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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
98498103 MDExOlB1bGxSZXF1ZXN0NDEzOTQyNzY= 507 Add sel_points for point-wise indexing by label shoyer 1217238 closed 0     5 2015-08-01T01:52:52Z 2015-08-05T03:51:46Z 2015-08-05T03:51:44Z MEMBER   0 pydata/xarray/pulls/507

xref #475

Example usage:

``` In [1]: da = xray.DataArray(np.arange(56).reshape((7, 8)), ...: coords={'x': list('abcdefg'), ...: 'y': 10 * np.arange(8)}, ...: dims=['x', 'y']) ...:

In [2]: da Out[2]: <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: * y (y) int64 0 10 20 30 40 50 60 70 * x (x) |S1 'a' 'b' 'c' 'd' 'e' 'f' 'g'

we can index by position along each dimension

In [3]: da.isel_points(x=[0, 1, 6], y=[0, 1, 0], dim='points') Out[3]: <xray.DataArray (points: 3)> array([ 0, 9, 48]) Coordinates: y (points) int64 0 10 0 x (points) |S1 'a' 'b' 'g' * points (points) int64 0 1 2

or equivalently by label

In [4]: da.sel_points(x=['a', 'b', 'g'], y=[0, 10, 0], dim='points') Out[4]: <xray.DataArray (points: 3)> array([ 0, 9, 48]) Coordinates: y (points) int64 0 10 0 x (points) |S1 'a' 'b' 'g' * points (points) int64 0 1 2 Bug fixes ```

cc @jhamman

 
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     xarray 13221727 pull

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