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.
Improvements
csv23 works around for the following bugs in the stdlib csv module:
Links
GitHub: https://github.com/xflr6/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
Extras
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!'
Python 3 Extras
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'.
Installation
This package runs under Python 2.7, and 3.7+, use pip to install:
$ pip install csv23
See also
License
This package is distributed under the MIT license.
Release files for csv23 0.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| csv23-0.3.4.zip | 42.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| csv23-0.3.4-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 61.1 kB
Release files / csv23-0.3.4.zip
| Download URL | csv23-0.3.4.zip |
|---|---|
| Size | 42.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.4
|
Release files / csv23-0.3.4-py2.py3-none-any.whl
| Download URL | csv23-0.3.4-py2.py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.4
|