Checks
Issue description
read_csv can read utf-16 but scan_csv cannot. Presumably this is true for more encodings as well.
I understand that some optimizations cannot be performed when using scan_csv with non-utf8 encodings, but the functionality should still exist.
from io import StringIO
import polars as pl
with open("tmpfile.csv", "w", encoding="utf-16") as f:
f.write("a,b,c\n1,2,3\n")
# ok
pl.read_csv("tmpfile.csv", encoding="utf-16")
# ValueError: csv `encoding` must be one of {'utf8', 'utf8-lossy'}, got utf-16
pl.scan_csv("tmpfile.csv", encoding="utf-16").collect()
Installed versions
Details
--------Version info---------
Polars: 0.20.31
Index type: UInt32
Platform: Windows-10-10.0.19045-SP0
Python: 3.11.7 (tags/v3.11.7:fa7a6f2, Dec 4 2023, 19:24:49) [MSC v.1937 64 bit (AMD64)]
----Optional dependencies----
adbc_driver_manager: <not installed>
cloudpickle: <not installed>
connectorx: 0.3.2
deltalake: <not installed>
fastexcel: 0.10.4
fsspec: <not installed>
gevent: <not installed>
hvplot: <not installed>
matplotlib: 3.8.3
nest_asyncio: <not installed>
numpy: 1.26.4
openpyxl: 3.1.2
pandas: 2.1.4
pyarrow: 16.0.0
pydantic: <not installed>
pyiceberg: <not installed>
pyxlsb: <not installed>
sqlalchemy: 2.0.23
torch: <not installed>
xlsx2csv: 0.8.2
xlsxwriter: 3.1.9
Checks
Issue description
read_csvcan read utf-16 butscan_csvcannot. Presumably this is true for more encodings as well.I understand that some optimizations cannot be performed when using
scan_csvwith non-utf8 encodings, but the functionality should still exist.Installed versions
Details