Comments (5)
That would be nice, but we'd have to choose why kind of object to return. A DataFrame
?
from csv.jl.
Yes, it should return whatever CSV.read("mycsvfile.csv")
would return. i.e. use the defaults for all other arguments.
from csv.jl.
Couldn't it just return a DataStreams.Sink
type? If you wanted a DataFrame
, you could use something like DataFrame(load("myfile.csv"))
?
from csv.jl.
If someone wants to take this up, feel free, but I don't personally have a strong use-case.
from csv.jl.
Note also that you can read CSV, Feather, Excel, Stata, SPSS and SAS files via FileIO.jl today, I integrated all of that with IterableTables.jl. So DataFrame(load("filename.ext"))
and load("filename.ext") l> DataFrame
work for all those file extensions. Saving also works for CSV and Feather files.
from csv.jl.
Related Issues (20)
- Too many missing warnings HOT 3
- writeheader=true ineffective in combination with header=
- Do not convert quoted cells
- CSV.write should conditionally convert type unstable iterators
- [Bug] CSV.read randomly changes eltype of column HOT 7
- pool kwarg documentation HOT 1
- There is no clear method reading non-UTF8 gzipped file in example
- burntsushi's issue HOT 1
- Multithreaded parsing error should be warning HOT 7
- Error reading CSV - missing lines HOT 2
- Load error with Parsers.Options HOT 4
- Configurable max inline string length
- Precompilation issue in Ubuntu 22.04.2 LTS (libLLVM-14jl.so (unknown line)) HOT 14
- Formatting issues in examples
- Cannot compile this package on Julia 1.9.1 in Ubuntu 22.04 container HOT 3
- "Missing" Values HOT 2
- Keyword `decimal` not respected for AbstractFloats in CSV.write()
- Can't transfer CSV.jl v0.10.11 from Windows to Linux HOT 2
- CSV.write somehow cannot write file with name `con.csv` in Windows?! HOT 5
- Add Zenodo badge to README HOT 6
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from csv.jl.