import pandas as pd from bokeh.models import ColumnDataSource, LabelSet from bokeh.plotting import figure, output_file, show 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] TITLE = "Density vs Atomic Weight of Elements (colored by melting point)" TOOLS = "hover,pan,wheel_zoom,box_zoom,reset,save" p = figure(tools=TOOLS, toolbar_location="above", plot_width=1200, title=TITLE) p.toolbar.logo = "grey" 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" p.hover.tooltips = [ ("name", "@name"), ("symbol:", "@symbol"), ("density", "@density"), ("atomic weight", "@{atomic mass}"), ("melting point", "@{melting point}") ] 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="11px", text_color="#555555", source=source, text_align='center') p.add_layout(labels) output_file("elements.html", title="elements.py example") show(p)