sprint#
A scatter plot comparing historical Olympic sprint times, based on a New York Times interactive. Tapping any of the scatter points will open a new browser tab for the Wikipedia entry of the sprinter.
Details
- Sampledata:
- Bokeh APIs:
figure.scatter
,bokeh.models.Arrow
,bokeh.models.ColumnDataSource
,bokeh.models.Label
,bokeh.models.SingleIntervalTicker
,bokeh.models.TapTool
- More info:
- Keywords:
label, scatter, taptool
# 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>
<span style="font-size: 10px; color: #666;">(@Abbrev)</span>
</div>
<div>
<span style="font-size: 17px; font-weight: bold;">@Time{0.00}</span>
<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.circle(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)