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distinct.jl
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module Testdistinct
using Test
using DataFrames
using DataFramesMeta
using Statistics
const ≅ = isequal
@testset "distinct" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
df2 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
@test @distinct(df) ≅ unique(df)
@test @distinct(df, $"A" .+ $"B") ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct(df, :A .+ :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct(df, :A .+ :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct(df, $[:A,:B]) ≅ unique(df, [:A, :B])
@test @distinct(df).A isa Vector{Union{Missing,Int}}
@test @distinct(df, $:A .+ :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct(df, $:A.+$:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct(df, :A.+$:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct(df, $([:A, :B] => (x, y) -> x .+ y)) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
subdf = @view df[df.B.==1, :]
@test @distinct(subdf) ≅ DataFrame(A=[1, missing], B=[1, 1])
tmp = select(df2, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df2[rowidxs, :]
@test @distinct(df2, :x .+ :y, :z .+ 1) ≅ res
end
@testset "rdistinct" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
df2 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
@test @rdistinct(df, $"A" + $"B") ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct(df) ≅ unique(df)
@test @rdistinct(df, :A + :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct(df).A isa Vector{Union{Missing,Int}}
@test @rdistinct(df, $:A + :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct(df, $:A + $:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct(df, :A + $:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct(df, $([:A, :B] => (x, y) -> x .+ y)) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
subdf = @view df[df.B.==1, :]
@test @rdistinct(subdf) ≅ DataFrame(A=[1, missing], B=[1, 1])
tmp = select(df2, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df2[rowidxs, :]
@test @rdistinct(df2, :x + :y, :z + 1) ≅ res
end
@testset "distinct with :block" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
df2 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
d = @distinct df begin
$"A" .+ $"B"
end
@test d ≅ @distinct df :A .+ :B
d = @distinct df begin
:A .+ :B
end
@test d ≅ @distinct df :A .+ :B
d = @distinct df begin
:A
end
@test d ≅ @distinct df :A
subdf = @view df[df.B.==1, :]
d = @distinct subdf begin
:A
end
@test d ≅ DataFrame(A=[1, missing], B=[1, 1])
tmp = select(df2, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df2[rowidxs, :]
d = @distinct df2 begin
:x .+ :y
:z .+ 1
end
@test d ≅ res
end
@testset "rdistinct with :block" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
df2 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
d = @rdistinct df begin
:A + :B
end
@test d ≅ @rdistinct df :A + :B
d = @rdistinct df begin
$"A" + $"B"
end
@test d ≅ @rdistinct df :A + :B
d = @rdistinct df begin
:A
end
@test d ≅ @rdistinct df :A
subdf = @view df[df.B.==1, :]
d = @rdistinct subdf begin
:A
end
@test d ≅ DataFrame(A=[1, missing], B=[1, 1])
tmp = select(df2, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df2[rowidxs, :]
d = @rdistinct df2 begin
:x + :y
:z + 1
end
@test d ≅ res
end
@testset "distinct!" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
df2 = copy(df)
@test @distinct!(df2, :A) === df2
@test @distinct!(copy(df), $"A" .+ $"B") ≅ unique!(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct!(copy(df)) ≅ unique!(df)
@test @distinct!(copy(df), :A .+ :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct!(copy(df)).A isa Vector{Union{Missing,Int}}
@test @distinct!(copy(df), $:A .+ :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct!(copy(df), $:A .+ $:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct!(copy(df), :A .+ $:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct!(df, $[:A,:B]) ≅ unique!(df, [:A, :B])
@test @distinct!(copy(df), $([:A, :B] => (x, y) -> x .+ y)) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @distinct!(copy(df), $([:A, :B] => (x, y) -> x .+ y)) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
subdf = @view df[df.B.==1, :]
@test @distinct(copy(subdf)) ≅ DataFrame(A=[1, missing], B=[1, 1])
df3 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
tmp = select(df3, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df3[rowidxs, :]
@test @distinct!(copy(df3), :x .+ :y, :z .+ 1) ≅ res
end
@testset "rdistinct!" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
df2 = copy(df)
@test @rdistinct!(df2, :A) === df2
@test @rdistinct!(df, $"A" + $"B") ≅ unique!(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct!(copy(df)) ≅ unique!(df)
@test @rdistinct!(copy(df), :A + :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct!(copy(df)).A isa Vector{Union{Missing,Int}}
@test @rdistinct!(copy(df), $:A + :B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct!(copy(df), $:A + $:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct!(copy(df), :A + $:B) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct!(copy(df), $([:A, :B] => (x, y) -> x .+ y)) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
@test @rdistinct!(copy(df), $([:A, :B] => (x, y) -> x .+ y)) ≅ unique(df, [:A, :B] => (x, y) -> x .+ y)
subdf = @view df[df.B.==1, :]
@test @rdistinct(copy(subdf)) ≅ DataFrame(A=[1, missing], B=[1, 1])
df3 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
tmp = select(df3, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df3[rowidxs, :]
@test @rdistinct!(copy(df3), :x + :y, :z + 1) ≅ res
end
@testset "distinct! with :block" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
d = @distinct! copy(df) begin
:A .+ :B
end
@test d ≅ @distinct!(df, :A .+ :B)
d = @distinct! copy(df) begin
$"A" .+ $"B"
end
@test d ≅ @distinct!(df, :A .+ :B)
d = @distinct! copy(df) begin
:A
end
@test d ≅ @distinct!(df, :A)
subdf = @view df[df.B.==1, :]
d = @distinct! copy(subdf) begin
:A
end
@test d ≅ DataFrame(A=[1, missing], B=[1, 1])
df2 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
tmp = select(df2, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df2[rowidxs, :]
d = @distinct! df2 begin
:x .+ :y
:z .+ 1
end
d ≅ res
end
@testset "rdistinct! with :block" begin
df = DataFrame(A=[1, 1, 3, missing], B=[1, 1, 2, 1])
d = @rdistinct! copy(df) begin
:A + :B
end
@test d ≅ @rdistinct!(df, :A + :B)
d = @rdistinct! copy(df) begin
$"A" + $"B"
end
@test d ≅ @rdistinct!(df, :A + :B)
d = @rdistinct! copy(df) begin
:A
end
@test d ≅ @rdistinct!(df, :A)
subdf = @view df[df.B.==1, :]
d = @rdistinct! copy(subdf) begin
:A
end
@test d ≅ DataFrame(A=[1, missing], B=[1, 1])
df2 = DataFrames.DataFrame(x = 1:10,y = 10:-1:1, z = rand(0:1,10))
tmp = select(df2, [:x,:y] => (x,y) -> (x .+ y), :z => (z)-> z .+1; copycols = false)
rowidxs = (!).(nonunique(tmp))
res = df2[rowidxs, :]
d = @rdistinct! df2 begin
:x + :y
:z + 1
end
d ≅ res
end
end # module