I've build a Sankey diagram using plotly. I want to name the columns giving each one a column title, like the text in red below:
How can I write these column titles?
I've build a Sankey diagram using plotly. I want to name the columns giving each one a column title, like the text in red below:
How can I write these column titles?
You can use annotations to add text, using x-values of 0, 1, 2
with the xref
set to "x"
, and using y-values of 1.05
with the yref
set to "paper"
as in paper coordinates. This will ensure the annotations are above the plot.
import plotly.graph_objects as go
fig = go.Figure(data=[go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(color = "black", width = 0.5),
label = ["A1", "A2", "B1", "B2", "C1", "C2"],
color = "blue"
),
link = dict(
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={
}
for x_coordinate, column_name in enumerate(["column 1","column 2","column 3"]):
fig.add_annotation(
x=x_coordinate,
y=1.05,
xref="x",
yref="paper",
text=column_name,
showarrow=False,
font=dict(
family="Courier New, monospace",
size=16,
color="tomato"
),
align="center",
)
fig.update_layout(
title_text="Basic Sankey Diagram",
xaxis={
'showgrid': False, # thin lines in the background
'zeroline': False, # thick line at x=0
'visible': False, # numbers below
},
yaxis={
'showgrid': False, # thin lines in the background
'zeroline': False, # thick line at x=0
'visible': False, # numbers below
}, plot_bgcolor='rgba(0,0,0,0)', font_size=10)
fig.show()
layout={ 'xaxis': { 'showgrid': False, # thin lines in the background 'zeroline': False, # thick line at x=0 'visible': False, # numbers below }, 'yaxis': { 'showgrid': False, # thin lines in the background 'zeroline': False, # thick line at x=0 'visible': False, # numbers below }, 'plot_bgcolor':'rgba(0,0,0,0)', }
–
Urbano It seems like you might actually prefer a parcats diagram instead of a sankey diagram. But if you really want to do this with sankey, a slight modification of Derek O's answer avoids generating the axes you then need to hide. Just use xref="paper"
and distribute the x
values in the range 0 to 1:
import plotly.graph_objects as go
fig = go.Figure(data=[go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(color = "black", width = 0.5),
label = ["A1", "A2", "B1", "B2", "C1", "C2"],
color = "blue"
),
link = dict(
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]
))])
cols = ["column 1","column 2","column 3"]
for x_coordinate, column_name in enumerate(cols):
fig.add_annotation(
x=x_coordinate / (len(cols) - 1),
y=1.05,
xref="paper",
yref="paper",
text=column_name,
showarrow=False,
font=dict(
family="Courier New, monospace",
size=16,
color="tomato"
),
align="center",
)
fig.show()
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