Colab：Plotly 中的 Python 和 Sankey

Question

我有一些簡單的代碼來測試桑基圖。 在將最后一個“合並”流渲染到最后一個節點之前，它似乎停止了。 有什么幫助/建議嗎？

import plotly.graph_objs as go1

# one merged line - CORP01 bought CORP02
# second, occurring after first M&A - CORP04 buys CORP03
# third, occuring after second M&A - CORP04 buys CORP01

# data
source = [0,1,2,3,4,4,5,6,7,7,8,8]
target = [4,4,5,6,7,7,8,8,9,9,9,9]

# data to dict, dict to sankey
link = dict(source = source, target = target, value = value)

label = ["CORP01",   #source "0"
         "CORP02",   #source "1"
         "CORP03",   #source "2"
         "CORP04",   #source "3"
         "CORP01m",   #target "4" / source "4"
         "CORP03a",   #target "5" / source "5"
         "CORP04a",   #target "6"
         "CORP01m2",   #target "7" / source "7"
         "CORP04m",   #target "8" / source "8"
         "CORP04m2"]   #target "9"

node = dict(label = label, pad=20, thickness=10)
data = go1.Sankey(link = link, node=node)

# plot
fig = go1.Figure(data)
fig.show(renderer="colab")

該圖表一直有效，直到最后兩個流預計合並到最終的單個節點中。 有什么想法嗎？

Answer 1

根據 streetster 的信息 - 我忽略了添加一個列表來解決 Sankey 人物的value 。

通過添加value列表，圖表完美呈現。

# data
source = [0,1,2,3,4,4,5,6,7,7,8,8]
target = [4,4,5,6,7,7,8,8,9,9,9,9]
value  = [2,2,2,2,2,2,2,2,2,2,2,2]

# data to dict, dict to sankey
link = dict(source = source, target = target, value = value)

label = ["CORP01",   #source "0"
         "CORP02",   #source "1"
         "CORP03",   #source "2"
         "CORP04",   #source "3"
         "CORP01m",   #target "4" / source "4"
         "CORP03a",   #target "5" / source "5"
         "CORP04a",   #target "6"
         "CORP01m2",   #target "7" / source "7"
         "CORP04m",   #target "8" / source "8"
         "CORP04m2"]   #target "9"

node = dict(label = label, pad=20, thickness=10)
data = go1.Sankey(link = link, node=node)

# plot
fig = go1.Figure(data)
fig.show(renderer="colab")