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  • cwerner · 3 ✖

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  • Provide a "shrink" command to remove bounding nan/ whitespace of DataArray · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
654015589 https://github.com/pydata/xarray/issues/4197#issuecomment-654015589 https://api.github.com/repos/pydata/xarray/issues/4197 MDEyOklzc3VlQ29tbWVudDY1NDAxNTU4OQ== cwerner 13906519 2020-07-06T05:02:48Z 2020-07-07T13:24:29Z NONE

Ok, so for now I roll with this:

```python def shrink_dataarray(da, dims=None): """remove nodata borders from spatial dims of dataarray""" dims = set(dims) if dims else set(da.dims)

if len(dims) != 2:
    raise IndexError

# non-spatial dims (carry over, only shrink spatial dims)
nsd = set(da.dims) - dims
nsd_indexers = {d: range(len(da[d])) for d in nsd}

indexers = {d: (da.count(dim=dims - set([d])|nsd).cumsum() != 0) * 
               (da.count(dim=dims - set([d])|nsd)[::-1].cumsum()[::-1] != 0)
            for d in dims}

indexers.update(nsd_indexers)

return da.isel(**indexers)

```

Is it possible to identify non-spatial dims with plain xarray dataarrays (non cf-xarray)? And is there maybe a way to detect unlimited dims (usually the time dim)?

 
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   Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352
653753668 https://github.com/pydata/xarray/issues/4197#issuecomment-653753668 https://api.github.com/repos/pydata/xarray/issues/4197 MDEyOklzc3VlQ29tbWVudDY1Mzc1MzY2OA== cwerner 13906519 2020-07-04T11:22:42Z 2020-07-04T11:22:42Z NONE

@fujiisoup Thanks, that’s great and much cleaner than my previous numpy code. I’ll run with that and maybe try to pack that in a general function. Not sure is this a common enough problem to have in xarray itself?

 
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   Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352
653748350 https://github.com/pydata/xarray/issues/4197#issuecomment-653748350 https://api.github.com/repos/pydata/xarray/issues/4197 MDEyOklzc3VlQ29tbWVudDY1Mzc0ODM1MA== cwerner 13906519 2020-07-04T10:20:56Z 2020-07-04T10:37:29Z NONE

@keewis @fujiisoup @shoyer thanks. this does indeed not work for my used case if there's a all-nan stretch between parts of the array (think UK and the channel and the northern coast of France) - I simply want to get rid of extra space around a geographic domain (i.e. the nan edges)

``` data = np.array([ [np.nan, np.nan, np.nan, np.nan], [np.nan, 0, 2, np.nan], [np.nan, np.nan, np.nan, np.nan], [np.nan, 2, 0, np.nan], [np.nan, np.nan, np.nan, np.nan], ]) da = xr.DataArray(data, dims=("x", "y"))

this also results in a 2x2 array, but should be 3x2

```

 
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   Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352

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