INNER CODE UNIT · Python

q

DataDog/KubeHound · scripts/dashboard-demo/main.py:214

    q = len(sorted_data) // TOP_ATTACKS
    iter = len(sorted_data) % TOP_ATTACKS * q
    for i in range(1, iter):
        sorted_data.popitem()

    data = pd.Series(sorted_data).reset_index(name='value').rename(columns={'index':'attacks'})
    data['angle'] = data['value']/data['value'].sum() * 2*pi
    data['color'] = TolRainbow[len(sorted_data)]

    p = figure( title=f"Attacks distribution (top{TOP_ATTACKS})", toolbar_location=None,
            tools="hover", tooltips="@attacks: @value", x_range=(-0.5, 1.0))

    r = p.wedge(x=0, y=1, radius=0.4,
            start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'),
            line_color="white", fill_color='color', legend_field='attacks', source=data)

    p.axis.axis_label=None
    p.axis.visible=False

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