-
Notifications
You must be signed in to change notification settings - Fork 0
/
q10-sankey.py
39 lines (37 loc) · 1.21 KB
/
q10-sankey.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
# First ten highest gross exports of value added origin countries with DE. Displays result of q10-sankey.sparql
import plotly.graph_objects as go
fig = go.Figure(data=[go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(color = "green", width = 0.5),
label = ["WLD",
"G20",
"OECD",
"ZEUR",
"EU28",
"EU27_2020",
"EU15",
"EA19",
"DXD",
"APEC",
"DEU"],
color = "blue"
),
link = dict(
source = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], # indices correspond to labels, eg A1, A2, A2, B1, ...
target = [10, 10, 10, 10, 10, 10, 10, 10, 10, 10],
value = [1603701.755,
1545507.428,
1482903.463,
1448815.328,
1393099.256,
1383968.728,
1332220.215,
1319089.034,
1140611.476,
143534.598
],
))])
fig.update_layout(title_text="First ten highest gross exports of value added origin countries with DE", font_size=10)
fig.show()