib/python3.2/csv.py", line 109, in __next__ self.fieldnames File "/home/msabramo/run/lib/python3.2/csv.py", line 96, in fieldnames self._fieldnames = next(self.reader) _csv.Error: iterator should return strings, not bytes (did you open the file in text mode?)
So the csv
module in Python 3 wants to see a text file, but zipfile.ZipFile.open
returns a zipfile.ZipExtFile
that is always treated as binary data.
How does one make this work in Python 3?
txt, . doc and . xls files into . zip files. Zip files are compressed data files that allow you to send, transport, e-mail and download faster [source: WinZip].
While it is possible to write zipped datasets using the Generic writer, it is not possible to read them using the Generic Reader with the format set to Guess format name from Extension. Reading from a password-protected zip file is not currently supported.
Method #1: Using compression=zip in pandas. read_csv() method. By assigning the compression argument in read_csv() method as zip, then pandas will first decompress the zip and then will create the dataframe from CSV file present in the zipped file.
I just noticed that Lennart's answer didn't work with Python 3.1, but it does work with Python 3.2. They've enhanced zipfile.ZipExtFile
in Python 3.2 (see release notes). These changes appear to make zipfile.ZipExtFile
work nicely with io.TextWrapper
.
Incidentally, it works in Python 3.1, if you uncomment the hacky lines below to monkey-patch zipfile.ZipExtFile
, not that I would recommend this sort of hackery. I include it only to illustrate the essence of what was done in Python 3.2 to make things work nicely.
$ cat test_zip_file_py3k.py import csv, io, sys, zipfile zip_file = zipfile.ZipFile(sys.argv[1]) items_file = zip_file.open('items.csv', 'rU') # items_file.readable = lambda: True # items_file.writable = lambda: False # items_file.seekable = lambda: False # items_file.read1 = items_file.read items_file = io.TextIOWrapper(items_file) for idx, row in enumerate(csv.DictReader(items_file)): print('Processing row {0} -- row = {1}'.format(idx, row))
If I had to support py3k < 3.2, then I would go with the solution in my other answer.
You can wrap it in a io.TextIOWrapper.
items_file = io.TextIOWrapper(items_file, encoding='your-encoding', newline='')
Should work.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With