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Fix math and update templates to match generated files.
JakeRadMSFT
commented
May 7, 2023
| Assert.Equal(100.0, df.Columns["Double"].Max()); | ||
| Assert.Equal(-10.0f, df.Columns["Float"].Min()); | ||
| Assert.Equal((uint)0, df.Columns["Uint"].Product()); | ||
| Assert.Equal((ushort)140, df.Columns["Ushort"].Sum()); |
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{Ushort: 0 1 3 6 10 null 16 23 31 40 }
0+1+3+6+10+16+23+31+40 = 130
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@JakeRadMSFT is this how Pandas handles math with null data? We should match whatever they do.
Same issue?
Test and Fix Median and Mean
Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## main #6661 +/- ##
==========================================
+ Coverage 68.59% 68.66% +0.06%
==========================================
Files 1200 1201 +1
Lines 250326 250799 +473
Branches 26096 26192 +96
==========================================
+ Hits 171701 172199 +498
+ Misses 71809 71783 -26
- Partials 6816 6817 +1
Flags with carried forward coverage won't be shown. Click here to find out more.
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Update Cumulative handling of nulls based on DataFrame documentation
michaelgsharp
approved these changes
May 8, 2023
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Update Math logic to filter out
nullinstead of treating it asdefault.Related Issue:
#6659