Comments (2)
Hi @jbdesbas, thanks for the kinds words and for opening this issue! What exactly do you have in mind for the functionality that we can add to CleverCSV to make this easier? A wrapper function perhaps that returns dicts or rows of the CSV file similar to stream_table and stream_dicts (or modification of these to accept sys.stdin)?
Note that the example you shared is very similar to the standardize command in the CLI. If that command is what you're looking for, issue #107 could capture your request too (please let me know).
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Hi @GjjvdBurg
Yes, I think read/stream table accepting sys.stdin instead of just filename would be a great improvement. 👍
My need is sligthy different that the standardize command do : standardize keep the original encoding for the output file, but I need an UTF8 file as output (regardless of orignal encoding). Additionally, my original script do other stuff between reading and writing (add suffix in order to deduplicate columns names).
However, standardize should accept stdin as input too.
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Related Issues (20)
- Allow avoidance of Pandas dependency HOT 1
- Add link to the ReadTheDocs page in the README and on the Pypi posting
- Add a `clevercsv.standardize(...)` function that performs the actions of the `standardize` CLI call HOT 2
- Confidence score
- a standardize that fixes? HOT 5
- Create a conda package HOT 1
- allowed delimiters? HOT 1
- can this detect the datatype (ie timestamp, int, double, string) of each column in csv? HOT 1
- delimiter detection error HOT 4
- precedence for delimiter characters? HOT 1
- Invalid abstract representation of the file with repeating newline HOT 1
- Testsuite failure with Python 3.11 HOT 9
- Please migrate away from setup.py HOT 6
- 0.7.4: pep517 build fails HOT 5
- cchardet is no longer maintained HOT 1
- 0.7.5: pytest is failing in `tests/test_unit/test_encoding.py::EncodingTestCase::test_encoding_cchardet` unit HOT 4
- A Possible Typo in the Readthedocs docs of Clevercsv package. HOT 2
- allow more rows to be checked
- Detection breaks on good file
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