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  • map_blocks output inference problems · 6 ✖

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594340481 https://github.com/pydata/xarray/issues/3575#issuecomment-594340481 https://api.github.com/repos/pydata/xarray/issues/3575 MDEyOklzc3VlQ29tbWVudDU5NDM0MDQ4MQ== dcherian 2448579 2020-03-04T05:51:37Z 2020-03-04T05:51:37Z MEMBER

With #3816, this becomes

``` import xarray as xr ds = xr.tutorial.load_dataset('rasm').chunk({'y': 20})

def calculate_anomaly(ds): gb = ds.groupby("time.month") clim = gb.mean(dim='time') return gb - clim

the result looks like ds, so pass that as template

xr.map_blocks(calculate_anomaly, ds, template=ds) ```

@rabernat How does this look to you?

 
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   map_blocks output inference problems 528884925
558779222 https://github.com/pydata/xarray/issues/3575#issuecomment-558779222 https://api.github.com/repos/pydata/xarray/issues/3575 MDEyOklzc3VlQ29tbWVudDU1ODc3OTIyMg== dcherian 2448579 2019-11-26T19:19:25Z 2019-11-26T19:19:25Z MEMBER

+1, for the Dataset case, this would require some sort of dtype/shape schema though.

This is why I didn't do it for the first pass

 
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   map_blocks output inference problems 528884925
558771260 https://github.com/pydata/xarray/issues/3575#issuecomment-558771260 https://api.github.com/repos/pydata/xarray/issues/3575 MDEyOklzc3VlQ29tbWVudDU1ODc3MTI2MA== jhamman 2443309 2019-11-26T18:58:37Z 2019-11-26T18:58:37Z MEMBER

We should allow the user to override the checks by explicitly specifying output dtype and shape

+1, for the Dataset case, this would require some sort of dtype/shape schema though. 

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   map_blocks output inference problems 528884925
558764219 https://github.com/pydata/xarray/issues/3575#issuecomment-558764219 https://api.github.com/repos/pydata/xarray/issues/3575 MDEyOklzc3VlQ29tbWVudDU1ODc2NDIxOQ== rabernat 1197350 2019-11-26T18:40:03Z 2019-11-26T18:40:03Z MEMBER

Right that’s what I did too. But it’s a hack!

Sent from my iPhone

On Nov 26, 2019, at 1:25 PM, Deepak Cherian notifications@github.com wrote:

 p.s. In this case the default assumption, that the output would be the same shape and dtype as the input, would have been fine.

I've been sticking this at the top when necessary:

if sum(ds.shape) == 0: return ds — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

 
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   map_blocks output inference problems 528884925
558758173 https://github.com/pydata/xarray/issues/3575#issuecomment-558758173 https://api.github.com/repos/pydata/xarray/issues/3575 MDEyOklzc3VlQ29tbWVudDU1ODc1ODE3Mw== dcherian 2448579 2019-11-26T18:25:00Z 2019-11-26T18:25:00Z MEMBER

p.s. In this case the default assumption, that the output would be the same shape and dtype as the input, would have been fine.

I've been sticking this at the top when necessary:

python if sum(ds.shape) == 0: return ds

 
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   map_blocks output inference problems 528884925
558747568 https://github.com/pydata/xarray/issues/3575#issuecomment-558747568 https://api.github.com/repos/pydata/xarray/issues/3575 MDEyOklzc3VlQ29tbWVudDU1ODc0NzU2OA== rabernat 1197350 2019-11-26T17:57:09Z 2019-11-26T17:57:09Z MEMBER

p.s. In this case the default assumption, that the output would be the same shape and dtype as the input, would have been fine.

 
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   map_blocks output inference problems 528884925

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