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  • xarray · 5 ✖
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 clarkfitzg 5356122 closed 0   0.6 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 

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     xarray 13221727 pull
100692054 MDExOlB1bGxSZXF1ZXN0NDIzMTU4Nzg= 529 Issue #526 F8 values are incorrectly coerced to F4 when writing NETCD… petercable 6645714 closed 0   0.6 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

 
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     xarray 13221727 pull
99832521 MDExOlB1bGxSZXF1ZXN0NDE5NjAxODk= 520 added to_masked_array method and masked_array property jhamman 2443309 closed 0   0.6 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 

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     xarray 13221727 pull
95991680 MDExOlB1bGxSZXF1ZXN0NDAzMjQ2MzU= 481 Add pointwise indexing via isel_points method jhamman 2443309 closed 0   0.6 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 <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

 
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     xarray 13221727 pull
96123605 MDExOlB1bGxSZXF1ZXN0NDAzODAzNjk= 483 Add plot_pcolormesh shoyer 1217238 closed 0   0.6 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 

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     xarray 13221727 pull

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