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  • Document ways to reshape a DataArray · 5 ✖
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499721397 https://github.com/pydata/xarray/issues/2419#issuecomment-499721397 https://api.github.com/repos/pydata/xarray/issues/2419 MDEyOklzc3VlQ29tbWVudDQ5OTcyMTM5Nw== rabernat 1197350 2019-06-07T00:52:10Z 2019-06-07T00:52:10Z MEMBER

This was to facilitate looking at the max and min as a function of "month", take the difference, and then average over "year"

What about python gb = ds.groupby('time.year') gb.max(dim='time') - gb.min(dim='time')

 
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   Document ways to reshape a DataArray 361237908
499716635 https://github.com/pydata/xarray/issues/2419#issuecomment-499716635 https://api.github.com/repos/pydata/xarray/issues/2419 MDEyOklzc3VlQ29tbWVudDQ5OTcxNjYzNQ== shoyer 1217238 2019-06-07T00:26:10Z 2019-06-07T00:26:10Z MEMBER

This can be done with a MultiIndex and unstack(), but yes right now it's definitely an awkward API.

 
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   Document ways to reshape a DataArray 361237908
499699528 https://github.com/pydata/xarray/issues/2419#issuecomment-499699528 https://api.github.com/repos/pydata/xarray/issues/2419 MDEyOklzc3VlQ29tbWVudDQ5OTY5OTUyOA== dopplershift 221526 2019-06-06T23:04:11Z 2019-06-06T23:04:11Z CONTRIBUTOR

So I ran into this working with a climate scientist the other day. The use case we had was given some model output that had data like: <xarray.DataArray 'NBP' (time: 1932, lat: 192, lon: 288)> [106831872 values with dtype=float32] Coordinates: * lat (lat) float32 -90.0 -89.057594 -88.11518 ... 89.057594 90.0 * lon (lon) float32 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.25 357.5 358.75 * time (time) object 1850-02-01 00:00:00 ... 2011-01-01 00:00:00 we wanted to reshape to turn time into two dimensions ("year", "month"). This was to facilitate looking at the max and min as a function of "month", take the difference, and then average over "year". Is there a way to do this already that I'm not aware of?

 
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   Document ways to reshape a DataArray 361237908
422473257 https://github.com/pydata/xarray/issues/2419#issuecomment-422473257 https://api.github.com/repos/pydata/xarray/issues/2419 MDEyOklzc3VlQ29tbWVudDQyMjQ3MzI1Nw== shoyer 1217238 2018-09-18T17:08:49Z 2018-09-18T17:08:49Z MEMBER

Can you give an more specific example use-case, e.g., before/after?

 
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   Document ways to reshape a DataArray 361237908
422357134 https://github.com/pydata/xarray/issues/2419#issuecomment-422357134 https://api.github.com/repos/pydata/xarray/issues/2419 MDEyOklzc3VlQ29tbWVudDQyMjM1NzEzNA== fujiisoup 6815844 2018-09-18T11:29:31Z 2018-09-18T11:29:31Z MEMBER

Thanks for raising an issue, @dimitryx2017. I like this idea.

We usually have methods rather than function. Any idea about the API?

We usually use a keyword argument. I'm thinking something like Ar.reshape(time=(('year', (2017, 2018)), ('month', np.arange(12))), but it looks a little long...

 
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   Document ways to reshape a DataArray 361237908

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