Dataframe now also has types

evaluation.jl

@@ -44,29 +44,34 @@ model_quantitys = [
 	#:quality
 ]
 
-results = DataFrame()
-results[:index] = Int[]
-results[:dt_earliest_pickup] = Float64[]
-results[:weight] = Float64[]
-results[:resubmission_time_factor] = Float64[]
-results[:ν] = Float64[]
-results[:request_type] = Any[]
+
+########## This is just, because the Data Frame constructor still needs unintuitive workarounds 😠
+rows = [:index => Int[],
+	:dt_earliest_pickup => Float64[],
+	:weight => Float64[],
+	:resubmission_time_factor => Float64[],
+	:ν => Float64[],
+	:request_type => Symbol[]
+	]
+
 for quan in req_quantitys_mean
-	results[quan] = Measurement[]
+	push!(rows, quan => Measurement[])
 end
 
 for quan in req_quantitys_sum
-	results[quan] = Float64[]
+	push!(rows, quan => Float64[])
 end
 
 for quan in bus_quantitys
-	results[quan] = Measurement[]
+	push!(rows, quan => Measurement[])
 end
 
 for quan in model_quantitys
-	results[quan] = Measurement[]
+	push!(rows, quan> Measurement[])
 end
 
+rows = NamedTuple(rows)
+results = DataFrame(rows)
 
 
 filenames = readdir(model_path, join=true)