Comments (4)
Perhaps we can leverage the abstract Transform parent type to write a single show method for most transforms. This method could make use of fieldnames, and other Base functions to format and print the fields of the structs. In special cases, we could then write special methods for specific transforms like Sequential and Parallel to use some unicode with arrows.
from tabletransforms.jl.
List of tranforms to inprove I/O:
- Select
- Reject
- Rename
- StdNames
- Sort
- Sample
- Filter
- DropMissing
- Replace
- Coalesce
- Coerce
- Levels
- OneHot
- RowTable
- ColTable
- Identity
- Center
- Scale
- MinMax
- Interquartile
- ZScore
- Quantile
- Functional
- Levels
- Sort
- EigenAnalysis
- PCA
- DRS
- SDS
- Sequential
- Parallel
from tabletransforms.jl.
I think we can close this issue now that the fallback is in place? We can open specific issues if necessary to improve specific transforms?
from tabletransforms.jl.
I agree
from tabletransforms.jl.
Related Issues (20)
- `Select`/`Reject` could accept DataScienceTraits.jl
- Add `Unitify` transform to add units to columns
- Add `Compose` transform for CoDa
- Add `StdFeats` transform to standardize features
- Add `Except` transform as the opposite of the `Only` transform
- Add performance tests with GeoTable HOT 1
- Rename output columns in some statistical transforms
- Refactor assertion infrastructure
- Allow multiple columns in `DropExtrema`
- Add `DropConstant` transform to drop constant columns
- Revert of `DropConstant` assumes same number of rows
- Allow vector of pairs in `Rename` transform
- `Rename` could accept a modification function
- Add `Coerce(SciType)` option
- Clean warnings in test suite
- Allow `Select(Continuous)` besides the other methods HOT 1
- `Unitify()` should work in the presence of non-continuous variables
- Update to latest `Documenter` HOT 1
- Add `Unit` transform to convert units
- Use `Distributed` processes in `ParallelTableTransforms`
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from tabletransforms.jl.