issue_comments: 1169014257
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/6733#issuecomment-1169014257 | https://api.github.com/repos/pydata/xarray/issues/6733 | 1169014257 | IC_kwDOAMm_X85Frb3x | 2448579 | 2022-06-28T17:23:12Z | 2022-06-28T17:26:17Z | MEMBER | Yeah I think the issue is that the "CFMaskCoder" tries to repalce NaNs regardless of the dtype of the variable. Doing this creates a copy in this step: You should set We should probably raise an error or at least a warning for integer dtypes and not-None As for your initial question, we create a copy of the float array when replacing NaNs (does not happen in-place), then convert to int. So you'll need to account for 2x float array + 1x int array memory use. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
1286995366 |