Creating a bullet graph using Bokeh

This is the notebook associated with the article at Pbpython.com

In [1]:
from bokeh.io import show, output_notebook
from bokeh.palettes import PuBu4
from bokeh.plotting import figure
from bokeh.models import Label
In [2]:
output_notebook()
Loading BokehJS ...
In [3]:
# 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]
In [4]:
# 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
In [5]:
# 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')]
In [6]:
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)
In [7]:
show(p)
In [8]:
# 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")
Out[8]:
GlyphRenderer(
id = 'b74dd2be-5247-49c2-8f91-74b8b95b65c3', …)
In [9]:
show(p)
In [10]:
# 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)
Out[10]:
GlyphRenderer(
id = '4abe5572-1d9d-4d00-8328-3e14208c2059', …)
In [11]:
show(p)
In [12]:
# 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))
In [13]:
show(p)