Related Issues (20)
- `bufsize` of `write` is defined to be length of row but actually cells
- can not read the csv with large cells written by itself HOT 1
- Formatting broken on Examples page in documentation HOT 2
- CSV.jl fails to precompile on Ubuntu server, v0.10.5 and up. HOT 2
- Error on CSV.read attempt HOT 4
- `emptyvalue` keyword option
- CSV.Chunks splits file into uneven chunks
- CSV.jl errors on nightly
- Incorrect results for `argmax` with multithreaded parsing HOT 1
- CSV is failing PkgEval HOT 4
- Error when combining single row with multiple row CSV file into a DataFrame with pooling on. HOT 1
- `Date` types should not be inferred from column
- CSV is broken in nightly julia
- 1.12.0-DEV.317 ERROR: LoadError: TypeError: in typeassert, expected Tuple{Vector{UInt8}, Int64, Int64, Union{Nothing, String}}, got a value of type Tuple{Memory{UInt8}, Int64, Int64, Nothing}
- Error when passing as `source` a vector with fewer unique elements than files.
- CSV.File failing for gzipped file in Julia 1.11-rc
- CSV.write() with append=true allocating a lot of memory
- Fail to read multiple-line string with multiple tasks
- Cannot round-trip a file (read, write, read) in some circumstances HOT 5
- Segfault when reading into dataframe with a transpose
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from csv.jl.