Error loading CSV package in Jupyter Notebook

New to Julia
,
1

I found a discrepancy in behaviour while loading the CSV package in Julia in a Jupyter notebook. I am currently learning Julia for Data Science from JuliaAcademy. Now, I am using Julia in Jupyter notebook inside Microsoft VS Code and upon running using CSV, I find the following error:

in expression starting at C:\Users\user\.julia\packages\CSV\jFiCn\src\CSV.jl:1
Failed to precompile CSV [336ed68f-0bac-5ca0-87d4-7b16caf5d00b] to C:\Users\user\.julia\compiled\v1.7\CSV\jl_25FF.tmp.

Stacktrace:
 [1] error(s::String)
   @ Base .\error.jl:33
 [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, ignore_loaded_modules::Bool)
   @ Base .\loading.jl:1466
 [3] compilecache(pkg::Base.PkgId, path::String)
   @ Base .\loading.jl:1410
 [4] _require(pkg::Base.PkgId)
   @ Base .\loading.jl:1120
 [5] require(uuidkey::Base.PkgId)
   @ Base .\loading.jl:1013
 [6] require(into::Module, mod::Symbol)
   @ Base .\loading.jl:997
 [7] eval
   @ .\boot.jl:373 [inlined]
 [8] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
   @ Base .\loading.jl:1196

However, upon running the same thing in Julia REPL, surprisingly, no errors pop up:

julia> using CSV
[ Info: Precompiling CSV [336ed68f-0bac-5ca0-87d4-7b16caf5d00b]

julia> C=CSV.read("D:/Julia/Julia for Data Science/DataScience-main/programming_languages.csv",DataFrame)
73×2 DataFrame
 Row │ year   language
     │ Int64  String31
─────┼───────────────────────────────────
   1 │  1951  Regional Assembly Language
   2 │  1952  Autocode
   3 │  1954  IPL
   4 │  1955  FLOW-MATIC
   5 │  1957  FORTRAN
   6 │  1957  COMTRAN
   7 │  1958  LISP
   8 │  1958  ALGOL 58
   9 │  1959  FACT
  10 │  1959  COBOL
  11 │  1959  RPG
  ⋮  │   ⋮                ⋮
  64 │  2006  PowerShell
  65 │  2007  Clojure
  66 │  2009  Go
  67 │  2010  Rust
  68 │  2011  Dart
  69 │  2011  Kotlin
  70 │  2011  Red
  71 │  2011  Elixir
  72 │  2012  Julia
  73 │  2014  Swift
                          52 rows omitted

I don’t get why am I getting an error in my Jupyter notebook. I tried to restart my Julia kernel several times inside VS Code but to no avail. I am currently using Julia version 1.7.2. I would very much appreciate your help with this issue. Also, I guess it’s better to note that I didn’t change my directory.

Package status reports from REPL:

(@v1.7) pkg> st
      Status `C:\Users\user\.julia\environments\v1.7\Project.toml`
  [6e4b80f9] BenchmarkTools v1.3.1
  [336ed68f] CSV v0.10.4
  [5ae59095] Colors v0.12.8
  [8f4d0f93] Conda v1.7.0
  [a93c6f00] DataFrames v1.3.4
  [7876af07] Example v0.5.3
  [7073ff75] IJulia v1.23.3
  [bac558e1] OrderedCollections v1.4.1
  [58dd65bb] Plotly v0.4.1
  [f0f68f2c] PlotlyJS v0.18.8
  [91a5bcdd] Plots v1.31.4
  [27ebfcd6] Primes v0.5.3
  [438e738f] PyCall v1.93.1
  [bd369af6] Tables v1.7.0
  [b8865327] UnicodePlots v3.0.4
  [fdbf4ff8] XLSX v0.8.1
  [8bb1440f] DelimitedFiles
  [f43a241f] Downloads
  [fa267f1f] TOML
2

What is the active environment in your notebook? Can you show what

Base.active_project()

or Pkg.status() returns in a Jupyter cell?

3

I don’t know how or what happened, but the problem got solved somehow. Still, as you requested the outputs, here are they:

Base.active_project()
"C:\\Users\\user\\.julia\\environments\\v1.7\\Project.toml"

using Pkg
Pkg.status()
      Status `C:\Users\user\.julia\environments\v1.7\Project.toml`
  [6e4b80f9] BenchmarkTools v1.3.1
  [336ed68f] CSV v0.10.4
  [5ae59095] Colors v0.12.8
  [8f4d0f93] Conda v1.7.0
  [a93c6f00] DataFrames v1.3.4
  [7876af07] Example v0.5.3
  [7073ff75] IJulia v1.23.3
  [bac558e1] OrderedCollections v1.4.1
  [58dd65bb] Plotly v0.4.1
  [f0f68f2c] PlotlyJS v0.18.8
  [91a5bcdd] Plots v1.31.4
  [27ebfcd6] Primes v0.5.3
  [438e738f] PyCall v1.93.1
  [bd369af6] Tables v1.7.0
  [b8865327] UnicodePlots v3.0.4
  [fdbf4ff8] XLSX v0.8.1
  [8bb1440f] DelimitedFiles
  [f43a241f] Downloads
  [fa267f1f] TOML

As to how my problem got solved, I think I have a guess. I selected a different kernel than what I normally do, as that one is not showing up inside the Change kernel options:

image
image752×174 8.11 KB

However, I cannot figure out why my generally selected kernel is not showing up in the list above.

4

Glad it works. You can try
jupyter kernelspec list
in the REPL to see if your normal kernel is listed there. Otherwise you may have to manually add it again.