>>> import plotly.figure_factory as ff

>>> data = [
...   {"label": "revenue", "sublabel": "us$, in thousands",
...    "range": [150, 225, 300], "performance": [220,270], "point": [250]},
...   {"label": "Profit", "sublabel": "%", "range": [20, 25, 30],
...    "performance": [21, 23], "point": [26]},
...   {"label": "Order Size", "sublabel":"US$, average","range": [350, 500, 600],
...    "performance": [100,320],"point": [550]},
...   {"label": "New Customers", "sublabel": "count", "range": [1400, 2000, 2500],
...    "performance": [1000, 1650],"point": [2100]},
...   {"label": "Satisfaction", "sublabel": "out of 5","range": [3.5, 4.25, 5],
...    "performance": [3.2, 4.7], "point": [4.4]}
... ]

>>> fig = ff.create_bullet(
...     data, titles='label', subtitles='sublabel', markers='point',
...     measures='performance', ranges='range', orientation='h',
...     title='my simple bullet chart'
... )
>>> fig.show()

>>> import plotly.figure_factory as ff
>>> import pandas as pd
>>> data = pd.read_json('https://cdn.rawgit.com/plotly/datasets/master/BulletData.json')

>>> fig = ff.create_bullet(
...     data, titles='title', markers='markers', measures='measures',
...     orientation='v', measure_colors=['rgb(14, 52, 75)', 'rgb(31, 141, 127)'],
...     scatter_options={'marker': {'symbol': 'circle'}}, width=700)
>>> fig.show()