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  • dcherian · 1 ✖

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  • Avoid loading entire dataset by getting the nbytes in an array · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1474176353 https://github.com/pydata/xarray/pull/7356#issuecomment-1474176353 https://api.github.com/repos/pydata/xarray/issues/7356 IC_kwDOAMm_X85X3iVh dcherian 2448579 2023-03-17T17:30:51Z 2023-03-17T17:31:22Z MEMBER

Because we have lazy data reading functionality ```python import xarray as xr ds = xr.tutorial.open_dataset("air_temperature") var = ds.air.variable

print(type(var._data)) # memory cached array print(type(var._data.array.array)) # ah that's wrapping a lazy array, no data read in yet print(var._data.size) # can access size print(type(var._data.array.array)) # still a lazy array

.data forces a disk load

print(type(var.data)) # oops disk-load print(type(var._data)) # "still memory cached array" print(type(var._data.array.array)) # but that's wrapping numpy data in memory ```

<class 'xarray.core.indexing.MemoryCachedArray'> <class 'xarray.core.indexing.LazilyIndexedArray'> 3869000 <class 'xarray.core.indexing.LazilyIndexedArray'> <class 'numpy.ndarray'> <class 'xarray.core.indexing.MemoryCachedArray'> <class 'numpy.ndarray'>

 
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   Avoid loading entire dataset by getting the nbytes in an array 1475567394

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