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  • Multiple preprocessing functions in open_mfdataset? · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
240329789 https://github.com/pydata/xarray/issues/970#issuecomment-240329789 https://api.github.com/repos/pydata/xarray/issues/970 MDEyOklzc3VlQ29tbWVudDI0MDMyOTc4OQ== shoyer 1217238 2016-08-17T07:01:02Z 2016-08-17T07:01:02Z MEMBER

In @jhamman's solution, you could also just pass the function directly -- there's no need to use a lambda function in preprocess.

 
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   Multiple preprocessing functions in open_mfdataset? 171504099
240249797 https://github.com/pydata/xarray/issues/970#issuecomment-240249797 https://api.github.com/repos/pydata/xarray/issues/970 MDEyOklzc3VlQ29tbWVudDI0MDI0OTc5Nw== NicWayand 1117224 2016-08-16T21:46:43Z 2016-08-16T21:46:43Z NONE

Yes, that is a perfect solution, thank you!

 
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   Multiple preprocessing functions in open_mfdataset? 171504099
240233948 https://github.com/pydata/xarray/issues/970#issuecomment-240233948 https://api.github.com/repos/pydata/xarray/issues/970 MDEyOklzc3VlQ29tbWVudDI0MDIzMzk0OA== jhamman 2443309 2016-08-16T20:49:29Z 2016-08-16T20:49:29Z MEMBER

@NicWayand -

I would think that you could define your own function:

``` Python def preprocess(x): x.load()

x['time'] += 100

return x

```

Then you could use that in your lambda function:

Python ds = xr.open_mfdataset(files, concat_dim='time', engine='pynio', preprocess=lambda x: preprocess(x))

 
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   Multiple preprocessing functions in open_mfdataset? 171504099

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