issue_comments: 1262007838

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https://github.com/pydata/xarray/issues/7075#issuecomment-1262007838 https://api.github.com/repos/pydata/xarray/issues/7075 1262007838 IC_kwDOAMm_X85LOLYe 4160723 2022-09-29T09:20:59Z 2022-09-29T09:20:59Z MEMBER

What happens if you create Dataset objects fully in memory instead of loading data from files? Is there a significant slowdown when you increase the size of the Dataset dimensions?

Could you measure the time it takes at a more fined-grained level? I.e., loading files vs. extracting a slice vs. convert to dataframe. This would help better identifying the possible source of slowdown.

 
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