Hi! I am combining several .csv files into DataFrames. Each file has uniform column numbers and data types. Everything works but when I try to combine a .csv file that contains a single row with one that contains multiple rows I get the following error. CSV.read(["singlerowfilepath","multiplerow…

This is a pretty annoying error and I think the error message should be improved (or maybe the behaviour). You can roughly guess from here: [1] (::CSV.var"#3#4")(x::PooledArrays.PooledVector{String31, UInt32, Vector{UInt32}}) @ CSV ./none:0 That it comes from PooledArrays. What’s happening her…

Error when combining single row with multiple row CSV file into DataFrames

Specific Domains Data

phantom March 15, 2024, 8:48pm 7

Sure thing. I submitted an issue with a dummy example here.

1 Like

Clarification on when order matters when reading multiple files with CSV.read?

Topic		Replies	Views
Clarification on when order matters when reading multiple files with CSV.read? New to Julia csv	4	566	April 15, 2024
Reading multiple CSVs into one DataFrame New to Julia	12	1243	February 11, 2021
Creating an identifier column when combing multiple DataFrames with CSV.read New to Julia question , csv	2	154	April 16, 2024
DataFrames: ByRow fails in transform with PooledArrays after CSV.read Data question	6	529	August 6, 2021
Append!() with two dataframe throws PooledArray error General Usage	4	460	June 3, 2019

Error when combining single row with multiple row CSV file into DataFrames

Related topics