html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/466#issuecomment-122745978,https://api.github.com/repos/pydata/xarray/issues/466,122745978,MDEyOklzc3VlQ29tbWVudDEyMjc0NTk3OA==,1217238,2015-07-20T03:20:11Z,2015-07-20T03:20:11Z,MEMBER,"Let's follow up on this with some smaller PRs.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,94417601
https://github.com/pydata/xarray/pull/466#issuecomment-122618273,https://api.github.com/repos/pydata/xarray/issues/466,122618273,MDEyOklzc3VlQ29tbWVudDEyMjYxODI3Mw==,1217238,2015-07-19T03:01:36Z,2015-07-19T03:01:36Z,MEMBER,"> Re Python 3 compatibility with xray.DataArray(d_ylog, zip(('y', 'x'), (y, x))) it would be nice if the DataArray constructor accepted an iterable. Thoughts?

Agreed. Want to add a fix?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,94417601
https://github.com/pydata/xarray/pull/466#issuecomment-122582764,https://api.github.com/repos/pydata/xarray/issues/466,122582764,MDEyOklzc3VlQ29tbWVudDEyMjU4Mjc2NA==,1217238,2015-07-18T19:18:24Z,2015-07-18T19:18:24Z,MEMBER,"Have you tried the ioos conda channel for cartopy? They do a really nice job maintaining builds.

On Sat, Jul 18, 2015 at 11:30 AM, Joe Hamman notifications@github.com
wrote:

> @clarkfitzg - I just spent some time running through your examples and trying to plot some of my own data.  Overall - this is really slick and I really liked what you have going here. Below are a few comments I made along the way - take them or leave them.
> 1. Consider `yincrease=True` as the default. Maybe there is a downside to this but I don't see it. I'm pretty sure it is just the convention of `imshow`.
> 1. It may be worth mentioning why you are using `imshow` over `pcolormesh`. The limitation of `imshow` having regularly spaced coordinates will be important to some (myself included). We may, at some point, want to add an option for using `pcolormesh`. This would support irregular grids without forcing the use of `contourf`.
> 1. More examples with `cartopy` would be good.  Maybe we can put together example page here: http://xray.readthedocs.org/en/latest/examples.html
> 
> ## 1.  I continue to have cartopy install problems on osx, even with python2.7 using anaconda.  I also had problems on a clean docker image. I know this has nothing to do with this PR but the problems with installing cartopy will limit its applicability here.
> 
> Reply to this email directly or view it on GitHub:
> https://github.com/xray/xray/pull/466#issuecomment-122576123
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,94417601
https://github.com/pydata/xarray/pull/466#issuecomment-122483377,https://api.github.com/repos/pydata/xarray/issues/466,122483377,MDEyOklzc3VlQ29tbWVudDEyMjQ4MzM3Nw==,1217238,2015-07-18T04:40:38Z,2015-07-18T04:40:38Z,MEMBER,"@jhamman  I'd be happy to bundle viridis with xray as the default colormap (the source code is [here](https://github.com/BIDS/colormap/blob/master/option_d.py)) -- or we could just wait a few months, at which time it will be the matplotlib default.

@nbren12 Seaborn has some heuristics for picking sequential vs diverging colormaps. Possibly worth borrowing: https://github.com/mwaskom/seaborn/blob/v0.6.0/seaborn/matrix.py#L158

My inclination is to merge this on master and iterate in future PRs. There are still a few things to fix, but this is a great start.
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