| FazBrowse GitHub Viewer | Trending | | Home |
| Tools: [Download Repo ZIP] [Original HTTPS Page] |
When a pipeline has a scalar (non-mapped) output that implements __getitem__, to_dataframe() fails because numpy iterates over the object when creating an array, producing unexpected shapes. See: #924
Create a 0-D object array by first allocating an empty array and then assigning the value. This prevents numpy from iterating over objects that implement __getitem__, which would produce unexpected array shapes. Fixes: #924
✅ PR Title Formatted CorrectlyThe title of this PR has been updated to match the correct format. Thank you! |
Sorry, something went wrong.
Codecov Report✅ All modified and coverable lines are covered by tests.
|
Sorry, something went wrong.
CodSpeed Performance ReportMerging #925 will not alter performanceComparing fix/scalar-getitem-to-dataframe (d2a728d) with main (76991bc) Summary✅ 6 untouched |
Sorry, something went wrong.
| Back | FazBrowse Home | New Git URL |
Summary
Test plan
Fixes #924