issue_comments: 447043519

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https://github.com/pydata/xarray/issues/1005#issuecomment-447043519 https://api.github.com/repos/pydata/xarray/issues/1005 447043519 MDEyOklzc3VlQ29tbWVudDQ0NzA0MzUxOQ== 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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