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  • lvankampenhout · 2 ✖

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  • How to efficiently use DataArrays with Cartopy's add_cyclic_point utility? · 2 ✖

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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
470546895 https://github.com/pydata/xarray/issues/1005#issuecomment-470546895 https://api.github.com/repos/pydata/xarray/issues/1005 MDEyOklzc3VlQ29tbWVudDQ3MDU0Njg5NQ== lvankampenhout 7933853 2019-03-07T14:29:53Z 2019-03-07T14:29:53Z NONE

Stephan, thanks a lot for your code snippet from December, this is an elegant solution to the problem. One minor correction though, because I found that it fails to infer the period if none is given. The divide should be a multiplication I believe, i.e.

```python import xarray import numpy as np

def add_cyclic_point(xarray_obj, dim, period=None): if period is None: period = xarray_obj.sizes[dim] * xarray_obj.coords[dim][:2].diff(dim).item() first_point = xarray_obj.isel({dim: slice(1)}) first_point.coords[dim] = first_point.coords[dim]+period return xarray.concat([xarray_obj, first_point], dim=dim) ```

 
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   How to efficiently use DataArrays with Cartopy's add_cyclic_point utility? 177484162
447034484 https://github.com/pydata/xarray/issues/1005#issuecomment-447034484 https://api.github.com/repos/pydata/xarray/issues/1005 MDEyOklzc3VlQ29tbWVudDQ0NzAzNDQ4NA== lvankampenhout 7933853 2018-12-13T16:34:13Z 2018-12-13T16:34:29Z NONE

Any update on this issue? It would be great if add_cyclic_point could be applied to all variables automatically.

Just for other peoples reference, I now have this workaround, creating erai_jja_cy a 'cyclic' version of erai_jja: python dd, ll = add_cyclic_point(erai_jja.values, erai_jja.lon) erai_jja_cy = xr.DataArray(dd, coords={'lat':erai_jja.lat, 'lon':ll}, dims=('lat','lon'))

 
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   How to efficiently use DataArrays with Cartopy's add_cyclic_point utility? 177484162

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