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JuliaData / CategoricalArrays.jl / 209
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DEFAULT BRANCH: master
Ran 27 Jan 2017 09:11AM UTC
Jobs 1
Files 10
Run time 0s
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Add cut function (#46)

Freely inspired by the DataArrays implementation. Differences:
- include lower bound instead of upper bound (consistent with R's
Hmisc::cut2 and Numpy's digitize, and more useful for positive variables)
- raise an error by default if some values are out of bounds, which avoids
computing extremas when not needed
- support transforming out of bounds values into nulls
- accept custom labels

Unfortunately, `cut(x, ngroups::Integer)` doesn't work for NullableArray
since they do not support quantile() yet.

69 of 69 new or added lines in 1 file covered. (100.0%)

440 of 505 relevant lines covered (87.13%)

22764.68 hits per line

New Missed Lines in Diff

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Uncovered Existing Lines

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src/array.jl
Jobs
ID Job ID Ran Files Coverage
1 209.1 27 Jan 2017 09:11AM UTC 0
87.13
Travis Job 209.1
Source Files on build 209
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