issue_comments: 636418772

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https://github.com/pydata/xarray/issues/4113#issuecomment-636418772 https://api.github.com/repos/pydata/xarray/issues/4113 636418772 MDEyOklzc3VlQ29tbWVudDYzNjQxODc3Mg== 6815844 2020-05-31T04:21:29Z 2020-05-31T04:21:29Z MEMBER

Thank you for raising an issue. I confirmed this problem is reproduced.

Since our Lazyarray does not support the reshaping, it loads the data automatically. This automatic loading happens in many other operations.

For example, if you multiply your array by a scalar, python mda = da *2 It also loads the data into memory. Maybe we should improve the documentation.

FYI, using dask arrays may solve this problem. To open the file with dask, you could add chunks keywords, python da = xr.open_dataarray("da.nc", chunks={'x': 16, 'y': 16}) Then, the reshape will be a lazy operation too.

 
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