I have a CSV (or rather TSV) I got from stripping the header off a gVCF with bcftools view foo.g.vcf -H > foo.g.vcf.csv A head gives me this, so everything looks like expected so far chr1H 1 . T <*> 0 . END=1000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 1001 . T <*> 0 . END=1707 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 1708 . C <*> 0 . END=1763 GT:GQ:MIN_DPL 0/0:6:2:0,6,59 chr1H 1764 . T <*> 0 . END=2000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 2001 . A <*> 0 . END=3000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 3001 . G <*> 0 . END=4000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 4001 . T <*> 0 . END=5000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 5001 . T <*> 0 . END=6000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 6001 . A <*> 0 . END=7000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 chr1H 7001 . G <*> 0 . END=8000 GT:GQ:MIN_DPL 0/0:1:0:0,0,0 When I know try to read the file as a dataframe in a Jupyter Notebook like this import polars as pl df = pl.read_csv("foo.g.vcf.csv", has_header=False, new_columns=["CHROM", "POS", "ID", "REF", "ALT", "QUAL", "FILTER", "INFO", "FORMAT", "SAMPLE"], separator="\t") I get a compute error "Original error: remaining bytes non-empty". However, when I do import pandas as pd import polars as pl df = pd.read_csv("foo.g.vcf.csv", header=None, sep="\t", names=["CHROM", "POS", "ID", "REF", "ALT", "QUAL", "FILTER", "INFO", "FORMAT", "SAMPLE"]) df = pl.DataFrame(df) every works as intended. Why can I read with pandas without problems and convert to polars, but not read with polars directly? The other VCF I want to compare with, which I stripped the same way, works with polars. Continue reading...