issue_comments
4 rows where author_association = "NONE" and issue = 569806418 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Dataset problem with chunk DataArray. · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
590375940 | https://github.com/pydata/xarray/issues/3795#issuecomment-590375940 | https://api.github.com/repos/pydata/xarray/issues/3795 | MDEyOklzc3VlQ29tbWVudDU5MDM3NTk0MA== | JavierRuano 34353851 | 2020-02-24T15:21:42Z | 2020-02-24T15:26:57Z | NONE | df1=xarray.open_mfdataset plus parallel=True df1=df1.rename({'xarray_dataarray_variable':'v'}) The chunksize changes to 365 and the dataset creates inside a Datarray of 365, not the global size which is 14610. [xarray.Dataset('u':df1,'v'df2)] df2 same operation Pseudo Solution for me. xarray.Dataset({'u':df1.u.chunk(14610),'v':df2.v.chunk(14610)},coords={'time':time_Index,'latitude':latitude_Index,'longitude':longitude_Index,'level':level_Index}) |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Dataset problem with chunk DataArray. 569806418 | |
590351872 | https://github.com/pydata/xarray/issues/3795#issuecomment-590351872 | https://api.github.com/repos/pydata/xarray/issues/3795 | MDEyOklzc3VlQ29tbWVudDU5MDM1MTg3Mg== | JavierRuano 34353851 | 2020-02-24T14:39:11Z | 2020-02-24T15:06:16Z | NONE | backends\api.py DATAARRAY_NAME = "xarray_dataarray_name" DATAARRAY_VARIABLE = "xarray_dataarray_variable" The name is auto when i open the file ,xarrray.open_dataset( parallel=True) core\dataarray.py def rename( self, new_name_or_name_dict: Union[Hashable, Mapping[Hashable, Hashable]] = None, **names: Hashable, ) -> "DataArray":
I think an operation changing the previous chunksize or something with xarrray.open_dataset parallel=True, (core\parallel.py) because the chunksize changes to 365 based on days of the year Sorry i cannot help more. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Dataset problem with chunk DataArray. 569806418 | |
590297372 | https://github.com/pydata/xarray/issues/3795#issuecomment-590297372 | https://api.github.com/repos/pydata/xarray/issues/3795 | MDEyOklzc3VlQ29tbWVudDU5MDI5NzM3Mg== | JavierRuano 34353851 | 2020-02-24T12:30:34Z | 2020-02-24T12:30:34Z | NONE | After i modify again the chunksize to 365 to avoid the Memory Error <xarray.Dataset> Dimensions: (latitude: 68, level: 47, longitude: 81, time: 14610) Data variables: u (time, level, latitude, longitude) float32 dask.array<shape=(14610, 47, 68, 81), chunksize=(365, 47, 68, 81)> v (time, level, latitude, longitude) float32 dask.array<shape=(14610, 47, 68, 81), chunksize=(365, 47, 68, 81)> |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Dataset problem with chunk DataArray. 569806418 | |
590294555 | https://github.com/pydata/xarray/issues/3795#issuecomment-590294555 | https://api.github.com/repos/pydata/xarray/issues/3795 | MDEyOklzc3VlQ29tbWVudDU5MDI5NDU1NQ== | JavierRuano 34353851 | 2020-02-24T12:21:39Z | 2020-02-24T12:21:39Z | NONE | The strange is the DataArray chunksize changes after i modify the name 'xarray_dataarray_variable' to use another to the Dataset. <xarray.Dataset> Dimensions: (latitude: 68, level: 47, longitude: 81, time: 14610) Data variables: u (time, level, latitude, longitude) float32 dask.array<shape=(14610, 47, 68, 81), chunksize=(14610, 47, 68, 81)> v (time, level, latitude, longitude) float32 dask.array<shape=(14610, 47, 68, 81), chunksize=(14610, 47, 68, 81)> |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Dataset problem with chunk DataArray. 569806418 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 1