Anaconda Enterprise: Documentation

# burtin.py

    from collections import OrderedDict
    from math import log, sqrt

    import numpy as np
    import pandas as pd
    from six.moves import cStringIO as StringIO

    from bokeh.plotting import figure, show, output_file

    antibiotics = """
    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
    """

    drug_color = OrderedDict([
        ("Penicillin",   "#0d3362"),
        ("Streptomycin", "#c64737"),
        ("Neomycin",     "black"  ),
    ])

    gram_color = {
        "positive" : "#aeaeb8",
        "negative" : "#e69584",
    }

    df = pd.read_csv(StringIO(antibiotics),
                     skiprows=1,
                     skipinitialspace=True,
                     engine='python')

    width = 800
    height = 800
    inner_radius = 90
    outer_radius = 300 - 10

    minr = sqrt(log(.001 * 1E4))
    maxr = sqrt(log(1000 * 1E4))
    a = (outer_radius - inner_radius) / (minr - maxr)
    b = inner_radius - a * maxr

    def rad(mic):
        return a * np.sqrt(np.log(mic * 1E4)) + b

    big_angle = 2.0 * np.pi / (len(df) + 1)
    small_angle = big_angle / 7

    p = figure(plot_width=width, plot_height=height, title="",
        x_axis_type=None, y_axis_type=None,
        x_range=(-420, 420), y_range=(-420, 420),
        min_border=0, outline_line_color="black",
        background_fill_color="#f0e1d2", border_fill_color="#f0e1d2",
        toolbar_sticky=False)

    p.xgrid.grid_line_color = None
    p.ygrid.grid_line_color = None

    # annular wedges
    angles = np.pi/2 - big_angle/2 - df.index.to_series()*big_angle
    colors = [gram_color[gram] for gram in df.gram]
    p.annular_wedge(
        0, 0, inner_radius, outer_radius, -big_angle+angles, angles, color=colors,
    )

    # small wedges
    p.annular_wedge(0, 0, inner_radius, rad(df.penicillin),
                    -big_angle+angles+5*small_angle, -big_angle+angles+6*small_angle,
                    color=drug_color['Penicillin'])
    p.annular_wedge(0, 0, inner_radius, rad(df.streptomycin),
                    -big_angle+angles+3*small_angle, -big_angle+angles+4*small_angle,
                    color=drug_color['Streptomycin'])
    p.annular_wedge(0, 0, inner_radius, rad(df.neomycin),
                    -big_angle+angles+1*small_angle, -big_angle+angles+2*small_angle,
                    color=drug_color['Neomycin'])

    # circular axes and lables
    labels = np.power(10.0, np.arange(-3, 4))
    radii = a * np.sqrt(np.log(labels * 1E4)) + b
    p.circle(0, 0, radius=radii, fill_color=None, line_color="white")
    p.text(0, radii[:-1], [str(r) for r in labels[:-1]],
           text_font_size="8pt", text_align="center", text_baseline="middle")

    # radial axes
    p.annular_wedge(0, 0, inner_radius-10, outer_radius+10,
                    -big_angle+angles, -big_angle+angles, color="black")

    # bacteria labels
    xr = radii[0]*np.cos(np.array(-big_angle/2 + angles))
    yr = radii[0]*np.sin(np.array(-big_angle/2 + angles))
    label_angle=np.array(-big_angle/2+angles)
    label_angle[label_angle < -np.pi/2] += np.pi # easier to read labels on the left side
    p.text(xr, yr, df.bacteria, angle=label_angle,
           text_font_size="9pt", text_align="center", text_baseline="middle")

    # OK, these hand drawn legends are pretty clunky, will be improved in future release
    p.circle([-40, -40], [-370, -390], color=list(gram_color.values()), radius=5)
    p.text([-30, -30], [-370, -390], text=["Gram-" + gr for gr in gram_color.keys()],
           text_font_size="7pt", text_align="left", text_baseline="middle")

    p.rect([-40, -40, -40], [18, 0, -18], width=30, height=13,
           color=list(drug_color.values()))
    p.text([-15, -15, -15], [18, 0, -18], text=list(drug_color),
           text_font_size="9pt", text_align="left", text_baseline="middle")

    output_file("burtin.html", title="burtin.py example")

    show(p)