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Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version.
import plotly
plotly.__version__
'2.4.1'
import plotly.plotly as py
data = dict(
type='sankey',
node = dict(
pad = 15,
thickness = 20,
line = dict(
color = "black",
width = 0.5
),
label = ["A1", "A2", "B1", "B2", "C1", "C2"],
color = ["blue", "blue", "blue", "blue", "blue", "blue"]
),
link = dict(
source = [0,1,0,2,3,3],
target = [2,3,3,4,4,5],
value = [8,4,2,8,4,2]
))
layout = dict(
title = "Basic Sankey Diagram",
font = dict(
size = 10
)
)
fig = dict(data=[data], layout=layout)
py.iplot(fig, validate=False)
import plotly.plotly as py
data = dict(
type='sankey',
domain = dict(
x = [0,1],
y = [0,1]
),
orientation = "h",
valueformat = ".0f",
valuesuffix = "TWh"
)
layout = dict(
title = "Energy forecast for 2050<br>Source: Department of Energy & Climate Change, Tom Counsell via <a href='https://bost.ocks.org/mike/sankey/'>Mike Bostock</a>",
font = dict(
size = 10
)
)
import plotly.plotly as py
import urllib, json
url = 'https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy.json'
response = urllib.urlopen(url)
data = json.loads(response.read())
data_trace = dict(
type='sankey',
domain = dict(
x = [0,1],
y = [0,1]
),
orientation = "h",
valueformat = ".0f",
valuesuffix = "TWh",
node = dict(
pad = 15,
thickness = 15,
line = dict(
color = "black",
width = 0.5
),
label = data['data'][0]['node']['label'],
color = data['data'][0]['node']['color']
)
)
layout = dict(
title = "Energy forecast for 2050<br>Source: Department of Energy & Climate Change, Tom Counsell via <a href='https://bost.ocks.org/mike/sankey/'>Mike Bostock</a>",
font = dict(
size = 10
)
)
import plotly.plotly as py
import urllib, json
url = 'https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy.json'
response = urllib.urlopen(url)
data = json.loads(response.read())
data_trace = dict(
type='sankey',
width = 1118,
height = 772,
domain = dict(
x = [0,1],
y = [0,1]
),
orientation = "h",
valueformat = ".0f",
valuesuffix = "TWh",
node = dict(
pad = 15,
thickness = 15,
line = dict(
color = "black",
width = 0.5
),
label = data['data'][0]['node']['label'],
color = data['data'][0]['node']['color']
),
link = dict(
source = data['data'][0]['link']['source'],
target = data['data'][0]['link']['target'],
value = data['data'][0]['link']['value'],
label = data['data'][0]['link']['label']
))
layout = dict(
title = "Energy forecast for 2050<br>Source: Department of Energy & Climate Change, Tom Counsell via <a href='https://bost.ocks.org/mike/sankey/'>Mike Bostock</a>",
font = dict(
size = 10
)
)
fig = dict(data=[data_trace], layout=layout)
py.iplot(fig, validate=False)
import plotly.plotly as py
import urllib, json
url = 'https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy_dark.json'
response = urllib.urlopen(url)
data = json.loads(response.read())
data_trace = dict(
type='sankey',
width = 1118,
height = 772,
domain = dict(
x = [0,1],
y = [0,1]
),
orientation = "h",
valueformat = ".0f",
valuesuffix = "TWh",
node = dict(
pad = 15,
thickness = 15,
line = dict(
color = "black",
width = 0.5
),
label = data['data'][0]['node']['label']
),
link = dict(
source = data['data'][0]['link']['source'],
target = data['data'][0]['link']['target'],
value = data['data'][0]['link']['value'],
label = data['data'][0]['link']['label']
))
layout = dict(
title = "Energy forecast for 2050<br>Source: Department of Energy & Climate Change, Tom Counsell via <a href='https://bost.ocks.org/mike/sankey/'>Mike Bostock</a>",
font = dict(
size = 10,
color = 'white'
),
plot_bgcolor = 'black',
paper_bgcolor = 'black'
)
fig = dict(data=[data_trace], layout=layout)
py.iplot(fig, validate = False)
See https://plotly.com/python/reference/#sankey for more information and options!
from IPython.display import display, HTML
display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))
! pip install git+https://github.com/plotly/publisher.git --upgrade
import publisher
publisher.publish(
'sankey.ipynb', 'python/sankey-diagram/', 'Sankey Diagram',
'How to make Sankey Diagrams in Python with Plotly.',
title = 'Sankey Diagram | Plotly',
has_thumbnail='true', thumbnail='thumbnail/sankey.jpg',
language='python',
display_as='basic', order=11,
ipynb= '~notebook_demo/151')
Collecting git+https://github.com/plotly/publisher.git
Cloning https://github.com/plotly/publisher.git to c:\users\brand\appdata\local\temp\pip-7q_aoy90-build
Installing collected packages: publisher
Found existing installation: publisher 0.11
Uninstalling publisher-0.11:
Successfully uninstalled publisher-0.11
Running setup.py install for publisher: started
Running setup.py install for publisher: finished with status 'done'
Successfully installed publisher-0.11
C:\Python27\lib\site-packages\IPython\nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead. C:\Python27\lib\site-packages\publisher\publisher.py:53: UserWarning: Did you "Save" this notebook before running this command? Remember to save, always save.