paiforsyth opened a new issue, #34637: URL: https://github.com/apache/arrow/issues/34637
### Describe the enhancement requested I have a csv dataset in which nulls are encoded differently in different columns. It looks like when reading csv data with pyarrow, the same list of null_values must be used for all columns ([see ConvertOptions](https://arrow.apache.org/docs/python/generated/pyarrow.csv.ConvertOptions.html)). This concerns me because a value used as a null code in one column ("9999" for example) may be a valid non-null value in another column. In pandas's [read_csv](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html), it is possible to pass a dictionary specifying different null codes for different columns. Could this functionality be added to pyarrow? ### Component(s) Other -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@arrow.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
