短跑#

基于纽约时报互动,一个比较历史奥运会短跑时间的散点图。点击任意散点将打开一个新浏览器标签页,显示该短跑运动员的维基百科条目。

细节

示例数据:

bokeh.sampledata.sprint

Bokeh API:

figure.scatterbokeh.models.Arrowbokeh.models.ColumnDataSourcebokeh.models.Labelbokeh.models.SingleIntervalTickerbokeh.models.TapTool

更多信息:

标签

关键词:

标签,散点图,点击工具

# noqa: E501
from bokeh.models import (Arrow, ColumnDataSource, CustomJS, Label,
                          NormalHead, SingleIntervalTicker, TapTool)
from bokeh.plotting import figure, show
from bokeh.sampledata.sprint import sprint

fill_color = { "gold": "#efcf6d", "silver": "#cccccc", "bronze": "#c59e8a" }
line_color = { "gold": "#c8a850", "silver": "#b0b0b1", "bronze": "#98715d" }

def selected_name(name, medal, year):
    return name if medal == "gold" and year in [1988, 1968, 1936, 1896] else ""

t0 = sprint.Time[0]

sprint["Abbrev"]       = sprint.Country
sprint["Medal"]        = sprint.Medal.map(lambda medal: medal.lower())
sprint["Speed"]        = 100.0/sprint.Time
sprint["MetersBack"]   = 100.0*(1.0 - t0/sprint.Time)
sprint["MedalFill"]    = sprint.Medal.map(lambda medal: fill_color[medal])
sprint["MedalLine"]    = sprint.Medal.map(lambda medal: line_color[medal])
sprint["SelectedName"] = sprint[["Name", "Medal", "Year"]].apply(tuple, axis=1).map(lambda args: selected_name(*args))

source = ColumnDataSource(sprint)

tooltips = """
<div>
    <span style="font-size: 15px;">@Name</span>&nbsp;
    <span style="font-size: 10px; color: #666;">(@Abbrev)</span>
</div>
<div>
    <span style="font-size: 17px; font-weight: bold;">@Time{0.00}</span>&nbsp;
    <span style="font-size: 10px; color: #666;">@Year</span>
</div>
<div style="font-size: 11px; color: #666;">@{MetersBack}{0.00} meters behind</div>
"""

plot = figure(width=1000, height=600, x_range=(sprint.MetersBack.max()+2, 0),
              toolbar_location=None, outline_line_color=None,
              y_axis_location="right", tooltips=tooltips)
plot.y_range.range_padding = 4
plot.y_range.range_padding_units = "absolute"

plot.title.text = "Usain Bolt vs. 116 years of Olympic sprinters"
plot.title.text_font_size = "19px"

plot.xaxis.ticker = SingleIntervalTicker(interval=5, num_minor_ticks=0)
plot.xaxis.axis_line_color = None
plot.xaxis.major_tick_line_color = None
plot.xgrid.grid_line_dash = "dashed"

plot.yaxis.ticker = [1900, 1912, 1924, 1936, 1952, 1964, 1976, 1988, 2000, 2012]
plot.yaxis.major_tick_in = -5
plot.yaxis.major_tick_out = 10
plot.ygrid.grid_line_color = None

medal = plot.scatter(x="MetersBack", y="Year", size=10, source=source, level="overlay",
                     fill_color="MedalFill", line_color="MedalLine", fill_alpha=0.5)
plot.hover.renderers = [medal]

plot.text(x="MetersBack", y="Year", x_offset=10, y_offset=-5,
          text="SelectedName", text_align="left", text_baseline="middle",
          text_font_size="12px", source=source)

no_olympics_label = Label(x=7.5, y=1942, text="No Olympics in 1940 or 1944",
                          text_align="center", text_baseline="middle",
                          text_font_size="12px", text_font_style="italic",
                          text_color="silver")
plot.add_layout(no_olympics_label)

x = sprint[sprint.Year == 1900].MetersBack.min() - 0.5
arrow = Arrow(x_start=x, x_end=5, y_start=1900, y_end=1900, line_width=1.5,
              start=NormalHead(fill_color="black", size=6), end=None)
plot.add_layout(arrow)

meters_back = Label(x=5, x_offset=10, y=1900,
                    text="Meters behind\n2012 Usain Bolt",
                    text_align="left", text_baseline="middle",
                    text_font_size="13px", text_font_style="bold")
plot.add_layout(meters_back)

disclaimer = Label(x=0, y=0, x_units="screen", y_units="screen",
                   text_font_size="11px", text_color="silver",
                   text='This chart includes medals for the United States and '
                        'Australia in the "Intermediary" Games of 1906, which '
                        'the I.O.C. does not formally recognize.')
plot.add_layout(disclaimer, "below")

open_url = CustomJS(args=dict(source=source), code="""
source.inspected.indices.forEach(function(index) {
    const name = source.data["Name"][index];
    const url = "http://en.wikipedia.org/wiki/" + encodeURIComponent(name);
    window.open(url);
});
""")
plot.add_tools(TapTool(callback=open_url, renderers=[medal], behavior="inspect"))

show(plot)