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Unify datetime parsing #6010

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ghost opened this issue Jan 20, 2014 · 1 comment
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Unify datetime parsing #6010

ghost opened this issue Jan 20, 2014 · 1 comment
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Datetime Datetime data dtype Internals Related to non-user accessible pandas implementation Refactor Internal refactoring of code
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@ghost
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ghost commented Jan 20, 2014

Various places in pandas convert a series of datetime strings to datetime64/timestamps/etc' objects. read_csv, to_datetime, upcoming
sql improvements and probably elsewhere.

The code paths each takes are seperate so that fast paths aren't consistently available, and it's difficult to apply improvements such as #6021 in one place
and have them apply everywhere. and there's room for internal incosnistencies in parsing behaviour (#5958).

https://github.com/pydata/pandas/pull/5950/files#r9007497
#4826
#5993

Do something about it.

cc @jreback , @danbirken

@jreback
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jreback commented Feb 15, 2014

pretty much closed by #6021, #5490

@jreback jreback closed this as completed Feb 15, 2014
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Labels
Datetime Datetime data dtype Internals Related to non-user accessible pandas implementation Refactor Internal refactoring of code
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