Comments (6)
To avoid the conflicts, just pull in the parts of Lazy you want:
using DataFramesMeta, DataFrames
import Lazy: @>, @as
At the package level, an option to consider is pulling in a version of @>
into DataFramesMeta.
from dataframesmeta.jl.
I was thinking of the users who are used to scripting and give up one they have to think of module scoping. import Lazy: @>, @as
is definitely easy.
Renaming @with
seems like overkill.
Maybe we should just add to the docs
in the @>
example just importing @>
from Lazy.
from dataframesmeta.jl.
+1 to that.
from dataframesmeta.jl.
It could make sense to have DataFramesMeta reexport @>
from Lazy.
from dataframesmeta.jl.
This just means adding @reexport using Lazy: @>
to the top of the file right? Maybe export @as
, too?
from dataframesmeta.jl.
Now that @linq
has been revamped so you don't need the @
. How much work would it be to have the following? It's hard for me to tell, but it might not be trivial since @linq
inspects the expressions for |>
manually.
df2 = @linq df begin
transform(a = :b)
end
from dataframesmeta.jl.
Related Issues (20)
- More examples in docstrings HOT 15
- subset not defined HOT 12
- suggestion - @chainWithRTransform
- Error `.*` not defined with `@by` HOT 12
- The latest version is not installed HOT 3
- `Symbol` Causes Trouble in `@transform!` HOT 1
- Subset with regex HOT 2
- Bug in the example of DataFramesMeta doc. HOT 1
- Problem with eachrow and eachrow! + break/continue
- Problems in @orderby HOT 2
- Keyword Argument Not Working for `@rsubset` HOT 6
- Work with symbols and integers on the RHS HOT 1
- Special case request for Not() HOT 3
- Github releases not in sync with registered versions HOT 8
- 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
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from dataframesmeta.jl.