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  • .to_zarr with datetime64[ns] · 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
402327882 https://github.com/pydata/xarray/issues/2265#issuecomment-402327882 https://api.github.com/repos/pydata/xarray/issues/2265 MDEyOklzc3VlQ29tbWVudDQwMjMyNzg4Mg== NickMortimer 4338975 2018-07-04T00:25:33Z 2018-07-04T00:25:33Z NONE

@jhamman thanks I'll add to the discussion there and close this issue.

 
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   .to_zarr with datetime64[ns] 337733183
402155326 https://github.com/pydata/xarray/issues/2265#issuecomment-402155326 https://api.github.com/repos/pydata/xarray/issues/2265 MDEyOklzc3VlQ29tbWVudDQwMjE1NTMyNg== NickMortimer 4338975 2018-07-03T13:22:24Z 2018-07-03T13:24:04Z NONE

@spencerkclark yes that helps very much and a great example of how to answer a question! I'm learning so much from this group. Is there a way of appending an xarray dataset onto an existing zarr array? That's why I've been accessing direct through zarr, what I'm trying to do is build a zarr file of all the Argo float profiles and add new ones as they arrive.

 
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   .to_zarr with datetime64[ns] 337733183

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