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.

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

EXPM: re-evaluate experimental #5049

Closed
3 of 10 tasks
jreback opened this issue Sep 29, 2013 · 6 comments
Closed
3 of 10 tasks

EXPM: re-evaluate experimental #5049

jreback opened this issue Sep 29, 2013 · 6 comments
Labels
Admin Administrative tasks related to the pandas project IO SQL to_sql, read_sql, read_sql_query

Comments

@jreback
Copy link
Contributor

jreback commented Sep 29, 2013

leave as experimental or change docs

@jtratner
Copy link
Contributor

r* flex methods too. They exist, but aren't in the docs yet and need to be tested a bit more. (We could also disable them entirely if you want).

@cpcloud
Copy link
Member

cpcloud commented Oct 1, 2013

should msgpack be added here?

@jreback
Copy link
Contributor Author

jreback commented Oct 1, 2013

yep

@jreback jreback modified the milestones: 0.15.0, 0.14.0 Apr 21, 2014
@jreback jreback changed the title EXPM: 0.14 re-evaluate experimental EXPM: re-evaluate experimental Apr 21, 2014
@jreback jreback modified the milestones: 0.16.0, Next Major Release Mar 3, 2015
@jorisvandenbossche jorisvandenbossche modified the milestones: 1.0, Next Major Release Oct 6, 2016
@jorisvandenbossche
Copy link
Member

SQL changes

I don't think those changes are mentioned anywhere as experimental.

Regarding the first four (gbq, msgpack, eval/query, CustomBusinessDay), are there reasons to still keep them as experimental? (all more than three years old I think)

@TomAugspurger
Copy link
Contributor

The Styler stuff is also marked as experimental, added that. Not sure whether its status should be changed.

eval/query seems fine to me.

Any backwards compatibility issues with msgpack? I haven't used it much, but it's been fine when I have.

@jreback jreback modified the milestones: 1.0, Admin Apr 4, 2017
@TomAugspurger TomAugspurger mentioned this issue Oct 12, 2017
64 tasks
@TomAugspurger TomAugspurger mentioned this issue Dec 12, 2017
58 tasks
@TomAugspurger TomAugspurger mentioned this issue Dec 29, 2017
58 tasks
@jorisvandenbossche jorisvandenbossche mentioned this issue May 15, 2018
71 tasks
@TomAugspurger TomAugspurger removed the Master Tracker High level tracker for similar issues label Jul 6, 2018
@TomAugspurger TomAugspurger removed this from the High Level Issue Tracking milestone Jul 6, 2018
@datapythonista datapythonista added this to the Someday milestone Jul 8, 2018
@mroeschke
Copy link
Member

I think everything in the above issue has either been deprecated/removed or no longer experimental. Closing

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Admin Administrative tasks related to the pandas project IO SQL to_sql, read_sql, read_sql_query
Projects
None yet
Development

No branches or pull requests

7 participants