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  • shoyer · 3 ✖

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  • How to efficiently use DataArrays with Cartopy's add_cyclic_point utility? · 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
447043519 https://github.com/pydata/xarray/issues/1005#issuecomment-447043519 https://api.github.com/repos/pydata/xarray/issues/1005 MDEyOklzc3VlQ29tbWVudDQ0NzA0MzUxOQ== shoyer 1217238 2018-12-13T16:59:55Z 2018-12-13T16:59:55Z MEMBER

Something like this might work for you: ```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) ```

Example usage: ```

ds = xarray.Dataset({'foo': ('x', np.arange(10))}, {'x': np.arange(10)}) add_cyclic_point(ds, dim='x', period=10) <xarray.Dataset> Dimensions: (x: 11) Coordinates: * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 Data variables: foo (x) int64 0 1 2 3 4 5 6 7 8 9 0 ```

It would also make sense to add a more generic .pad() method, which this function would be a special case of (if mode='wrap').

 
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   How to efficiently use DataArrays with Cartopy's add_cyclic_point utility? 177484162
248151652 https://github.com/pydata/xarray/issues/1005#issuecomment-248151652 https://api.github.com/repos/pydata/xarray/issues/1005 MDEyOklzc3VlQ29tbWVudDI0ODE1MTY1Mg== shoyer 1217238 2016-09-19T22:49:38Z 2016-09-19T22:49:38Z MEMBER

Note that xarray.apply doesn't solve this yet, but hopefully it will soon. I'll update this issue when it does.

 
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   How to efficiently use DataArrays with Cartopy's add_cyclic_point utility? 177484162
248045734 https://github.com/pydata/xarray/issues/1005#issuecomment-248045734 https://api.github.com/repos/pydata/xarray/issues/1005 MDEyOklzc3VlQ29tbWVudDI0ODA0NTczNA== shoyer 1217238 2016-09-19T16:35:42Z 2016-09-19T16:35:42Z MEMBER

Do I need to create a new Xarray DataArray from the output of add_cyclic_point?

Yes, that would be my suggested approach.

This would be a good use case for xarray.apply (#964).

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

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