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  • Illviljan 1
  • mgunyho 1
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issue 1

  • Add errors option to curvefit · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1577364529 https://github.com/pydata/xarray/pull/7891#issuecomment-1577364529 https://api.github.com/repos/pydata/xarray/issues/7891 IC_kwDOAMm_X85eBKwx headtr1ck 43316012 2023-06-05T19:35:33Z 2023-06-05T19:35:33Z COLLABORATOR

You could use DataArray.round to round to significant decimals.

Better to use a tolerance in the assterion testing.

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  Add errors option to curvefit 1740268634
1575756825 https://github.com/pydata/xarray/pull/7891#issuecomment-1575756825 https://api.github.com/repos/pydata/xarray/issues/7891 IC_kwDOAMm_X85d7CQZ Illviljan 14371165 2023-06-04T22:29:18Z 2023-06-04T22:29:18Z MEMBER

You could use DataArray.round to round to significant decimals.

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  Add errors option to curvefit 1740268634
1575677244 https://github.com/pydata/xarray/pull/7891#issuecomment-1575677244 https://api.github.com/repos/pydata/xarray/issues/7891 IC_kwDOAMm_X85d6u08 mgunyho 20118130 2023-06-04T19:08:20Z 2023-06-04T19:11:44Z CONTRIBUTOR

Oh no, the doctest failure is because the test is flaky, this was introduced by me in #7821, see here: https://github.com/pydata/xarray/pull/7821#issuecomment-1537142237 and here: https://github.com/pydata/xarray/pull/7821/commits/a0e6659ca01188378f29a35b418d6f9e2b889d2e. I'll submit another patch to fix it soon, although I'm not sure how. If you have any tips to avoid this problem, let me know.

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  Add errors option to curvefit 1740268634

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