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convert(Matrix, x') is so slow that I haven't gotten it to finish. convert(Matrix, x) works just fine.
convert(Matrix, x')
convert(Matrix, x)
julia> using YAXArrays, Zarr julia> path = "~/data/DataCube/v3.0.2/esdc-8d-0.25deg-1x720x1440-3.0.2.zarr" "~/data/DataCube/v3.0.2/esdc-8d-0.25deg-1x720x1440-3.0.2.zarr" julia> ds = open_dataset(path) YAXArray Dataset Shared Axes: ↓ lon Sampled{Float64} -179.875:0.25:179.875 ForwardOrdered Regular Points, → lat Sampled{Float64} -89.875:0.25:89.875 ForwardOrdered Regular Points, ↗ Ti Sampled{DateTime} [1979-01-05T00:00:00, …, 2021-12-31T00:00:00] ForwardOrdered Irregular Points Variables: .... julia> mat = ds.air_temperature_2m[Ti = 1000] ╭──────────────────────────────╮ │ 1440×720 YAXArray{Float32,2} │ ├──────────────────────────────┴──────────────────────────────────────── dims ┐ ↓ lon Sampled{Float64} -179.875:0.25:179.875 ForwardOrdered Regular Points, → lat Sampled{Float64} -89.875:0.25:89.875 ForwardOrdered Regular Points ├────────────────────────────────────────────────────── .... julia> @time convert(Matrix{Float32}, mat) 1.809297 seconds (5.15 M allocations: 362.756 MiB, 5.92% gc time, 98.13% compilation time) ... julia> @time convert(Matrix{Float32}, mat') # has to be interrupted
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convert(Matrix, x')
is so slow that I haven't gotten it to finish.convert(Matrix, x)
works just fine.The text was updated successfully, but these errors were encountered: