Import groupby from DataAPI, remove by and aggregate (#3422)

NEWS.md

@@ -31,6 +31,11 @@
 * Correctly handle non-standard integers when converting them to `BigInt`
   ([#3419](https://github.com/JuliaData/DataFrames.jl/issues/3419))
 
+## Removed deprecations
+
+* The `by` and `aggregate` functions that were deprecated before 1.0
+  release are now removed.
+  ([#3422](https://github.com/JuliaData/DataFrames.jl/issues/3422))
 
 # DataFrames.jl v1.6.1 Release Notes
 

Project.toml

@@ -31,7 +31,7 @@ Unicode = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
 CategoricalArrays = "0.10.0"
 Combinatorics = "1.0.2"
 Compat = "4.2"
-DataAPI = "1.15.0"
+DataAPI = "1.16.0"
 DataStructures = "0.18"
 DataValues = "0.4.13"
 InlineStrings = "1.3.0"

src/DataFrames.jl

@@ -20,6 +20,7 @@ import DataAPI,
        DataAPI.Between,
        DataAPI.Cols,
        DataAPI.describe,
+       DataAPI.groupby,
        DataAPI.innerjoin,
        DataAPI.outerjoin,
        DataAPI.rightjoin,

src/deprecated.jl

@@ -1,11 +1,3 @@
-export by, aggregate
-
-# TODO: remove definitions in 2.0 release
-by(args...; kwargs...) = throw(ArgumentError("by function was removed from DataFrames.jl. " *
-                                             "Use the `combine(groupby(...), ...)` or `combine(f, groupby(...))` instead."))
-aggregate(args...; kwargs...) = throw(ArgumentError("aggregate function was removed from DataFrames.jl. " *
-                                                    "Use the `combine` function instead."))
-
 # TODO: remove deprecation in 2.0 release
 import Base.delete!
 @deprecate delete!(df::DataFrame, inds) deleteat!(df::DataFrame, inds)

test/deprecated.jl

@@ -4,11 +4,6 @@ using Test, DataFrames, CategoricalArrays
 
 const ≅ = isequal
 
-@testset "by and aggregate" begin
-    @test_throws ArgumentError by()
-    @test_throws ArgumentError aggregate()
-end
-
 @testset "indicator in joins" begin
     name = DataFrame(ID=[1, 2, 3], Name=["John Doe", "Jane Doe", "Joe Blogs"])
     job = DataFrame(ID=[1, 2, 4], Job=["Lawyer", "Doctor", "Farmer"])