issues
1 row where state = "open" and user = 90059220 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1268821199 | I_kwDOAMm_X85LoKzP | 6691 | Rolling.argmin() and Rolling.argmax() over multiple dimensions does not work | AlxLhrNc 90059220 | open | 0 | 2 | 2022-06-13T02:42:14Z | 2022-06-17T02:54:27Z | NONE | What is your issue?I am working with Traceback (most recent call last): Input In [48] in <cell line: 3> File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\xarray\core\rolling.py:122 in method return self._numpy_or_bottleneck_reduce( File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\xarray\core\rolling.py:541 in _numpy_or_bottleneck_reduce return self.reduce(array_agg_func, keep_attrs=keep_attrs, **kwargs) File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\xarray\core\rolling.py:428 in reduce result = windows.reduce( File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\xarray\core\dataarray.py:2696 in reduce var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs) File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\xarray\core\variable.py:1804 in reduce data = func(self.data, axis=axis, **kwargs) File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\xarray\core\duck_array_ops.py:335 in f return func(values, axis=axis, **kwargs) File <array_function internals>:180 in argmax File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\numpy\core\fromnumeric.py:1216 in argmax return _wrapfunc(a, 'argmax', axis=axis, out=out, **kwds) File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\numpy\core\fromnumeric.py:66 in _wrapfunc return _wrapit(obj, method, args, *kwds) File ~\Installed_Programs\Anaconda3\envs\phd\lib\site-packages\numpy\core\fromnumeric.py:43 in _wrapit result = getattr(asarray(obj), method)(args, *kwds) TypeError: 'tuple' object cannot be interpreted as an integer
Any insight on what I am doing wrong ? |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/6691/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
xarray 13221727 | issue |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issues] (
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[number] INTEGER,
[title] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[state] TEXT,
[locked] INTEGER,
[assignee] INTEGER REFERENCES [users]([id]),
[milestone] INTEGER REFERENCES [milestones]([id]),
[comments] INTEGER,
[created_at] TEXT,
[updated_at] TEXT,
[closed_at] TEXT,
[author_association] TEXT,
[active_lock_reason] TEXT,
[draft] INTEGER,
[pull_request] TEXT,
[body] TEXT,
[reactions] TEXT,
[performed_via_github_app] TEXT,
[state_reason] TEXT,
[repo] INTEGER REFERENCES [repos]([id]),
[type] TEXT
);
CREATE INDEX [idx_issues_repo]
ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
ON [issues] ([user]);