{"database": "github", "table": "issue_comments", "is_view": false, "human_description_en": "where issue = 208431831 and user = 6628425 sorted by updated_at descending", "rows": [["https://github.com/pydata/xarray/pull/1274#issuecomment-280812037", "https://api.github.com/repos/pydata/xarray/issues/1274", 280812037, "MDEyOklzc3VlQ29tbWVudDI4MDgxMjAzNw==", 6628425, "2017-02-18T01:51:46Z", "2017-02-18T01:51:46Z", "MEMBER", "Cool, I think I have things working now.  Please let me know if you'd like me to make any changes.", "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", null, 208431831], ["https://github.com/pydata/xarray/pull/1274#issuecomment-280643863", "https://api.github.com/repos/pydata/xarray/issues/1274", 280643863, "MDEyOklzc3VlQ29tbWVudDI4MDY0Mzg2Mw==", 6628425, "2017-02-17T13:05:30Z", "2017-02-17T13:05:30Z", "MEMBER", "@shoyer it's entirely possible I'm in over my head here, as I'm not a Windows user, so I can't test this setup locally.  It looks as though using the existing requirements files (which install more than what was specified in the original ```appveyor.yml``` configuration file) was probably not a good idea.\r\n\r\nIf it's a matter of simply creating new requirements files for the Windows environments to mirror what was installed in the original ```appveyor.yml``` file, i.e. pip, pytest, numpy, pandas, scipy, netCDF4, matplotlib, and dask, (this time using the conda-forge channel) then I can probably handle that, but anything more is guesswork on my end, so I'd be fine closing this PR.  I was hoping for a straightforward fix.", "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", null, 208431831]], "truncated": false, "filtered_table_rows_count": 2, "expanded_columns": [], "expandable_columns": [[{"column": "issue", "other_table": "issues", "other_column": "id"}, "title"], [{"column": "user", "other_table": "users", "other_column": "id"}, "login"]], "columns": ["html_url", "issue_url", "id", "node_id", "user", "created_at", "updated_at", "author_association", "body", "reactions", "performed_via_github_app", "issue"], "primary_keys": ["id"], "units": {}, "query": {"sql": "select html_url, issue_url, id, node_id, user, created_at, updated_at, author_association, body, reactions, performed_via_github_app, issue from issue_comments where \"issue\" = :p0 and \"user\" = :p1 order by updated_at desc limit 101", "params": {"p0": "208431831", "p1": "6628425"}}, "facet_results": {"author_association": {"name": "author_association", "type": "column", "hideable": false, "toggle_url": "/github/issue_comments.json?issue=208431831&user=6628425", "results": [{"value": "MEMBER", "label": "MEMBER", "count": 2, "toggle_url": "http://xarray-datasette.fly.dev/github/issue_comments.json?issue=208431831&user=6628425&author_association=MEMBER", "selected": false}], "truncated": false}, "user": {"name": "user", "type": "column", "hideable": false, "toggle_url": "/github/issue_comments.json?issue=208431831&user=6628425", "results": [{"value": 6628425, "label": "spencerkclark", "count": 2, "toggle_url": "http://xarray-datasette.fly.dev/github/issue_comments.json?issue=208431831", "selected": true}], "truncated": false}, "issue": {"name": "issue", "type": "column", "hideable": false, "toggle_url": "/github/issue_comments.json?issue=208431831&user=6628425", "results": [{"value": 208431831, "label": "Switch AppVeyor CI to use conda env / requirements.yml", "count": 2, "toggle_url": "http://xarray-datasette.fly.dev/github/issue_comments.json?user=6628425", "selected": true}], "truncated": false}}, "suggested_facets": [{"name": "created_at", "type": "date", "toggle_url": "http://xarray-datasette.fly.dev/github/issue_comments.json?issue=208431831&user=6628425&_facet_date=created_at"}, {"name": "updated_at", "type": "date", "toggle_url": "http://xarray-datasette.fly.dev/github/issue_comments.json?issue=208431831&user=6628425&_facet_date=updated_at"}], "next": null, "next_url": null, "private": false, "allow_execute_sql": true, "query_ms": 38.92021696083248}