Add examples for issorted docstrings.

NEWS.md

@@ -112,6 +112,10 @@
 
 * `delete!` is deprecated in favor of `deleteat!`
   ([#2854](https://github.com/JuliaData/DataFrames.jl/issues/2854))
+* In `sort`, `sort!`, `issorted` and `soerperm` it is now documented
+  that the result of passing an empty column selector uses lexicographic
+  ordering of all columns, but this behavior is deprecated.
+  ([#2941](https://github.com/JuliaData/DataFrames.jl/issues/2941))
 
 ## Planned changes
 

src/abstractdataframe/sort.jl

@@ -332,19 +332,49 @@ Sort.defalg(df::AbstractDataFrame, o::Ordering; alg=nothing, cols=[]) =
 ########################
 
 """
-    issorted(df::AbstractDataFrame, cols;
+    issorted(df::AbstractDataFrame, cols=All();
              lt=isless, by=identity, rev::Bool=false, order::Ordering=Forward)
 
 Test whether data frame `df` sorted by column(s) `cols`.
+Checking against multiple columns is done lexicographically.
+
+If `cols` selects no columns, check whether `df` is sorted on all columns
+(this behaviour is deprecated and will change in future versions).
 
 `cols` can be any column selector ($COLUMNINDEX_STR; $MULTICOLUMNINDEX_STR).
 
 If `rev` is `true`, reverse sorting is performed. To enable reverse sorting
 only for some columns, pass `order(c, rev=true)` in `cols`, with `c` the
 corresponding column index (see example below).
+
 See other methods for a description of other keyword arguments.
+
+# Examples
+```jldoctest
+julia> df = DataFrame(a = [1,2,3,4], b = [4,3,2,1])
+4×2 DataFrame
+ Row │ a      b     
+     │ Int64  Int64 
+─────┼──────────────
+   1 │     1      4
+   2 │     2      3
+   3 │     3      2
+   4 │     4      1
+
+julia> issorted(df)
+true
+
+julia> issorted(df, :a)
+true
+
+julia> issorted(df, :b)
+false
+
+julia> issorted(df, :b, rev=true)
+true
+```
 """
-function Base.issorted(df::AbstractDataFrame, cols=[];
+function Base.issorted(df::AbstractDataFrame, cols=All();
                        lt=isless, by=identity, rev=false, order=Forward)
     # exclude AbstractVector as in that case cols can contain order(...) clauses
     if cols isa MultiColumnIndex && !(cols isa AbstractVector)
@@ -360,14 +390,16 @@ function Base.issorted(df::AbstractDataFrame, cols=[];
 end
 
 """
-    sort(df::AbstractDataFrame, cols;
+    sort(df::AbstractDataFrame, cols=All();
          alg::Union{Algorithm, Nothing}=nothing, lt=isless, by=identity,
          rev::Bool=false, order::Ordering=Forward, view::Bool=false)
 
 Return a data frame containing the rows in `df` sorted by column(s) `cols`.
 Sorting on multiple columns is done lexicographically.
 
 `cols` can be any column selector ($COLUMNINDEX_STR; $MULTICOLUMNINDEX_STR).
+If `cols` selects no columns, sort `df` on all columns
+(this behaviour is deprecated and will change in future versions).
 
 If `alg` is `nothing` (the default), the most appropriate algorithm is
 chosen automatically among `TimSort`, `MergeSort` and `RadixSort` depending
@@ -435,21 +467,24 @@ julia> sort(df, [:x, order(:y, rev=true)])
    4 │     3  b
 ```
 """
-@inline function Base.sort(df::AbstractDataFrame, cols=[]; alg=nothing, lt=isless,
+@inline function Base.sort(df::AbstractDataFrame, cols=All(); alg=nothing, lt=isless,
                            by=identity, rev=false, order=Forward, view::Bool=false)
     rowidxs = sortperm(df, cols, alg=alg, lt=lt, by=by, rev=rev, order=order)
     return view ? Base.view(df, rowidxs, :) : df[rowidxs, :]
 end
 
 """
-    sortperm(df::AbstractDataFrame, cols;
+    sortperm(df::AbstractDataFrame, cols=All();
              alg::Union{Algorithm, Nothing}=nothing, lt=isless, by=identity,
              rev::Bool=false, order::Ordering=Forward)
 
 Return a permutation vector of row indices of data frame `df` that puts them in
 sorted order according to column(s) `cols`.
+If `cols` were not specified, it returns row indices that sorts `df` lexicographically
+(this behaviour is deprecated and will change in future versions).
 
 `cols` can be any column selector ($COLUMNINDEX_STR; $MULTICOLUMNINDEX_STR).
+If `cols` selects no columns, return permutation vector based on sorting all columns.
 
 If `alg` is `nothing` (the default), the most appropriate algorithm is
 chosen automatically among `TimSort`, `MergeSort` and `RadixSort` depending
@@ -502,7 +537,7 @@ julia> sortperm(df, [:x, order(:y, rev=true)])
  1
 ```
 """
-function Base.sortperm(df::AbstractDataFrame, cols=[];
+function Base.sortperm(df::AbstractDataFrame, cols=All();
                   alg=nothing, lt=isless, by=identity, rev=false, order=Forward)
     if !(by isa Base.Callable || (by isa AbstractVector && eltype(by) <: Base.Callable))
         msg = "'by' must be a Function or a vector of Functions. " *

src/dataframe/sort.jl

@@ -1,13 +1,15 @@
 
 """
-    sort!(df::AbstractDataFrame, cols;
+    sort!(df::AbstractDataFrame, cols=All();
           alg::Union{Algorithm, Nothing}=nothing, lt=isless, by=identity,
           rev::Bool=false, order::Ordering=Forward)
 
 Sort data frame `df` by column(s) `cols`.
 Sorting on multiple columns is done lexicographicallly.
 
 `cols` can be any column selector ($COLUMNINDEX_STR; $MULTICOLUMNINDEX_STR).
+If `cols` selects no columns, sort `df` on all columns
+(this behaviour is deprecated and will change in future versions).
 
 If `alg` is `nothing` (the default), the most appropriate algorithm is
 chosen automatically among `TimSort`, `MergeSort` and `RadixSort` depending
@@ -72,7 +74,7 @@ julia> sort!(df, [:x, order(:y, rev=true)])
    4 │     3  b
 ```
 """
-function Base.sort!(df::DataFrame, cols=[]; alg=nothing,
+function Base.sort!(df::DataFrame, cols=All(); alg=nothing,
                     lt=isless, by=identity, rev=false, order=Forward)
     if !(isa(by, Function) || eltype(by) <: Function)
         msg = "'by' must be a Function or a vector of Functions. " *