Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

INT: support DatetimeBlock with timezones #8260

Closed
jreback opened this issue Sep 12, 2014 · 3 comments · Fixed by #10477
Closed

INT: support DatetimeBlock with timezones #8260

jreback opened this issue Sep 12, 2014 · 3 comments · Fixed by #10477
Labels
Internals Related to non-user accessible pandas implementation Timezones Timezone data dtype
Milestone
0.17.0

Comments

@jreback
Copy link
Contributor

jreback commented Sep 12, 2014

to allow real support / conversions of timezone aware Series.
xref #9560; DatetimeIndex.to_series() can be changed to preserve the tz always
@jreback jreback added Internals Related to non-user accessible pandas implementation Timezones Timezone data dtype labels Sep 12, 2014
@jreback jreback added this to the 0.16 milestone Sep 12, 2014
@jreback jreback mentioned this issue Sep 12, 2014
Closed
@jreback jreback modified the milestones: 0.16, 0.15.1 Oct 7, 2014
@jreback jreback mentioned this issue Oct 30, 2014
Closed
@jreback jreback mentioned this issue Jan 13, 2015
Closed
@jreback jreback modified the milestones: 0.16.0, Next Major Release Mar 6, 2015
@jreback jreback mentioned this issue Mar 23, 2015
Closed
@jreback jreback mentioned this issue May 22, 2015
Closed
@ssanderson
Copy link
Contributor

@jreback I think this affects https://github.com/quantopian/zipline in a pretty significant way. What's involved in implementing this?

@jreback
Copy link
Contributor Author

jreback commented Jun 22, 2015

what do u mean significant way?

@ssanderson
Copy link
Contributor

meaning, we do a lot of operations on timezone-aware datetime data in pandas, and from reading #10192 it looks like that has a nontrivial performance impact.

@jreback jreback mentioned this issue Jun 30, 2015
Merged
5 tasks
jreback added a commit to jreback/pandas that referenced this issue Aug 14, 2015
@jreback
API: add DatetimeBlockTZ pandas-dev#8260
6beba0d 
fix scalar comparisons vs None generally

fix NaT formattting in Series

TST: skip postgresql test with tz's

update for msgpack

Conflicts:
	pandas/core/base.py
	pandas/core/categorical.py
	pandas/core/format.py
	pandas/tests/test_base.py
	pandas/util/testing.py

full interop for tz-aware Series & timedeltas pandas-dev#10763
@jreback jreback modified the milestones: 0.17.0, Next Major Release Sep 4, 2015
jreback added a commit to jreback/pandas that referenced this issue Sep 5, 2015
@jreback
API: add DatetimeBlockTZ pandas-dev#8260
27b7b1e 
fix scalar comparisons vs None generally

fix NaT formattting in Series

TST: skip postgresql test with tz's

update for msgpack

Conflicts:
	pandas/core/base.py
	pandas/core/categorical.py
	pandas/core/format.py
	pandas/tests/test_base.py
	pandas/util/testing.py

full interop for tz-aware Series & timedeltas pandas-dev#10763
jreback added a commit that referenced this issue Sep 5, 2015
@jreback
Merge pull request #10477 from jreback/tz
666540f 
API: add DatetimeBlockTZ #8260
nickeubank pushed a commit to nickeubank/pandas that referenced this issue Sep 29, 2015
@jreback
API: add DatetimeBlockTZ pandas-dev#8260
1cbdcb5 
fix scalar comparisons vs None generally

fix NaT formattting in Series

TST: skip postgresql test with tz's

update for msgpack

Conflicts:
	pandas/core/base.py
	pandas/core/categorical.py
	pandas/core/format.py
	pandas/tests/test_base.py
	pandas/util/testing.py

full interop for tz-aware Series & timedeltas pandas-dev#10763
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
Internals Related to non-user accessible pandas implementation Timezones Timezone data dtype
Projects
None yet
Milestone
0.17.0
Development

Successfully merging a pull request may close this issue.

API: add DatetimeBlockTZ #8260 jreback/pandas
2 participants
@jreback @ssanderson