Using Julia, how can I read multiple CSV and combine columns - dataframe

Question

I'm pretty new to Julia and I consider myself as a beginner in programming in general. I coded a bit of MATLAB and Python.
I have a bunch of CSVs and I want to combine them to do data analysis. My data look like this:
using DataFrames
using Plots
using CSV
using Glob
using Pipe
file_list = glob("*.csv") #list of all csvs in dir
df = #pipe file_list[1] |> CSV.File(_,header = 2) |> DataFrame #Read file
# I could have use df = CSV.File(file_list[1], header = 2) |> DataFrame but
# I wanted to try piping multiple operation but it didn't work
[Results of the code snippet][1]
This results in: https://i.stack.imgur.com/nZTFy.png
The thing is
I want to combine the first 5 colums, as they define the time as yyyy-mm-dd-hh-mm-ss
Ideally, I would add a column with the name of the file so all would merge in a single dataframe.
As I said, I'm pretty new to Julia and programming in general. Any help is appreciated.
Thank you.

Answer 1

To pipe every item in a list, use .|>
julia> [1,2,3] .|> sqrt
3-element Array{Float64,1}:
1.0
1.4142135623730951
1.7320508075688772
you can add columns like that :
julia> using DataFrames, Dates
julia> df = DataFrame("yr"=>2000, "m"=>1:2, "d"=>[30,1], "h"=>12:13, "min"=>30:31, "sec"=>58:59)
2×6 DataFrame
Row │ yr m d h min sec
│ Int64 Int64 Int64 Int64 Int64 Int64
─────┼──────────────────────────────────────────
1 │ 2000 1 30 12 30 58
2 │ 2000 2 1 13 31 59
julia> df[!,"datetime"] = DateTime.(df[!,"yr"], df[!,"m"], df[!,"d"], df[!,"h"], df[!,"min"], df[!,"sec"])
2-element Array{DateTime,1}:
2000-01-30T12:30:58
2000-02-01T13:31:59
julia> df[!,"file"] .= "file.csv"
2-element Array{String,1}:
"file.csv"
"file.csv"
julia> df
2×8 DataFrame
Row │ yr m d h min sec datetime file
│ Int64 Int64 Int64 Int64 Int64 Int64 DateTime String
─────┼─────────────────────────────────────────────────────────────────────────
1 │ 2000 1 30 12 30 58 2000-01-30T12:30:58 file.csv
2 │ 2000 2 1 13 31 59 2000-02-01T13:31:59 file.csv