-edZddlmZddlZejeZddlmZddl m Z e rddl Z dZ dZd d ZeZdS) a A table of `Will Burtin's historical data`_ regarding antibiotic efficacies. License: `MIT license`_ Sourced from: https://bl.ocks.org/borgar/cd32f1d804951034b224 This module contains one pandas Dataframe: ``data``. .. rubric:: ``data`` :bokeh-dataframe:`bokeh.sampledata.antibiotics.data` .. bokeh-sampledata-xref:: antibiotics .. _Will Burtin's historical data: https://medium.com/@harshdev_41068/burtins-legendary-data-on-antibiotics-9b32ecd5943f ) annotationsN)StringIO) TYPE_CHECKING)dataa+ bacteria, penicillin, streptomycin, neomycin, gram Mycobacterium tuberculosis, 800, 5, 2, negative Salmonella schottmuelleri, 10, 0.8, 0.09, negative Proteus vulgaris, 3, 0.1, 0.1, negative Klebsiella pneumoniae, 850, 1.2, 1, negative Brucella abortus, 1, 2, 0.02, negative Pseudomonas aeruginosa, 850, 2, 0.4, negative Escherichia coli, 100, 0.4, 0.1, negative Salmonella (Eberthella) typhosa, 1, 0.4, 0.008, negative Aerobacter aerogenes, 870, 1, 1.6, negative Brucella antracis, 0.001, 0.01, 0.007, positive Streptococcus fecalis, 1, 1, 0.1, positive Staphylococcus aureus, 0.03, 0.03, 0.001, positive Staphylococcus albus, 0.007, 0.1, 0.001, positive Streptococcus hemolyticus, 0.001, 14, 10, positive Streptococcus viridans, 0.005, 10, 40, positive Diplococcus pneumoniae, 0.005, 11, 10, positive return pd.DataFramecVddl}|jttdddS)z rNTpython)skiprowsskipinitialspaceengine)pandasread_csvrCSV)pds r s*#"""""g!!   BZZZZz||r