Plotly-Dash：想要从单个df列并排放置两个堆积的条形图

Question

我试图并排获得两个堆积的条形图，但无法弄明白。

这是df的一个例子：

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

我想要的是第一个字段的堆积条形图。它的高度为8，由2个警察，2个研究等分解。然后我想在第一个图表旁边显示一个堆积的条形图。第二个高度为8，预算削减2次，1次耗时，1次缺乏监督等。

我试过了：

获取所有字段的堆积条形图：

trace1 = go.Bar(
    x = df.Field.unique(),
    y = df.Field.value_counts(),
    name='Total Amount of roles'
)

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堆叠成一个。我想要跟踪1堆叠和跟踪2堆叠。我也希望将它整合到Dash中而不是在它自己的情节上，但这是次要的，说实话。非常感谢任何帮助！

Answer 1

编辑 - 在评论中进行简短对话后，这是我最新的建议：

---

这是一个可能的解决方案，每列堆叠的每个类别的每个出现次数（字段或问题）：

情节：

码：

你可以看到它不是很灵活，因为你必须为每个类别（银行，警察等）添加一个go.Bar对象。但如果上面的情节是你正在寻找的，我也会理清那部分。

# 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')