My bad. I think I need to clarify my objective. I definitely understand the issues regarding serialization/deserialization on JSON, i.e. decimals as strings, etc., and hooking in a default serializer function is easy enough. I guess my question is more related to why the csv writer and DictWriter don't provide similar functionality for serialization/deserialization hooks? There seems to be a wide gap between reaching for a tool like pandas were maybe too much auto-magical parsing and guessing happens, and wrapping the functionality around the csv module IMO. I was curious to see if anyone else had similar opinions, and if so, whether conversion around what extended functionality would be most fruitful?
On Fri, Nov 2, 2018 at 11:28 AM Calvin Spealman <cspea...@redhat.com> wrote: > First, this list is not appropriate. You should ask such a question in > python-list. > > Second, JSON is a specific serialization format that explicitly rejects > datetime objects in *all* the languages with JSON libraries. You can only > use date objects in JSON if you control or understand both serialization > and deserialization ends and have an agreed representation. > > On Fri, Nov 2, 2018 at 12:20 PM Philip Martin <philip.martin2...@gmail.com> > wrote: > >> Is there any reason why date, datetime, and UUID objects automatically >> serialize to default strings using the csv module, but json.dumps throws an >> error as a default? i.e. >> >> import csv >> import json >> import io >> from datetime import date >> >> stream = io.StringIO() >> writer = csv.writer(stream) >> writer.writerow([date(2018, 11, 2)]) >> # versus >> json.dumps(date(2018, 11, 2)) >> >> _______________________________________________ >> Python-ideas mailing list >> Python-ideas@python.org >> https://mail.python.org/mailman/listinfo/python-ideas >> Code of Conduct: http://python.org/psf/codeofconduct/ >> >
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