Lukas Weber

Initializing Dataframe from vector of named tuples: missing values

5

When I initialize my dataframe using ```julia df = DataFrame([(a=1,b=2), (a=3,b=4), (a=1,)]) ``` I would expect to get | a | b | | --- | --- | | 1...

freeze when `hdf5_type_id` on self-referential datatype

17

For example ```julia using HDF5 struct A x::A end HDF5.hdf5_type_id(A) # hangs ``` For a recursive type, the function will keep calling itself, leading to an infinite loop. I am...

Writing scalar datasets of compound types

3

Hi, I recently noticed that `datatype()` now works for all kinds of Julia structs! That’s such an awesome feature, allowing me to simplify my code a lot. There is one...

I noticed that there are methods of `*` and `dot` for the `AbstractZero` types that work like ```julia Base.:*(::NoTangent, ::NoTangent) = NoTangent() LinearAlgebra.dot(::NoTangent, ::ZeroTangent) = ZeroTangent() ``` However, if *both*...

Add native int128/uint128 support

4

I saw in #2154 that native float16 support is planned. Are there plans to add int128 as well?

[BUG] grouping Measurement data leads to wrong errorbars in plot

2

## Details ```julia using Measurements using Plots data = range(0, 1, 10) .± range(0, 1, 10) ids = mod.(1:10, 2) plot( plot(data, title="expected errorbars"), plot(data, group=ids, title="wrong errorbars") ) ```...

RecipesPipeline: GroupBy: apply idxfilter to errorbars

1

Fixes #4917 ## Description I included `:xerror`, `:yerror`, and `:zerror` in the list of keys that `idxfilter` gets applied to. Maybe there are other keys that should be included? Also...

Plots.jl integration: grouping data leads to wrong errorbars

1

(Originally I had opened JuliaPlots/Plots.jl#4917, but then I realized the recipe is actually in this repository.) If you use the `group` keyword with Measurement data, the errorbars of different data...

First of all, thank you for this wonderful package! I had no idea that it was from somebody in CFEL! I noticed that it is not possible to create bold...