Using polars.read_csv on a large data set results in a failure because of a field delimiter issue. Ignore_errors skips the erroneous records, but I have no idea if one or thousands of records were ignored. Is there a way to pipe the bad records to a bad file or report the number of ignored rows? I wish the world was simple enough for data to support single character column delimiters, but that hasn't happened yet - why doesn't pandas/pyarrow/polars support multi character field delimiters? Continue reading...