Sankey Diagram in Julia
How to make Sankey Diagrams in Julia with Plotly.
A Sankey diagram is a flow diagram, in which the width of arrows is proportional to the flow quantity.
Basic Sankey Diagram
Sankey diagrams visualize the contributions to a flow by defining source to represent the source node, target for the target node, value to set the flow volume, and label that shows the node name.
using PlotlyJS
plot(sankey(
node = attr(
pad = 15,
thickness = 20,
line = attr(color = "black", width = 0.5),
label = ["A1", "A2", "B1", "B2", "C1", "C2"],
color = "blue"
),
link = attr(
source = [0, 1, 0, 2, 3, 3], # indices correspond to labels, eg A1, A2, A1, B1, ...
target = [2, 3, 3, 4, 4, 5],
value = [8, 4, 2, 8, 4, 2]
)),
Layout(title_text="Basic Sankey Diagram", font_size=10)
)
More complex Sankey diagram with colored links
using PlotlyJS, JSON, HTTP
response=HTTP.get("https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy.json")
data=JSON.parse(String(response.body))
# override gray link colors with "source" colors
opacity=0.4
# change "magenta" to its "rgba" value to add opacity
data["data"][1]["node"]["color"] = [
color == "magenta" ? "rgba(255,0,255, 0.8)" : color
for color in data["data"][1]["node"]["color"]
]
plot(sankey(
valueformat = ".0f",
valuesuffix = "TWh",
# Define nodes
node = attr(
pad = 15,
thickness = 15,
line = attr(color = "black", width = 0.5),
label = data["data"][1]["node"]["label"],
color = data["data"][1]["node"]["color"]
),
# Add links
link = attr(
source = data["data"][1]["link"]["source"],
target = data["data"][1]["link"]["target"],
value = data["data"][1]["link"]["value"],
label = data["data"][1]["link"]["label"],
color = data["data"][1]["link"]["color"]
)))
Style Sankey Diagram
This example also uses hovermode to enable multiple tooltips.
using PlotlyJS, JSON, HTTP
response=HTTP.get("https://raw.githubusercontent.com/plotly/plotly.js/master/test/image/mocks/sankey_energy.json")
data=JSON.parse(String(response.body))
plot(
sankey(
valueformat = ".0f",
valuesuffix = "TWh",
node = attr(
pad = 15,
thickness = 15,
line = attr(color = "black", width = 0.5),
label = data["data"][1]["node"]["label"],
color = data["data"][1]["node"]["color"]
),
link = attr(
source = data["data"][1]["link"]["source"],
target = data["data"][1]["link"]["target"],
value = data["data"][1]["link"]["value"],
label = data["data"][1]["link"]["label"]
)
),
Layout(
hovermode = "x",
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=attr(size = 10, color = "white"),
plot_bgcolor="black",
paper_bgcolor="black"
)
)
Hovertemplate and customdata of Sankey diagrams
Links and nodes have their own hovertemplate, in which link- or node-specific attributes can be displayed. To add more data to links and nodes, it is possible to use the customdata
attribute of link
and nodes
, as in the following example. For more information about hovertemplate and customdata, please see the [tutorial on hover text].
using PlotlyJS
plot(sankey(
node = attr(
pad = 15,
thickness = 20,
line = attr(color = "black", width = 0.5),
label = ["A1", "A2", "B1", "B2", "C1", "C2"],
customdata = ["Long name A1", "Long name A2", "Long name B1", "Long name B2",
"Long name C1", "Long name C2"],
hovertemplate="Node %{customdata} has total value %{value}<extra></extra>",
color = "blue"
),
link = attr(
source = [0, 1, 0, 2, 3, 3], # indices correspond to labels, eg A1, A2, A2, B1, ...
target = [2, 3, 3, 4, 4, 5],
value = [8, 4, 2, 8, 4, 2],
customdata = ["q","r","s","t","u","v"],
hovertemplate=string("Link from node %{source.customdata}<br />",
"to node%{target.customdata}<br />has value %{value}",
"<br />and data %{customdata}<extra></extra>"),
)), Layout(title_text="Basic Sankey Diagram", font_size=10))
Define Node Position
The following example sets node.x and node.y
to place nodes in the specified locations, except in the snap arrangement
(default behaviour when node.x
and node.y
are not defined) to avoid overlapping of the nodes, therefore, an automatic snapping of elements will be set to define the padding between nodes via nodepad. The other possible arrangements are:<font color='blue'> 1)</font> perpendicular <font color='blue'>2)</font> freeform <font color='blue'>3)</font> fixed
using PlotlyJS
plot(sankey(
arrangement = "snap",
node = attr(
label= ["A", "B", "C", "D", "E", "F"],
x= [0.2, 0.1, 0.5, 0.7, 0.3, 0.5],
y= [0.7, 0.5, 0.2, 0.4, 0.2, 0.3],
pad=10, # 10 Pixels
),
link = attr(
source= [0, 0, 1, 2, 5, 4, 3, 5],
target= [5, 3, 4, 3, 0, 2, 2, 3],
value= [1, 2, 1, 1, 1, 1, 1, 2]
)
))
Reference
See https://plotly.com/julia/reference/sankey for more information and options!