csv342 is a Python module similar to the the csv module in the standard library. Under Python 3, it just calls the standard csv module. Under Python 2, it provides a Python 3 like interface to reading and writing CSV files, in particular concerning non ASCII characters.
It is distributed under the BSD license. The source code is available from https://github.com/roskakori/csv342.
To install, simply run:
$ pip install --upgrade csv342
Alternatively you can download the distributin archive from
http://pypi.python.org/pypi/csv342/, unpack it and copy csv342.py
into
your application path.
First, consider changing all string literals in you source code to
unicode
instead of str
under Python 2 using to avoid the
messy u
string prefix.
>>> from __future__ import unicode_literals
The following examples assume you did that, making your Python 2 code look like Python 3 even more.
Once you import csv342
using
>>> import csv342 as csv
your code can call CSV functions the same way independent of whether it runs
under Python 2 or 3. First, let's write a few test data to a io.StringIO
:
>>> import io
>>> csv_stream = io.StringIO()
>>> csv_writer = csv.writer(csv_stream)
>>> csv_writer.writerow(['a', 'b'])
>>> csv_writer.writerow(['1', '"x"'])
>>> csv_content = csv_stream.getvalue()
>>> str(csv_content)
'a,b\r\n1,"""x"""\r\n'
To read data from a io.StringIO
use:
>>> csv_stream = io.StringIO('a,b\r\n1,"""x"""\r\n')
>>> csv_reader = csv.reader(csv_stream)
>>> for row in csv_reader:
>>> print(row)
To read a UTF-8 encoded CSV file with non ASCII characters use:
>>> csv_path = os.path.join('test', 'utf-8.csv')
>>> with io.open(csv_path, encoding='utf-8', newline='') as csv_file:
>>> csv_reader = csv.reader(csv_file, delimiter=',')
>>> for row in csv_reader:
>>> print('row {0:d}: data={1}'.format(csv_reader.line_num, row))
- Supports Python 2's
unicode
strings. - Provides
reader
,writer
,DictReader
andDictWriter
. - Supports reading and writing with files,
io.StringIO
etc. - Rejects attempts to read or write with
cStringIO
orStringIO.StringIO
(which do not really work withunicode
); useio.StringIO
instead.
- All limitations of the standard
csv
module apply. - Uses the standard
csv.Sniffer
under Python 2. - Requires Python 2.6 or later.
Processing a CSV with Python 2 using csv342
is about 30% slower than
processing it with Python 3. This is probably due the fact that under Python
2 there is an intermediate translation to UTF-8 using pure Python code while
in Python 3 uses mostly native code.
Provided you have both Python 2 and 3 installed on the same machine, you can test this yourself running:
python3 test/performance.py python2 test/performance.py
On an ancient laptop with a core 2 duo Intel CPU and Ubuntu 14.04, this takes 10.2 seconds respectively 13.6 seconds.
Copyright (c) 2016-2018, Thomas Aglassinger All rights reserved.
Distributed under the BSD License. For more information, see LICENSE.txt.
Version 1.0.0, 2018-04-02
* Fixed DictReader
so that it can now read from a list of lines
(issue #1, contributed by Lucas Wiman).
- Fixed
AttributeError
inStringIO
test (contributed by Lucas Wiman).
Version 0.2, 2016-04-17
* Fixed version number when running under Python 3.
* Fixed helper constant IS_PYHTON2
which always was False
.
* Added remaining symbols from Python 2's csv
module.
Version 0.1, 2016-04-16 * Initial release.