The column names are not correct

[petrokvitka]

I have recently tried the gtfparse and run into a problem. I am not sure if I am using it not right or if there is a small bug in the gtfparse. I will be thankful for any help!

my code is:
df = read_gtf(gtf_genes)
df_genes = df[df["feature"] == "gene"][df["gene_name"] == genes_of_interest[0]]
print(df_genes)
print(df_genes["seqname"], df_genes["source"], df_genes["feature"], df_genes["start"], df_genes["end"])

and the output is:
Extracted GTF attributes: ['gene_id', 'gene_type', 'gene_name', 'level', 'tag', 'havana_gene']
seqname source feature start ... gene_name level tag havana_gene
0 chr14 HAVANA gene 19062316 ... DUXAP9 1 pseudo_consens OTTHUMG00000188246.3
[1 rows x 14 columns]
0 chr14
Name: seqname, dtype: object 0 HAVANA
Name: source, dtype: object 0 gene
Name: feature, dtype: object 0 19062316
Name: start, dtype: int64 0 19115270
Name: end, dtype: int64

while I would expect to see something like this:

Name: seqname, dtype: object 0 chr14
Name: source, dtype: object 0 HAVANA
Name: feature, dtype: object 0 gene
Name: start, dtype: int64 0 19062316
Name: end, dtype: int64 19115270

it seems to me like the names of columns are switched to the right and I don't understand how to handle it...