周期性外壳

此示例创建了一个元素周期表，带有自定义工具提示。工具提示包含多种化学数据，以及每个元素的玻尔模型。

细节

示例数据:

bokeh.sampledata.periodic_table

Bokeh API:

figure.circle, bokeh.transform.dodge, bokeh.transform.factor_cmap

更多信息:

散点标记

关键词:

circle, RendererGroup, Template, ToggleGroup

import re

import numpy as np

from bokeh.io import show
from bokeh.models import RendererGroup
from bokeh.models.dom import (ColorRef, Div, Index, Span, Styles,
                              Template, ToggleGroup, ValueRef)
from bokeh.plotting import figure
from bokeh.sampledata.periodic_table import elements
from bokeh.transform import dodge, factor_cmap

periods = ["I", "II", "III", "IV", "V", "VI", "VII"]
groups = [str(x) for x in range(1, 19)]

df = elements.copy()
df["atomic mass"] = df["atomic mass"].astype(str)
df["group"] = df["group"].astype(str)
df["period"] = [periods[x-1] for x in df.period]
df = df[df.group != "-"]
df = df[df.symbol != "Lr"]
df = df[df.symbol != "Lu"]

# 1s2
# [He] 2s2 2p6
# [Ne] 3s2 3p6
# [Ar] 3d10 4s2 4p4
# ->
# 1s2 2s2 2p6 3s2 3p6 3d10 4s2 4p4
econf = "electronic configuration"
ecs = []
for ec in df[econf]:
    n = 1
    while n != 0:
        replace = lambda m: df[df.symbol == m.group("name")][econf].values[0]
        (ec, n) = re.subn(r"\[(?P<name>\w+)\]", replace, ec)

    sc = {}
    for m in re.finditer(r"(?P<shell>\d+)\w(?P<count>\d+)", ec):
        s = int(m.group("shell"))
        c = int(m.group("count"))
        sc.setdefault(s, 0)
        sc[s] += c

    ecs.append(list(sc.values()))
df["electron shells"] = ecs

cmap = {
    "alkali metal"         : "#a6cee3",
    "alkaline earth metal" : "#1f78b4",
    "metal"                : "#d93b43",
    "halogen"              : "#999d9a",
    "metalloid"            : "#e08d49",
    "noble gas"            : "#eaeaea",
    "nonmetal"             : "#f1d4Af",
    "transition metal"     : "#599d7A",
}

TOOLTIPS = [
    ("Name", "@name"),
    ("Atomic number", "@{atomic number}"),
    ("Atomic mass", "@{atomic mass}"),
    ("Type", "@metal"),
    ("CPK color", "$color[hex, swatch]:CPK"),
    ("Electronic configuration", "@{electronic configuration}"),
]

def bohr_diagram():
    plot = figure(
        width=150, height=150,
        x_axis_type=None, y_axis_type=None,
        x_range = (-8,8), y_range = (-8,8),
        toolbar_location=None, outline_line_color=None,
        match_aspect=True,
    )
    groups = []
    for sc in df["electron shells"]:
        n = len(sc)
        group = RendererGroup(visible=False)
        groups.append(group)
        c0 = plot.circle(x=0, y=0, radius=list(range(1, n+1)), fill_color=None, line_color="black", visible=False)
        c0.group = group
        xs = np.array([])
        ys = np.array([])
        for i, c in enumerate(sc):
            da = 360/c
            r = i + 1
            A = np.radians(np.arange(0, 360, da))
            x = r*np.cos(A)
            y = r*np.sin(A)
            xs = np.append(xs, x)
            ys = np.append(ys, y)
            #plot.scatter(x=x, y=y, size=5)
            #plot.polar.scatter(r=i+1, phi=list(range(0, 360, da)), phi_units="deg", size=5)
        c1 = plot.scatter(x=xs, y=ys, size=5, visible=False)
        c1.group = group
    return plot, groups

def tooltips():
    plot, groups = bohr_diagram()

    style = Styles(
        display="grid",
        grid_template_columns="auto auto",
        column_gap="10px",
    )
    grid = Div(style=style)
    grid.children = [
        Span(),                     Span(children=["#", Index()]),
        "Name",                     Span(style=dict(font_weight="bold"), children=[ValueRef(field="name")]),
        "Atomic number",            ValueRef(field="atomic number"),
        "Atomic mass",              ValueRef(field="atomic mass"),
        "Type",                     ValueRef(field="metal"),
        "CPK color",                ColorRef(field="CPK", hex=True, swatch=True),
        "Electronic configuration", ValueRef(field="electronic configuration"),
        Span(),                     plot,
    ]
    return Template(children=[grid], actions=[ToggleGroup(groups=groups)])

p = figure(title="Periodic Table (omitting LA and AC Series)", width=1000, height=450,
           x_range=groups, y_range=list(reversed(periods)),
           tools="hover", toolbar_location=None, tooltips=tooltips())

r = p.rect("group", "period", 0.95, 0.95, source=df, fill_alpha=0.6, legend_field="metal",
           color=factor_cmap('metal', palette=list(cmap.values()), factors=list(cmap.keys())))

text_props = dict(source=df, text_align="left", text_baseline="middle")

x = dodge("group", -0.4, range=p.x_range)

p.text(x=x, y="period", text="symbol", text_font_style="bold", **text_props)

p.text(x=x, y=dodge("period", 0.3, range=p.y_range), text="atomic number",
       text_font_size="11px", **text_props)

p.text(x=x, y=dodge("period", -0.35, range=p.y_range), text="name",
       text_font_size="7px", **text_props)

p.text(x=x, y=dodge("period", -0.2, range=p.y_range), text="atomic mass",
       text_font_size="7px", **text_props)

p.text(x=["3", "3"], y=["VI", "VII"], text=["LA", "AC"], text_align="center", text_baseline="middle")

p.outline_line_color = None
p.grid.grid_line_color = None
p.axis.axis_line_color = None
p.axis.major_tick_line_color = None
p.axis.major_label_standoff = 0
p.legend.orientation = "horizontal"
p.legend.location ="top_center"
p.hover.renderers = [r] # only hover element boxes

show(p)