remove RepeatedVector, StackedVector, unstackdt, meltdt

JuliaData · Mar 14, 2017 · 06dc914 · 06dc914 · nalimilan · Mar 15, 2017
1 parent cc95658
commit 06dc914
Show file tree

Hide file tree

Showing 10 changed files with 40 additions and 366 deletions.
diff --git a/docs/src/lib/manipulation.md b/docs/src/lib/manipulation.md
@@ -20,6 +20,4 @@ join
 melt
 stack
 unstack
-stackdt
-meltdt
 ```
diff --git a/docs/src/man/reshaping_and_pivoting.md b/docs/src/man/reshaping_and_pivoting.md
@@ -53,29 +53,6 @@ If the remaining columns are unique, you can skip the id variable and use:
 widedt = unstack(longdt, :variable, :value)
 ```
 
-`stackdt` and `meltdt` are two additional functions that work like `stack` and `melt`, but they provide a view into the original wide DataTable. Here is an example:
-
-```julia
-d = stackdt(iris)
-```
-
-This saves memory. To create the view, several AbstractVectors are defined:
-
-`:variable` column -- `EachRepeatedVector`  
-This repeats the variables N times where N is the number of rows of the original AbstractDataTable.
-
-`:value` column -- `StackedVector`  
-This is provides a view of the original columns stacked together.
-
-Id columns -- `RepeatedVector`  
-This repeats the original columns N times where N is the number of columns stacked.
-
-For more details on the storage representation, see:
-
-```julia
-dump(stackdt(iris))
-```
-
 None of these reshaping functions perform any aggregation. To do aggregation, use the split-apply-combine functions in combination with reshaping. Here is an example:
 
 ```julia

diff --git a/src/DataTables.jl b/src/DataTables.jl
@@ -57,7 +57,6 @@ export @~,
        eltypes,
        groupby,
        melt,
-       meltdt,
        names!,
        ncol,
        nonunique,
@@ -71,7 +70,6 @@ export @~,
        rename,
        showcols,
        stack,
-       stackdt,
        unique!,
        unstack,
        head,

diff --git a/src/abstractdatatable/abstractdatatable.jl b/src/abstractdatatable/abstractdatatable.jl
@@ -777,7 +777,6 @@ end
 
 Convert columns with a `Nullable` element type without any null values
 to a non-`Nullable` equivalent array type. The table `dt` is modified in place.
-`NullableVectors` are aliased to their `values` field.
 
 # Examples
 
@@ -852,7 +851,7 @@ julia> eltypes(dt)
 
 See also [`denullify!`] & [`nullify`](@ref).
 """
-denullify(dt::AbstractDataTable) = denullify!(copy(dt))
+denullify(dt::AbstractDataTable) = denullify!(deepcopy(dt))
 
 """
     nullify!(dt::AbstractDataTable)
@@ -933,7 +932,7 @@ julia> eltypes(dt)
 See also [`nullify!`](@ref) & [`denullify`](@ref).
 """
 function nullify(dt::AbstractDataTable)
-    nullify!(copy(dt))
+    nullify!(deepcopy(dt))
 end
 
 ## Documentation for methods defined elsewhere