plotting_whisker.py — Anaconda Enterprise 4.4 documentation

Anaconda Enterprise: Documentation

# plotting_whisker.py

    from bokeh.models import ColumnDataSource, Whisker
    from bokeh.plotting import figure, show
    from bokeh.sampledata.autompg import autompg as df

    colors = ["red", "olive", "darkred", "goldenrod", "skyblue", "orange", "salmon"]

    p = figure(plot_width=600, plot_height=300, title="Years vs mpg with Quartile Ranges")

    base, lower, upper = [], [], []

    for i, year in enumerate(list(df.yr.unique())):
        year_mpgs = df[df['yr'] == year]['mpg']
        mpgs_mean = year_mpgs.mean()
        mpgs_std = year_mpgs.std()
        lower.append(mpgs_mean - mpgs_std)
        upper.append(mpgs_mean + mpgs_std)
        base.append(year)

    source_error = ColumnDataSource(data=dict(base=base, lower=lower, upper=upper))

    p.add_layout(
        Whisker(source=source_error, base="base", upper="upper", lower="lower")
    )

    for i, year in enumerate(list(df.yr.unique())):
        y = df[df['yr'] == year]['mpg']
        color = colors[i % len(colors)]
        p.circle(x=year, y=y, color=color)

    show(p)