Comments (2)
I can't replicate this. Is it still happening?
julia> using DimensionalData
julia> using DimensionalData: X, Y
julia> using Dates
julia> timespan = DateTime(2001):Month(1):DateTime(2001,12)
2001-01-01T00:00:00:1 month:2001-12-01T00:00:00
julia> A = DimensionalArray(rand(12,10), (DimensionalData.Time(timespan), X(10:10:100)))
12×10 DimensionalArray{Float64,2,Tuple{DimensionalData.Time{StepRange{DateTime,Month},RegularGrid{Ordered{DimensionalData.Forward,DimensionalData.Forward,DimensionalData.Forward},Start,UnknownSampling,Month},Nothing},X{StepRange{Int64,Int64},RegularGrid{Ordered{DimensionalData.Forward,DimensionalData.Forward,DimensionalData.Forward},Start,UnknownSampling,Int64},Nothing}},Tuple{},Array{Float64,2}}:
0.0776105 0.925777 0.558527 0.583986 … 0.867185 0.930782 0.793229
0.521122 0.281416 0.125362 0.67321 0.0889359 0.133419 0.143635
0.385317 0.666862 0.320545 0.627386 0.12881 0.519206 0.752353
0.537425 0.228352 0.163695 0.741291 0.461152 0.246101 0.925611
0.559772 0.238098 0.615711 0.0314664 4.12008e-5 0.772151 0.763585
0.541278 0.601549 0.34137 0.646144 … 0.0517382 0.500723 0.0319282
0.197765 0.658414 0.046984 0.496276 0.216309 0.935549 0.482056
0.263786 0.230633 0.120103 0.611183 0.268784 0.466343 0.31802
0.0221642 0.697741 0.597471 0.389846 0.754843 0.390137 0.375023
0.372801 0.345614 0.931029 0.29983 0.794064 0.03389 0.469851
0.818842 0.894352 0.23858 0.364617 … 0.360101 0.740786 0.544302
0.255332 0.303406 0.873526 0.794501 0.0976495 0.575674 0.981645
julia>
from dimensionaldata.jl.
Hm, I can't replicate that either. I wonder how ti came to be.... well anyway, closed issues a re good issues :P
from dimensionaldata.jl.
Related Issues (20)
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from dimensionaldata.jl.