csv23
provides the unicode-based API of the Python 3 csv
module for
Python 2 and 3. Code that should run under both versions of Python can use it
to hide the bytes
vs. text
difference between 2 and 3 and stick to the
newer unicode-based interface.
It uses utf-8
as default encoding everywhere.
csv23
works around for the following bugs in the stdlib csv
module:
- bpo-12178
- broken round-trip with
escapechar
if your data contains a literal escape character (fixed in Python 3.10) - bpo-31590
- broken round-trip with
escapechar
and embedded newlines under Python 2 (fixed in Python 3.4 but not backported): produce a warning
- GitHub: https://github.com/xflr6/csv23
- PyPI: https://pypi.org/project/csv23/
- Documentation: https://csv23.readthedocs.io
- Changelog: https://csv23.readthedocs.io/en/latest/changelog.html
- Issue Tracker: https://github.com/xflr6/csv23/issues
- Download: https://pypi.org/project/csv23/#files
The package also provides some convenience functionality such as the
open_csv()
context manager for opening a CSV file in the right mode and
returning a csv.reader
or csv.writer
:
>>> import csv23
>>> with csv23.open_csv('spam.csv') as reader: # doctest: +SKIP
... for row in reader:
... print(', '.join(row))
Spam!, Spam!, Spam!'
Spam!, Lovely Spam!, Lovely Spam!'
The read_csv()
and write_csv()
functions (available on Python 3 only)
are most useful if you want (or need to) open a file-like object in the calling
code, e.g. when reading or writing directly to a binary stream such as a ZIP
file controlled by the caller (emulated with a io.BytesIO
below):
>>> import io
>>> buf = io.BytesIO()
>>> import zipfile
>>> with zipfile.ZipFile(buf, 'w') as z, z.open('spam.csv', 'w') as f:
... csv23.write_csv(f, [[1, None]], header=['spam', 'eggs'])
<zipfile...>
>>> buf.seek(0)
0
>>> with zipfile.ZipFile(buf) as z, z.open('spam.csv') as f:
... csv23.read_csv(f, as_list=True)
[['spam', 'eggs'], ['1', '']]
csv23
internally wraps the byte stream in a io.TextIOWrapper
with the
given encoding and newline=''
(see csv
module docs).
The write_csv()
-function also supports updating objects with a
.update(<bytes>)
-method such as hashlib.new()
instances, which allows
to calculate a checksum over the binary CSV file output produced from the given
rows without writing it to disk (note that the object is returned):
>>> import hashlib
>>> csv23.write_csv(hashlib.new('sha256'), [[1, None]], header=['spam', 'eggs']).hexdigest()
'aed6871f9ca7c047eb55a569e8337af03fee508521b5ddfe7ad0ad1e1139980a'
Both functions have an optional autocompress
argument: Set it to True
to transparently compress (or decompress) if the file argument is a path that
ends in one of '.bz2'
, '.gz'
, and '.xz'
.
This package runs under Python 2.7, and 3.8+, use pip to install:
$ pip install csv23
- https://docs.python.org/2/library/csv.html#examples (UnicodeReader, UnicodeWriter)
- https://agate.readthedocs.io/en/latest/api/csv.html
- https://pypi.org/project/backports.csv/
- https://pypi.org/project/csv342/
This package is distributed under the MIT license.