JuliaData / JuliaData/DataFramesMeta.jl
@replace for in-place conditional updating
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Description
From Slack, I was looking for a good way to replicate something like
inds = (alldata.year .<= 1993) .& (alldata.ishead .== true)
alldata.labor_inc_spouse[inds] .= alldata.labor_inc_pre_spouse[inds]
in one line. In Stata this would be replace labor_inc_spouse = labor_inc_pre_spouse if year <= 1993 & ishead == true
@bkamins suggested
alldata.labor_inc_spouse .= ifelse.((alldata.year .<= 1993) .& (alldata.ishead .== true), alldata.labor_inc_pre_spouse, alldata.labor_inc_spouse)
which operates in place and is efficient.
It could be nice to have a macro version of that like
@replace(df, :labor_inc_spouse = :labor_inc_pre_spouse if :year .<= 1993 & :ishead .== true)
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Research direction
The issue does not name any files, tests, or entry points. Start by reviewing existing DataFramesMeta macro APIs and the proposed @replace syntax, then determine the intended semantics for conditional in-place updates. Done should mean the macro supports the shown assignment and condition while preserving values outside the condition.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100