issue_comments

Oops I think the url just changed

https://chrisholdgraf.com/blog/2019/2019-10-22-xarray-neuro/

For larger datasets, rather than storing them in github, a good approach is to create an archive on zenodo.org from which the data can be pulled.

Another note from MNE - we have a "datasets" sub-module that knows how to pull a few datasets from various online repositories (and in different structures). These store in a local folder (by default, ~/mne_data I believe) and then they get fast-loaded after the first download. Many of the datasets are then stored in online repositories like OSF (https://osf.io/rxvq7/).

For datasets that aren't gigantic it's a pretty nice system. https://mne.tools/stable/overview/datasets_index.html?highlight=datasets

In case it's helpful for inspiration, we took a similar approach with the MNE-Python package (neuro electrophysiology package):

https://mne.tools/stable/index.html

Maybe there are at least 3 levels in there, actually:

• Examples - short vignettes that highlight one very specific piece of functionality, key-words for the example should be ctrl-fable in the title
• Tutorials - in-depth guides through a common part of workflow that xarray wishes to enable, with more explanation and detail
• Domain use-cases - examples of how xarray can facilitate use-cases in particular fields. Probably cover at a high-level many of the steps that multiple tutorials cover in-depth. More for "inspiration and buy-in" than in-depth learning.

Does that make sense?

Actually, no that's totally out of date now haha. Thanks for reminding me I should update that

edit: realized I should have said what I'm actually using - I'm using this:https://jupyterbook.org/features/page.html

this is awesome! I was so excited about it that I updated my little blog post with the latest xarray master https://predictablynoisy.com/xarray-explore-ieeg

I was a little sad at the gigantic repr that came out of my DataArray, and now it is nice and tidy html!

whoops - that's what I get for not putting this on my to-do list...totally forgot about this issue. My bad, but thanks for fixing!

Cool - I'll make a PR in the next week or two...I know this isn't a big change but have a few deadlines in the coming days.

So it looks like the relevant code is somewhere around here, no? Is "auto-coords" done in many other places in the codebase?

And as far as future behavior, do you imagine just changing the utils.is_dict_like bits so that instead of doing magical stuff under the hood, they just throw an error from now on?

Lemme take a look at the code tomorrow. I'm pretty new to xarray but I've been meaning to learn it a bit more :-) On Jan 26, 2016 9:51 PM, "Stephan Hoyer" notifications@github.com wrote:

Any interest in putting together a PR? :)

On Tue, Jan 26, 2016 at 9:46 PM, Chris Holdgraf notifications@github.com wrote:

That sounds like a fair plan to me - throwing errors etc definitely complicates things more than just deprecating the option :)

On Tue, Jan 26, 2016 at 8:58 PM, Joe Hamman notifications@github.com wrote:

So I would support deprecating supplying dict-like coordinates without explicitly provided dims. It's more magic than we really need. This line is in the relevant code path.

I've also run into this and I'm [image: :+1:] on this solution.

— Reply to this email directly or view it on GitHub https://github.com/pydata/xarray/issues/727#issuecomment-175399404.

— Reply to this email directly or view it on GitHub https://github.com/pydata/xarray/issues/727#issuecomment-175414737.

— Reply to this email directly or view it on GitHub https://github.com/pydata/xarray/issues/727#issuecomment-175415408.

That sounds like a fair plan to me - throwing errors etc definitely complicates things more than just deprecating the option :)

On Tue, Jan 26, 2016 at 8:58 PM, Joe Hamman notifications@github.com wrote:

So I would support deprecating supplying dict-like coordinates without explicitly provided dims. It's more magic than we really need. This line is in the relevant code path.

I've also run into this and I'm [image: :+1:] on this solution.

— Reply to this email directly or view it on GitHub https://github.com/pydata/xarray/issues/727#issuecomment-175399404.