issue_comments: 407087615
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/2304#issuecomment-407087615 | https://api.github.com/repos/pydata/xarray/issues/2304 | 407087615 | MDEyOklzc3VlQ29tbWVudDQwNzA4NzYxNQ== | 1217238 | 2018-07-23T14:57:20Z | 2018-07-23T14:57:20Z | MEMBER | To clarify: why is it a problem for you to get floating point values like 21.939998626708984 instead of 21.940000000000001? Is it a loss of precision in some downstream calculation? Both numbers are accurate well within the precision indicated by the netCDF file (0.01). Note that it's very easy to later convert from float32 to float64, e.g., by writing |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
343659822 |