issue_comments

Table actions

3 rows where issue = 485446209 and user = 490531 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

  • ArchangeGabriel · 3 ✖

issue 1

  • Warnings in the test suite · 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
589032374 https://github.com/pydata/xarray/issues/3266#issuecomment-589032374 https://api.github.com/repos/pydata/xarray/issues/3266 MDEyOklzc3VlQ29tbWVudDU4OTAzMjM3NA== ArchangeGabriel 490531 2020-02-20T13:48:15Z 2020-02-20T13:48:15Z CONTRIBUTOR

These are the (much less numerous) warnings without pint: ``` =============================== warnings summary =============================== xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods xarray/tests/test_accessor_str.py::test_empty_str_methods /build/python-xarray/src/xarray-0.15.0/xarray/core/duck_array_ops.py:224: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison flag_array = (arr1 == arr2) | (isnull(arr1) & isnull(arr2))

xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF3ViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_orthogonal_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_vectorized_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestNetCDF4ClassicViaNetCDF4Data::test_array_type_after_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_orthogonal_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_vectorized_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing xarray/tests/test_backends.py::TestGenericNetCDFData::test_array_type_after_indexing <array_function internals>:5: DeprecationWarning: np.alen is deprecated, use len instead

xarray/tests/test_concat.py::test_concat_compat /build/python-xarray/src/xarray-0.15.0/xarray/core/dataarray.py:669: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison return key in self.data

xarray/tests/test_dataarray.py::TestDataArray::test_stack_unstack /usr/lib/python3.8/site-packages/pandas/util/init.py:12: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead. import pandas.util.testing

xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_empty_series /build/python-xarray/src/xarray-0.15.0/xarray/tests/test_dataarray.py:3468: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning. expected = pd.Series([])

xarray/tests/test_duck_array_ops.py::test_datetime_mean[False] xarray/tests/test_duck_array_ops.py::test_datetime_mean[False] xarray/tests/test_groupby.py::test_groupby_drops_nans /build/python-xarray/src/xarray-0.15.0/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice return np.nanmean(a, axis=axis, dtype=dtype) ```

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Warnings in the test suite 485446209
587593888 https://github.com/pydata/xarray/issues/3266#issuecomment-587593888 https://api.github.com/repos/pydata/xarray/issues/3266 MDEyOklzc3VlQ29tbWVudDU4NzU5Mzg4OA== ArchangeGabriel 490531 2020-02-18T18:00:40Z 2020-02-18T18:00:40Z CONTRIBUTOR

Even 99% by number. ;) And essentially only one warning repeated 5k times.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Warnings in the test suite 485446209
587574737 https://github.com/pydata/xarray/issues/3266#issuecomment-587574737 https://api.github.com/repos/pydata/xarray/issues/3266 MDEyOklzc3VlQ29tbWVudDU4NzU3NDczNw== ArchangeGabriel 490531 2020-02-18T17:19:27Z 2020-02-18T17:19:27Z CONTRIBUTOR

If people want more, here are some from a fresh compilation: https://paste.xinu.at/LnH/

 
{
    "total_count": 2,
    "+1": 0,
    "-1": 0,
    "laugh": 2,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Warnings in the test suite 485446209

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]);