Anaconda Enterprise: Documentation

# elements.py

    import pandas as pd

    from bokeh.models import ColumnDataSource, LabelSet
    from bokeh.plotting import figure, show, output_file
    from bokeh.sampledata.periodic_table import elements

    elements = elements.copy()
    elements = elements[elements["atomic number"] <= 82]
    elements = elements[~pd.isnull(elements["melting point"])]
    mass = [float(x.strip("[]")) for x in elements["atomic mass"]]
    elements["atomic mass"] = mass

    palette = ["#053061", "#2166ac", "#4393c3", "#92c5de", "#d1e5f0",
               "#f7f7f7", "#fddbc7", "#f4a582", "#d6604d", "#b2182b", "#67001f"]

    melting_points = elements["melting point"]
    low = min(melting_points)
    high= max(melting_points)
    melting_point_inds = [int(10*(x-low)/(high-low)) for x in melting_points] #gives items in colors a value from 0-10
    elements['melting_colors'] = [palette[i] for i in melting_point_inds]

    TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
    TITLE = "Density vs Atomic Weight of Elements (colored by melting point)"

    p = figure(tools=TOOLS, toolbar_location="above", logo="grey", plot_width=1200, title=TITLE)
    p.background_fill_color= "#dddddd"
    p.xaxis.axis_label="atomic weight (amu)"
    p.yaxis.axis_label="density (g/cm^3)"
    p.grid.grid_line_color="white"

    source = ColumnDataSource(elements)

    p.circle("atomic mass", "density", size=12, source=source,
             color='melting_colors', line_color="black", fill_alpha=0.8)

    labels = LabelSet(x="atomic mass", y="density", text="symbol", y_offset=8,
                      text_font_size="8pt", text_color="#555555",
                      source=source, text_align='center')
    p.add_layout(labels)

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

    show(p)