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id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
40324635 MDExOlB1bGxSZXF1ZXN0NDAzMjQ2MzU= 481 closed 0 Add pointwise indexing via isel_points method jhamman 2443309 This provides behavior equivalent to numpy slicing with multiple lists. ## Example ``` python >>> da = xray.DataArray(np.arange(56).reshape((7, 8)), dims=['x', 'y']) >>> da <xray.DataArray (x: 7, y: 8)> array([[ 0, 1, 2, 3, 4, 5, 6, 7], [ 8, 9, 10, 11, 12, 13, 14, 15], [16, 17, 18, 19, 20, 21, 22, 23], [24, 25, 26, 27, 28, 29, 30, 31], [32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47], [48, 49, 50, 51, 52, 53, 54, 55]]) Coordinates: * x (x) int64 0 1 2 3 4 5 6 * y (y) int64 0 1 2 3 4 5 6 7 >>> da.isel_points(x=[0, 1, 6], y=[0, 1, 0]) <xray.DataArray (points: 3)> array([ 0, 9, 48]) Coordinates: y (points) int64 0 1 0 x (points) int64 0 1 6 * points (points) int64 0 1 2 ``` related: #475 2015-07-20T05:41:36Z 2015-07-27T05:37:19Z 2015-07-27T05:04:46Z 2015-07-27T05:04:46Z ca0d6d6dee86e11170363cc226ec13c553ad5232   0.6 1213895 0 5ab9d4b2f65584aac74e0e54050a84a1a0697773 1faf1b2cbf0cbed1d1b62b71df4aec8dbe63bb99 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/481  
40380369 MDExOlB1bGxSZXF1ZXN0NDAzODAzNjk= 483 closed 0 Add plot_pcolormesh shoyer 1217238 cc @clarkfitzg 2015-07-20T18:10:34Z 2015-07-21T01:24:10Z 2015-07-21T01:24:08Z 2015-07-21T01:24:07Z 59667da1fce8a52f299867c46bdefc3a19c4a37e   0.6 1213895 0 a05502e09804968795074878fb6d71ac5836ee9d 1faf1b2cbf0cbed1d1b62b71df4aec8dbe63bb99 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/483  
41960189 MDExOlB1bGxSZXF1ZXN0NDE5NjAxODk= 520 closed 0 added to_masked_array method and masked_array property jhamman 2443309 This PR adds convienience methods to convert DataArrays to numpy masked arrays. `DataArray.to_masked_array(copy=True)` returns a numpy Masked array `DataArray.masked_array` returns a masked array that is a view to the `DataArray.values.` closes #460 2015-08-08T20:47:41Z 2015-08-12T18:34:17Z 2015-08-12T18:34:16Z 2015-08-12T18:34:16Z 283940acff0b2d9eece93f3a423d4c0d510ce907   0.6 1213895 0 84ee4d0f61a3b9f7c45589568690fa10a67f87b8 200aeb006781528cf6d4ca2f118d7f9257bd191b MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/520  
42315878 MDExOlB1bGxSZXF1ZXN0NDIzMTU4Nzg= 529 closed 0 Issue #526 F8 values are incorrectly coerced to F4 when writing NETCD… petercable 6645714 …F3-compatible formats 2015-08-13T05:18:22Z 2015-08-19T18:29:04Z 2015-08-19T18:28:59Z 2015-08-19T18:28:59Z d991778890c0151bc32e935f839c275547dd6742   0.6 1213895 0 2934036b344a82bdb0d93759a42a5b08eaca8e8a b2fb18eafe73621a623039ff33eaf6f8cdba7a25 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/529  
42734358 MDExOlB1bGxSZXF1ZXN0NDI3MzQzNTg= 539 closed 0 release notes for plotting clarkfitzg 5356122 cc @shoyer 2015-08-18T18:50:11Z 2015-08-20T00:19:21Z 2015-08-19T18:26:50Z 2015-08-19T18:26:50Z 4d8c4f1a35236bbe312a2885697c17efc6b5a39d   0.6 1213895 0 315a1d9ec224d99c5a64264aea28e10142eca787 9434b8e4ebb4ba9e29ca5483f9b25ecdb46a4317 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/539  

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CREATE TABLE [pull_requests] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [state] TEXT,
   [locked] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [body] TEXT,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [draft] INTEGER,
   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
    ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
    ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
    ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
    ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);