我正在嘗試并排放置兩個堆疊的條形圖，但無法弄清楚。這是一個示例 df：Field IssuePolice Budget cutsResearch Budget cutsPolice Time consumingBanking Lack of oversightHealthcare Lack of supportResearch BureaucracyHealthcare BureaucracyBanking Mistrust我想要的是第一個字段的堆積條形圖。它的高度為 8，由 2 個警察、2 個研究等細(xì)分。然后我想要第一個圖表旁邊的問題堆積條形圖。第二個將有 8 的高度，并被 2 次預(yù)算削減、1 次耗時、1 次缺乏監(jiān)督等堆疊在一起。我試過了：獲取所有字段的堆積條形圖：trace1 = go.Bar( x = df.Field.unique(), y = df.Field.value_counts(), name='Total Amount of roles')獲得預(yù)算削減的堆積條形圖（然后復(fù)制其他問題）：trace2 = go.Bar( x = df.Field.unique(), y = df[df['Issue'] == 'Budget cuts'].Field.value_counts(), name='Budget cuts')data = [trace1, trace2]layout = go.Layout(barmode='stack')fig = go.Figure(data=data, layout=layout)py.plot(fig, filename='test.html')但是上面的代碼將兩個圖疊加到一個上。我想要堆疊跟蹤 1 和堆疊跟蹤 2。我也希望將其集成到 Dash 中，而不是單獨(dú)策劃，但老實(shí)說，這將是次要的。將不勝感激任何幫助！
2 回答
有只小跳蛙
TA貢獻(xiàn)1824條經(jīng)驗(yàn) 獲得超8個贊
編輯 - 在評論中進(jìn)行簡短對話后，這是我的最新建議：
這是一個可能的解決方案，其中包含每列堆疊的每個類別的每個出現(xiàn)次數(shù)（字段或問題）：
陰謀：
代碼：
如您所見，它不是很靈活，因?yàn)槟仨歡o.Bar為每個類別（銀行、警察等）添加一個對象。但如果上面的情節(jié)是你要找的，我也會整理出那部分。
# import
import pandas as pd
import numpy as np
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
#%qtconsole
# sample data
Field = ['Police', 'Research', 'Police', 'Banking', 'Healthcare', 'Research', 'Healthcare', 'Banking']
Issue = ['Budget cuts', 'Budget cuts', 'Time consuming', 'Lack of oversight', 'Lack of support', 'Bureaucracy', 'Bureaucracy', 'Mistrust']
# Put the lists in a pandas dataframe for
# easy grouping and indexing
df = pd.DataFrame([Field, Issue]).T
df.columns = ['Field', 'Issue']
grField = df.groupby('Field').count()
grIssue = df.groupby('Issue').count()
dfgr = pd.concat([grField, grIssue], axis = 1, sort = False)
dfgr = dfgr.T
# Make one go.Bar() object for each category
# for corresponing Field / Issue
trace1 = go.Bar(
x = ['Issue'],
#y = [dfgr['Field']],
y = [dfgr['Banking'].loc['Issue']],
name='Banking')
trace2 = go.Bar(
x = ['Issue'],
#y = [dfgr['Field']],
y = [dfgr['Healthcare'].loc['Issue']],
name='Healthcare')
trace3 = go.Bar(
x = ['Issue'],
#y = [dfgr['Field']],
y = [dfgr['Police'].loc['Issue']],
name='Police')
trace4 = go.Bar(
x = ['Issue'],
#y = [dfgr['Field']],
y = [dfgr['Research'].loc['Issue']],
name='Research')
trace5 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Budget cuts'].loc['Field']],
name='Budget cuts')
trace6 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Bureaucracy'].loc['Field']],
name='Bureaucracy')
trace7 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Lack of oversight'].loc['Field']],
name='Lack of oversight')
trace7 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Lack of oversight'].loc['Field']],
name='Lack of oversight')
trace8 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Lack of support'].loc['Field']],
name='Lack of support')
trace9 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Mistrust'].loc['Field']],
name='Mistrust')
trace10 = go.Bar(
x = ['Field'],
#y = [dfgr['Field']],
y = [dfgr['Time consuming'].loc['Field']],
name='Time consuming')
# gather data and set up layout
#data = [trace1, trace2, trace3, trace4, trace5, trace6, trace7, trace8, trace9, trace10]
data = [trace10, trace9, trace8, trace7, trace6, trace5, trace4, trace3, trace2, trace1]
layout = go.Layout(barmode='stack', title = 'Stacked bar chart from single column')
# Build figure
fig = go.Figure(data=data, layout=layout)
# PLot figure
iplot(fig, filename='test.html')
收到一只叮咚
TA貢獻(xiàn)1821條經(jīng)驗(yàn) 獲得超5個贊
工作代碼片段，以防萬一這是您需要的：
import plotly.graph_objects as go
x=['a','b','c','d']
fig = go.Figure(go.Bar(x =x, y=[2,5,1,9], name='Montreal',
base = 0, width = 0.2, offset = 0.0,
marker = dict(color = 'rgb(0,120,255)')))
fig.add_trace(go.Bar(x=x, y=[1, 4, 9, 16], name='Ottawa',
width = 0.2, offset = -0.2,
marker = dict(color = 'rgb(250,60,0)')))
fig.add_trace(go.Bar(x=x, y=[6, 8, 4.5, 8], name='Toronto',
width = 0.2, offset = -0.2,
marker = dict(color = 'rgb(250,130,0)')))
fig.update_layout(barmode='stack', xaxis={'categoryorder':'array', 'categoryarray':['d','a','c','b']})
fig.show()
替代布局： change: base,offset of second figure
import plotly.graph_objects as go
x=['a','b','c','d']
fig = go.Figure(go.Bar(x =x, y=[2,5,1,9], name='Montreal',
base = 0, width = 0.2, offset = 0.0,
marker = dict(color = 'rgb(0,120,255)')))
fig.add_trace(go.Bar(x=x, y=[1, 4, 9, 16], name='Ottawa',
width = 0.2, offset = -0.4, base=0,
marker = dict(color = 'rgb(250,60,0)')))
fig.add_trace(go.Bar(x=x, y=[6, 8, 4.5, 8], name='Toronto',
width = 0.2, offset = -0.2,
marker = dict(color = 'rgb(250,130,0)')))
fig.update_layout(barmode='stack', xaxis={'categoryorder':'array', 'categoryarray':['d','a','c','b']})
fig.show()
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