issue_comments: 76500617
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| 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/343#issuecomment-76500617 | https://api.github.com/repos/pydata/xarray/issues/343 | 76500617 | MDEyOklzc3VlQ29tbWVudDc2NTAwNjE3 | 7462311 | 2015-02-28T01:02:27Z | 2015-02-28T01:02:27Z | NONE | Points taken. Thanks for responding so quickly. I didn't realize that Pandas does something similar. I understand that the default behavior of NumPy/Python is to pass by reference (assignment) but I didn't realize that this rule applies even when converting an object from one type to another. Now that I have checked, In the API reference for DataArray, it probably wouldn't hurt to say that the input data is not copied by default and that a reference is used instead. I guess making note of this would only benefit less experienced users like myself, but it would be appreciated. |
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