import pandas as pd
df2 = pd.read_csv("https://ftp.ncbi.nlm.nih.gov/genomes/GENOME_REPORTS/overview.txt",sep="\t",low_memory=False)
df2_bacteria = df2[df2['Kingdom'].isin(['Bacteria'])]
df2_bacteria_of_interest = df2_bacteria[df2_bacteria['#Organism/Name'].isin(['Klebsiella pneumoniae','Escherichia coli','Acinetobacter baumannii','Enterobacter','Salmonella enterica','Staphylococcus aureus'])]
df2_bacteria_of_interest
#Organism/Name Kingdom Group SubGroup Size (Mb) Chrs Organelles Plasmids BioProjects
656 Acinetobacter baumannii Bacteria Pseudomonadota Gammaproteobacteria 3.98023 3 - 11 8036
24757 Enterobacter Bacteria Pseudomonadota Gammaproteobacteria 6.09531 1 - 8 403
26034 Escherichia coli Bacteria Pseudomonadota Gammaproteobacteria 5.5946 3 - 18 35445
36753 Klebsiella pneumoniae Bacteria Pseudomonadota Gammaproteobacteria 5.68232 2 - 13 17592
63039 Salmonella enterica Bacteria Pseudomonadota Gammaproteobacteria 4.95138 88 - 9 14621
67623 Staphylococcus aureus Bacteria Terrabacteria group Bacillota 2.82136 1 - 10 15720