html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/7356#issuecomment-1474176353,https://api.github.com/repos/pydata/xarray/issues/7356,1474176353,IC_kwDOAMm_X85X3iVh,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'>
```","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1475567394