Comments (2)
But what would you expect to be changed here? Essentially all "data frame" concept implementations allow selecting columns both by their number and their name.
from dataframes.jl.
Yeah it's not an easy problem. AxisKeys.jl's strategy is indexing by number with A[1,2]
and by name with A(:foo, :bar)
.
from dataframes.jl.
Related Issues (20)
- CartesianIndex error in Julia 1.11 HOT 4
- `DataFrame(x=Int[], y=Int)` HOT 3
- Add comparison function for dataframes which can handle both isapprox and isequal column types HOT 2
- unique fails with column-type FixedDecimal HOT 5
- mapcols! should modify the parent of a SubDataFrame HOT 11
- Feature request: Pairs in stack HOT 2
- Grouped DataFrame with array elements fails to combine HOT 4
- error when combining a grouped empty dataframe using `first` HOT 6
- Short circuit && on subset? HOT 1
- Suggestion - Matrix Syntax for hcat (as well as vcat) HOT 4
- Document custom generation of column names in manual HOT 9
- `join` should not introduce `Missing` types to schema HOT 1
- Consider removing Tables.allocatecolumn in vcat
- DataFrame(t::Table) converts PooledVector columns HOT 2
- Sampling GroupedDataFrames (rand) HOT 5
- Julia 1.12.0-DEV: testing DataFrames throws a 'method dispatch ambiguities' error HOT 2
- Add options to `join` missing error? HOT 1
- Column types seem to change after inner-join between two DataFrames HOT 1
- using propertynames on GroupedDataFrame HOT 6
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from dataframes.jl.