"Plotly-Dash: 从单一数据框列生成并排的两个堆叠柱状图"

Question

我试着把两个堆积的条形图并排放在一起，但搞不清楚。在

以下是df示例：

Field       Issue

Police      Budget cuts
Research    Budget cuts
Police      Time consuming
Banking     Lack of oversight
Healthcare  Lack of support
Research    Bureaucracy
Healthcare  Bureaucracy
Banking     Mistrust

我要的是场的堆积条形图。它将有一个高度8分解由2个警察，2 x研究等。然后我想要一个堆积条形图的问题旁边的第一个图表。第二个高度为8，由2倍的预算削减、1倍的耗时、1倍的缺乏监督等因素叠加而成

我试过：

要获取所有字段的堆积条形图：

^{pr2}$

要获得预算削减的堆积条形图（然后复制其他问题）：

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')

但是上面的代码将两个图叠加到一个图上。我要一号道叠加，二号道叠加。我也希望这个集成到仪表板，而不是在它自己的阴谋，但这将是次要的诚实。谢谢你的帮助！在

Answer 1

工作代码片段，以防您需要：

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()

另一种布局： change: base,offset of second figure

^{pr2}$

Answer 2

编辑-在评论中简短地拨号之后，这是我的最新建议：

---

下面是一个可能的解决方案，其中每列（字段或问题）堆叠的每个类别的每个文档的计数：

绘图：

代码：

如您所见，它不是很灵活，因为您必须为每个类别（银行、警察等）添加一个go.Bar对象。但如果上面的情节是你要找的，我也会把那部分整理出来。在

# 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')