issue_comments: 392110253
This data as json
| 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/issues/2186#issuecomment-392110253 | https://api.github.com/repos/pydata/xarray/issues/2186 | 392110253 | MDEyOklzc3VlQ29tbWVudDM5MjExMDI1Mw== | 12929327 | 2018-05-25T16:23:55Z | 2018-05-25T16:24:33Z | NONE | Yes, I understand the garbage collection. The problem I'm struggling with here is that normally when working with arrays, maintaining only one reference to an array and replacing the data that reference points to within a loop does not result in memory accumulation because GC is triggered on the prior, now dereferenced array from the previous iteration. Here, it seems that under the hood, references to arrays have been created other than my "data" variable that are not being dereferenced when I reassign to "data," so stuff is accumulating in memory. |
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