The Data
What kind of data do we need
source = [0, 0, 1, 1, 0]
target = [2, 3, 4, 5, 4]
value = [8, 2, 2, 8, 4]Most basic Sankey diagram with Plotly
Once that we have the data, the first step is to load the library
import plotly.graph_objects as goNow let's use it to plot the Sanke
link = dict(source = source, target = target, value = value)
data = go.Sankey(link = link)
fig = go.Figure(data)
fig.show()Note that you can save this chart to a standalone file thanks to the write.html() function. It is then possible to render it in any html document using an iframe
# If you need to save this file as a standalong html file:
fig.write_html("../../static/interactiveCharts/sankey-diagram-plotly1.html")%%html
<iframe src="../../interactiveCharts/sankey-diagram-plotly1.html" width="800" height="600" title="ridgeline chart with plotly" style="border:none"></iframe>Basic customization
This section needs to be edited. Sorry for the inconvenience 😔
Real life Sankey diagram
This is the example coming from the plotly documentation, in order to see how plotly behaves with a real life dataset!
import plotly.graph_objects as go
import urllib, json
url = 'https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy.json'
response = urllib.request.urlopen(url)
data = json.loads(response.read())
# override gray link colors with 'source' colors
opacity = 0.4
# change 'magenta' to its 'rgba' value to add opacity
data['data'][0]['node']['color'] = ['rgba(255,0,255, 0.8)' if color == "magenta" else color for color in data['data'][0]['node']['color']]
data['data'][0]['link']['color'] = [data['data'][0]['node']['color'][src].replace("0.8", str(opacity))
for src in data['data'][0]['link']['source']]
fig = go.Figure(data=[go.Sankey(
valueformat = ".0f",
valuesuffix = "TWh",
# Define nodes
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']
),
# Add links
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'],
color = data['data'][0]['link']['color']
))])
fig.update_layout(title_text="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_size=10)Save the figure in html format
# If you need to save this file as a standalong html file:
fig.write_html("../../static/interactiveCharts/sankey-diagram-plotly-real.html")Render it as an iframe
%%html
<iframe src="../../interactiveCharts/sankey-diagram-plotly-real.html" width="800" height="900" title="ridgeline chart with plotly" style="border:none"></iframe>
