issue_comments: 499699528

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https://github.com/pydata/xarray/issues/2419#issuecomment-499699528 https://api.github.com/repos/pydata/xarray/issues/2419 499699528 MDEyOklzc3VlQ29tbWVudDQ5OTY5OTUyOA== 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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