Comments (2)
Glad you figured it out!
from csv.jl.
I think I found a solution. The command Pkg.Registry.add() on my linux machine did the trick.
Thanks for a great package.
´´´
julia> Pkg.Registry.add()
Installing known registries into ~/.julia
true
(pkg_linux) pkg> st
Status ~/projects/pkg_linux/Project.toml
→ [336ed68f] CSV v0.10.11
Info Packages marked with → are not downloaded, use instantiate
to download
(pkg_linux) pkg> instantiate
Installed OrderedCollections ─ v1.6.2
Installed DataAPI ──────────── v1.15.0
Installed SentinelArrays ───── v1.4.0
Installed Tables ───────────── v1.10.1
Installed CodecZlib ────────── v0.7.2
Installed Compat ───────────── v4.9.0
Installed TranscodingStreams ─ v0.9.13
Installed Preferences ──────── v1.4.0
Installed PrecompileTools ──── v1.1.2
Installed CSV ──────────────── v0.10.11
Installed Parsers ──────────── v2.7.2
Precompiling project...
15 dependencies successfully precompiled in 33 seconds. 8 already precompiled.
(pkg_linux) pkg> st
Status ~/projects/pkg_linux/Project.toml
[336ed68f] CSV v0.10.11
´´´
from csv.jl.
Related Issues (20)
- Formatting issues in examples
- Cannot compile this package on Julia 1.9.1 in Ubuntu 22.04 container HOT 3
- "Missing" Values HOT 2
- Keyword `decimal` not respected for AbstractFloats in CSV.write()
- CSV.write somehow cannot write file with name `con.csv` in Windows?! HOT 5
- Add Zenodo badge to README HOT 6
- Segfault on Julia 1.9 on Intel Sapphire Rapids during precompilation
- `bufsize` of `write` is defined to be length of row but actually cells
- can not read the csv with large cells written by itself HOT 1
- Formatting broken on Examples page in documentation HOT 2
- CSV.jl fails to precompile on Ubuntu server, v0.10.5 and up. HOT 2
- Error on CSV.read attempt HOT 4
- `emptyvalue` keyword option
- CSV.Chunks splits file into uneven chunks
- CSV.jl errors on nightly
- Incorrect results for `argmax` with multithreaded parsing HOT 1
- CSV is failing PkgEval HOT 4
- Error when combining single row with multiple row CSV file into a DataFrame with pooling on. HOT 1
- `Date` types should not be inferred from column
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from csv.jl.