issue_comments

Table actions

3 rows where issue = 216621142 and user = 601025 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

issue 1

  • Image related methods · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
399514847 https://github.com/pydata/xarray/issues/1323#issuecomment-399514847 https://api.github.com/repos/pydata/xarray/issues/1323 MDEyOklzc3VlQ29tbWVudDM5OTUxNDg0Nw== ebo 601025 2018-06-22T17:12:59Z 2018-06-22T17:12:59Z NONE

On Jun 22 2018 10:10 AM, Scott wrote:

Hey Devs and Users... Just about to embark on a project where I want to populate an X-Array data set with a set of images.. Did this progress? Just trying to save an hour building my own hook to skimage

I have not built hooks into skimage. If you get that to work I would if you could share with me 8-) I'm not fully sure of how to make that work in production, but I would be glad to help test.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Image related methods 216621142
373821913 https://github.com/pydata/xarray/issues/1323#issuecomment-373821913 https://api.github.com/repos/pydata/xarray/issues/1323 MDEyOklzc3VlQ29tbWVudDM3MzgyMTkxMw== ebo 601025 2018-03-16T19:33:01Z 2018-03-16T19:33:01Z NONE

thank you. I had stumbled onto the "tags" yesterday and had not had time to post back here that I had found it, and sorted through all the tags(), tags(1), and tags(ns="something"). The thing that was quite confusing was you access them in GDAL via GetMetadata, and not GetTags. So, I think I am sorted now. I would agree that there needs to be more info there, but it is possible that it is already available, but not in a single place.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Image related methods 216621142
372482940 https://github.com/pydata/xarray/issues/1323#issuecomment-372482940 https://api.github.com/repos/pydata/xarray/issues/1323 MDEyOklzc3VlQ29tbWVudDM3MjQ4Mjk0MA== ebo 601025 2018-03-12T22:24:27Z 2018-03-12T22:24:27Z NONE

When I open up a tiff file, it only shows a few attributes. I have some images which have extensive provenance metadata. How do you access them?

eg: NITF_CSEXRA_SENSOR=PAN NITF_PIAIMC_SENSNAME=QB02 ...

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Image related methods 216621142

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);