from bokeh.io import show, output_notebook
from bokeh.palettes import PuBu4
from bokeh.plotting import figure
from bokeh.models import Label
output_notebook()
<div class="bk-root">
<a href="https://bokeh.pydata.org" target="_blank" class="bk-logo bk-logo-small bk-logo-notebook"></a>
<span id="a390c47f-10e0-4e58-9dfc-bd71d2e560ba">Loading BokehJS ...</span>
</div>
# Load in the data
data= [("John Smith", 105, 120),
("Jane Jones", 99, 110),
("Fred Flintstone", 109, 125),
("Barney Rubble", 135, 123),
("Mr T", 45, 105)]
limits = [0, 20, 60, 100, 160]
labels = ["Poor", "OK", "Good", "Excellent"]
cats = [x[0] for x in data]
# Create the base figure
p=figure(title="Sales Rep Performance", plot_height=350, plot_width=800, y_range=cats)
p.x_range.range_padding = 0
p.grid.grid_line_color = None
p.xaxis[0].ticker.num_minor_ticks = 0
# Here's the format of the data we need
print(list(zip(limits[:-1], limits[1:], PuBu4[::-1])))
[(0, 20, '#f1eef6'), (20, 60, '#bdc9e1'), (60, 100, '#74a9cf'), (100, 160, '#0570b0')]
for left, right, color in zip(limits[:-1], limits[1:], PuBu4[::-1]):
p.hbar(y=cats, left=left, right=right, height=0.8, color=color)
show(p)
# Now add the black bars for the actual performance
perf = [x[1] for x in data]
p.hbar(y=cats, left=0, right=perf, height=0.3, color="black")
GlyphRenderer(
id = 'e93f5798-f4ae-446b-9f3c-942c68bace00', …)
show(p)
# Add the segment for the target
comp = [x[2]for x in data]
p.segment(x0=comp, y0=[(x, -0.5) for x in cats], x1=comp,
y1=[(x, 0.5) for x in cats], color="white", line_width=2)
GlyphRenderer(
id = 'ee3ab49b-2855-47a8-96eb-8ebeab7b488b', …)
show(p)
# Add the labels
for start, label in zip(limits[:-1], labels):
p.add_layout(Label(x=start, y=0, text=label, text_font_size="10pt",
text_color='black', y_offset=5, x_offset=15))
show(p)