Feedback on v0.14.0 RC1

[jreback]

Issue for feeback / comments on release candidate 1, esp. on the signficant display changes.

[michaelaye]

Love the display of dataframes with cut-out middle parts.
In Safari on OSX (10.9.3) I find it irritating though that I can't see the right end of the table, just the border of right side of the table is not displayed (note that I made sure I scrolled all the way to the right).
Here's a screenshot:
https://www.dropbox.com/s/5kwpzsae4r14akh/Screenshot%202014-05-17%2003.43.19.pdf

[jreback]

I think this has been since before 0.14.0.

@cpcloud want to take a look?

maybe this needs some hint in the html to not cut it off

[cpcloud]

@michaelaye can you post the code that generated this frame? i can't reproduce this.... maybe a safari-only problem?

[TomAugspurger]

I'll try to figure out what's going on tomorrow.

[michaelaye]

df = pd.DataFrame(randn(100,30))

I confirmed that the same happens on Chrome@OSX. At least here.

[patrick-russell]

The central truncation was a little weird at first but I like it. Being able to see the head and tail in one view is really nice. I could see myself changing my default display options to get this view regularly ( keep it set really wide). And saves a df.head() and df.tail() when pulling in data to make sure it's all as I expect.

[rosnfeld]

Love the central truncation. I've also done the same performance tests I mentioned on the mailing list back when 0.13/0.13.1 came out and have found that 0.14 comes in very similar for my use cases to 0.13.1.

[jreback]

@rosnfeld if u have a self contained perf test - pls open an issue for us to look (only vaguely remember you precious one)

[rosnfeld]

Sadly not very self-contained, just the same end-to-end test I mentioned in https://groups.google.com/forum/#!topic/pydata/OHutLByJvK0 which was very "apply"-heavy, and I think you incorporated tests to address that ( #6013 ).

I'm just saying "first impressions are that 0.14 perf is pretty similar to 0.13.1 perf, for my use cases" - would you have expected big gains?

[jreback]

now I remember - I think most of the perf issues were addressed as much as possible in 0.13.1

0.14.0 should be similar to prior versions (except for some specif perf improvements)

but always working in that as a goal

[cpcloud]

there's an issue with the IPython notebook repr of a MultiIndexed DataFrame when the number of columns exceeds pd.options.display.max_columns.

[jreback]

@cpcloud can you spin that off as a sep issue?

[cpcloud]

yep