Hello, When the file tmp.csv just contains the string “INFI_”, the code using CSV data = CSV.read("tmp.csv",header=false,delim=';'); data gives the result 1×1 DataFrames.DataFrame │ Row │ Column1 │ │ │ String │ ├─────┼─────────┤ │ 1 │ INFI_ │ which is what I want. BUT, when the fi…

[image] steph_de_paris: That is to say, there is a cast from a string to a float. Thus, INFI seems to be a reserved words. I would check if there is an existing issue for CSV.jl, and if not, open one. This looks like a bug.

Thanks very much, Tamas ! This issue seems to have similarities to the one described in New behaviour due to an update of the package CSV when using CSV.write - #7 by steph_de_paris If there is no solution, is there another package to read a CSV file with Julia ? (except the one to come back to the…

There is [image] [ANN] TableReader.jl - A fast and simple CSV parser Package Announcements I’m excited to announce that my new package, TableReader.jl , is registered as an official package. You can now install it by add TableReader in the package management mode of REPL. …

OK, thanks again ! By the way, perhaps a solution for my issue could be CSV.read(file; types=[String]) PS : I cannot test this on my Linux OS because of the restricted access from my home (this is the weekend …).

Yes, you can always manually specify what the type of a column should be, so doing types=[String], or w/ a Dict by column id or number: types=Dict(1=>String). What’s going on here is that the Parsers.jl package parses both INF and INFINITY as valid Float64 values, and it looks like it considers any…

New behaviour due to an update of the package CSV when using CSV.read

General Usage

Tamas_Papp July 20, 2019, 3:15pm 4

There is

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New behaviour due to an update of the package CSV when using CSV.read

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