We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
The following simple example
## using DimensionalData ## xvals = X(-5. : 5) yvals = Y(-10. : 2 : 12) zvals = Z(-3 : 0.5 : 4) ## u = @. @d xvals * yvals v = @. @d xvals * zvals w = @. @d yvals * zvals ## f(u, v, w) = u + v + w F = @d @. f(u, v, w)
results in dims(F, X) and dims(F, Y) working fine, but it seems to have lost info on Z, i.e
dims(F, X)
dims(F, Y)
Z
julia> dims(F, X) X Sampled{Float64} ForwardOrdered Regular DimensionalData.Dimensions.Lookups.Points wrapping: -5.0:1.0:5.0 julia> dims(F, Z) Z julia>
Do I misunderstand how named-dimensional broadcasting works?
The text was updated successfully, but these errors were encountered:
Sorry for the wait, yes this seems to be a bug. What happens to Z!?
Sorry, something went wrong.
No branches or pull requests
The following simple example
results in
dims(F, X)
anddims(F, Y)
working fine, but it seems to have lost info onZ
, i.eDo I misunderstand how named-dimensional broadcasting works?
The text was updated successfully, but these errors were encountered: