Comments (2)
I can't reproduce this. What versions of DataFrames and DataFramesMeta are you using?
julia> using DataFrames
julia> using DataFramesMeta
julia> df = DataFrame(A = 1:3, B = [2, 1, 2])
3×2 DataFrames.DataFrame
│ Row │ A │ B │
├─────┼───┼───┤
│ 1 │ 1 │ 2 │
│ 2 │ 2 │ 1 │
│ 3 │ 3 │ 2 │
julia> @transform(df, a = 2 * :A, x = :A + :B)
3×4 DataFrames.DataFrame
│ Row │ A │ B │ a │ x │
├─────┼───┼───┼───┼───┤
│ 1 │ 1 │ 2 │ 2 │ 3 │
│ 2 │ 2 │ 1 │ 4 │ 3 │
│ 3 │ 3 │ 2 │ 6 │ 5 │
julia> Pkg.status.(["DataFramesMeta", "DataFrames"]);
- DataFramesMeta 0.2.0
- DataFrames 0.10.1
julia> versioninfo()
Julia Version 0.6.0
Commit 903644385b (2017-06-19 13:05 UTC)
Platform Info:
OS: macOS (x86_64-apple-darwin13.4.0)
CPU: Intel(R) Core(TM) i7-4870HQ CPU @ 2.50GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)
from dataframesmeta.jl.
yikes, my bad. had the package pinned to a previous version. all works. Why does Pkg.update
not alert one to this fact? sorry.
from dataframesmeta.jl.
Related Issues (20)
- operators do not work inside function call inside macros HOT 3
- typos HOT 3
- Macro @rolling for scrolling through a column or columns of values? HOT 3
- Add a `@bycol` macro-flag HOT 5
- Add metadata for working with DataFrames HOT 1
- Access subdf in @by and @combine HOT 7
- Request - grouped by columns available as single values rather than vectors HOT 5
- Request: `@order` to mimic `DataFrames.order` in `@orderby` HOT 2
- Very slow `@astable` macro outside a function HOT 4
- `@with` macro clashes with `Base.@with` in Julia 1.11+ HOT 8
- `ByRow` not defined when importing DataFramesMeta HOT 1
- docs question HOT 7
- Request @rsubset_rtransform HOT 7
- Special-case `==` as with other one-argument functions HOT 2
- Add an alternative syntax escaping than `$` HOT 1
- MethodError occurred when broadcasting a string inside @astable HOT 3
- Speculative future of `@groupby` macro
- Allow reference to previously defined columns in @transform HOT 7
- `groupby` derived columns
- Add convenience function to look up a single value in a `DataFrame` HOT 2
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from dataframesmeta.jl.