Bump compat, PrettyTables="3.0"

Project.toml

@@ -1,7 +1,7 @@
 name = "ScientificTypes"
 uuid = "321657f4-b219-11e9-178b-2701a2544e81"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "3.1.1"
+version = "3.1.2"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -18,7 +18,7 @@ Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 CategoricalArrays = "0.8, 0.9, 0.10, 1"
 ColorTypes = "0.9, 0.10, 0.11, 0.12"
 Distributions = "0.25.1"
-PrettyTables = "1, 2"
+PrettyTables = "3"
 Reexport = "1.2"
 ScientificTypesBase = "3.0"
 StatisticalTraits = "3.0"

src/schema.jl

@@ -244,10 +244,11 @@ function _rows_schema(rows, sch::Tables.Schema{nothing, nothing})
 end
 
 function Base.show(io::IO, ::MIME"text/plain", s::Schema)
-    data = Tables.matrix(s)
-    header = (["names", "scitypes", "types"],)
-    pretty_table(io, data, header=header;
-                 header_crayon=Crayon(bold=false),
-                 alignment=:l)
-end
+    # for getting rid of bold in table headings:
+    style = PrettyTables.TextTableStyle(
+        first_line_column_label = PrettyTables.crayon"black",
+    )
 
+    column_labels = [["names", "scitypes", "types"],]
+    pretty_table(io, s; column_labels, style, alignment=:l)
+end

test/schema.jl

@@ -33,17 +33,21 @@
 
     # Schema show
     df = DataFrame(x=[1.0,2.0,3.0], y=["a","b","c"])
-    s = schema(df)
-    io = IOBuffer()
-    show(io, MIME("text/plain"), ScientificTypes.schema(df))
-    @test String(take!(io)) == "┌───────┬────────────┬─────────┐\n│ names │ scitypes   │ types   │\n├───────┼────────────┼─────────┤\n│ x     │ Continuous │ Float64 │\n│ y     │ Textual    │ String  │\n└───────┴────────────┴─────────┘\n"
+    s = ScientificTypes.schema(df)
+    str = sprint(show, MIME("text/plain"), s)
+    @test str == "┌───────┬────────────┬─────────┐\n"*
+        "│ names │ scitypes   │ types   │\n"*
+        "├───────┼────────────┼─────────┤\n"*
+        "│ x     │ Continuous │ Float64 │\n"*
+        "│ y     │ Textual    │ String  │\n"*
+        "└───────┴────────────┴─────────┘\n"
 end
 
 struct MySchemalessTable{U, V}
     x::Vector{U}
     y::Vector{V}
 end
- 
+
 Tables.istable(::MySchemalessTable) = true
 Tables.columnaccess(::Type{<:MySchemalessTable}) = true
 Tables.columns(t::MySchemalessTable) = t
@@ -63,7 +67,7 @@ struct ExtremelyWideTable{U, V}
     a::Vector{U}
     b::Vector{V}
 end
- 
+
 Tables.istable(::ExtremelyWideTable) = true
 Tables.columnaccess(::Type{<:ExtremelyWideTable}) = true
 Tables.columns(t::ExtremelyWideTable) = t
@@ -105,13 +109,13 @@ end
 
     # schema of non-tabular objects
     @test_throws ArgumentError schema([:x, :y])
- 
+
     # PR #61 "schema check for `Tables.DictColumn`"
     X1 = Dict(:a=>rand(5), :b=>rand(Int, 5))
     s1 = schema(X1)
     @test s1.scitypes == (Continuous, Count)
     @test s1.types == (Float64, Int64)
- 
+
     # issue 47 (schema for objects, `X` with, `Tables.schema(X) == nothing`)
     X2 = MySchemalessTable(rand(3), rand(Int, 3))
     s2 = schema(X2)
@@ -132,8 +136,8 @@ end
     @test ST._rows_schema(
         Tables.rows(X3), Tables.schema(X3)
     ) == ST.Schema(Tables.columnnames(X3), (Continuous, Count), (Float64, Int))
-    
-    # test schema for column oreinted tables with number of columns 
+
+    # test schema for column oreinted tables with number of columns
     # exceeding COLS_SPECIALIZATION_THRESHOLD.
     nt = NamedTuple{
             Tuple(Symbol("x$i") for i in Base.OneTo(ST.COLS_SPECIALIZATION_THRESHOLD + 1))
@@ -154,7 +158,6 @@ end
         Tables.columnnames(nt),
         NTuple{ST.COLS_SPECIALIZATION_THRESHOLD + 1, Continuous},
         NTuple{ST.COLS_SPECIALIZATION_THRESHOLD + 1, Float64}
-    )  
+    )
 
  end
-