Hello, I have a Dataframe with a frequency matrix generate about events in relation to a user. [Captura de Pantalla 2020-09-16 a la(s) 12.48.07 a. m.] I need to reduce this matrix in unique USER_ID and sum each EVENT CATEGORY - events categories correspond to category 1,2,3,4. I have tried using…

If I understand you correctly you just want to groupby the USER_ID and then sum the columns? You can do this: julia> using DataFrames julia> df = hcat(DataFrame(USER_ID = rand(100:110, 20)), DataFrame(rand(0:1, 20, 10))) 20×11 DataFrame │ Row │ USER_ID │ x1 │ x2 │ x3 │ x4 │ x5 │ x6 …

Reduce and sum Value ( frequency matrix)

General Usage

xiaodai September 16, 2020, 6:17am 3

An MWE would help Please read: make it easier to help you

Is this what u mean?

using DataFrames
using DataConvenience: @> 

@> df begin
  groupby(:USER_ID)
  combine( 1:12 .=> sum)
end

1 Like

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Reduce and sum Value ( frequency matrix)

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