Hello,
I have
begin
Sessions = "Piano","Guitar","Harmonica"
Wall_E = DataFrame((ID = Any[1:10...], Cost = rand(1:50,10), Sessions = String["$Sessions" for i in 1:10]))
end
How can I create a random array of
elements in the dataframe?
Thank you,
This is weird code, why do you have begin
and end
here? Why are you passing a NamedTuple
to the DataFrame
constructor rather than just using the keywords? Why are you creating ID
as Any[1:10...]
?
To answer your question though, rand
can sample from any collection, so you want:
DataFrame(ID = 1:10, Cost = rand(1:50,10), Sessions = rand(Sessions, 10))
Hi @Nils ,
I am using Pluto.jl.
Also, I am new to using Julia and used
code that was posted here.
Thanks for your response, saved
me loads of time.
As a general aside, there's no need to always quote everyone's messages - they appear right above yours most of the time anyway, so it just adds unnecessary visual clutter.
Understood re Pluto, which I guess is where the begin ... end
comes from. I would suggest to leave this out, and when you create minimum working examples to illustrate your issues just run them in a fresh Julia REPL session. If something then doesn't work in Pluto that's a Pluto specific issue and you should ask on the Pluto topic, but when just discussing DataFrame operations it's a bit of a distraction.
FInally, I would strongly encourage you to read through the DataFrames documentation, and work through the tutorial here: https://github.com/bkamins/Julia-DataFrames-Tutorial - I have a feeling that you'll be able to answer 95% of your own questions after doing so.
Hi @Nils ,
Noted -- I will remove the code block designations
for Pluto.jl to not confuse the potential readers &
will not keep the quoted materials from any
respondents. Thank you for the resource will
explore it now!
Best,
I would also recommend to read series of blog posts in https://bkamins.github.io/ There you will usually find explanations of implementation details, close to real world examples, best practices and so on.
You may start from
and if you know pandas or R dataframes
https://bkamins.github.io/julialang/2020/09/25/comparisons.html
Andrey Oskin
I will add this to my growing catalog of
Julia references. Thank you very much.
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Last updated: Nov 06 2024 at 04:40 UTC