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 101724822,MDExOlB1bGxSZXF1ZXN0NDI3MzQzNTg=,539,release notes for plotting,5356122,closed,0,,1213895,2,2015-08-18T18:50:11Z,2015-08-20T00:19:21Z,2015-08-19T18:26:50Z,MEMBER,,0,pydata/xarray/pulls/539,"cc @shoyer ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/539/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 100692054,MDExOlB1bGxSZXF1ZXN0NDIzMTU4Nzg=,529,Issue #526 F8 values are incorrectly coerced to F4 when writing NETCD…,6645714,closed,0,,1213895,3,2015-08-13T05:18:22Z,2015-08-19T18:29:04Z,2015-08-19T18:28:59Z,CONTRIBUTOR,,0,pydata/xarray/pulls/529,"…F3-compatible formats ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/529/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 99832521,MDExOlB1bGxSZXF1ZXN0NDE5NjAxODk=,520,added to_masked_array method and masked_array property ,2443309,closed,0,,1213895,4,2015-08-08T20:47:41Z,2015-08-12T18:34:17Z,2015-08-12T18:34:16Z,MEMBER,,0,pydata/xarray/pulls/520,"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 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/520/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 95991680,MDExOlB1bGxSZXF1ZXN0NDAzMjQ2MzU=,481,Add pointwise indexing via isel_points method,2443309,closed,0,,1213895,5,2015-07-20T05:41:36Z,2015-07-27T05:37:19Z,2015-07-27T05:04:46Z,MEMBER,,0,pydata/xarray/pulls/481,"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 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]) 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 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/481/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 96123605,MDExOlB1bGxSZXF1ZXN0NDAzODAzNjk=,483,Add plot_pcolormesh,1217238,closed,0,,1213895,1,2015-07-20T18:10:34Z,2015-07-21T01:24:10Z,2015-07-21T01:24:08Z,MEMBER,,0,pydata/xarray/pulls/483,"cc @clarkfitzg ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/483/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull