Python Plotly Dash：希望从单个df列中并排显示两个堆叠条形图

我试图得到两个堆叠的条形图并排，但无法找出它

下面是一个示例：

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

我想要的是一个堆叠的条形图领域第一。它将有一个由2名警察，2 x研究等分解的高度为8。然后我想在第一个图表旁边有一个问题的堆积条形图。这第二个将有8个高度，并由2倍的预算削减，1倍的时间消耗，1倍缺乏监督等叠加

我试过：

要获取所有字段的堆叠条形图，请执行以下操作：

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

要获得预算削减的堆叠条形图（然后复制其他问题）：

---

但是上面的代码将两个图叠加到一个图上。我要堆叠跟踪1和跟踪2。我也希望将其整合到Dash中，而不是单独的，但老实说，这是次要的。非常感谢您的帮助

编辑-在评论中打了一个简短的电话后，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）中每个类别的每个文档的计数：

绘图：

代码：

正如您所见，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。但是如果上面的情节是你要找的，我也会把那部分整理出来

# 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')

---

工作代码片段，如果您需要：

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：

更改：第二个图形的基准偏移量

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()

---

通过

pyo.plot（图，filename='test.html'）

您一定是指

py.plot（图，filename='test.html'）

？这当然取决于你的进口产品是什么样子的，但我还是改变了它。嗨，维斯特兰，谢谢你的代码。这张图就是我现在看到的，我就是这样做的。我要找的基本上是一个堆叠条形图，显示有2个警察、2个研究等，高度为8（因为有8个字段），第二个堆叠条形图显示的问题高度为8（按2的高度堆叠用于预算削减，一个用于耗时等）。一个堆叠图表用于显示字段数的明细，另一个堆叠图表用于显示问题数的明细。这有意义吗？Thanks@user8322222那么，两个酒吧？在这种情况下，这里的挑战是数据转换，而不是绘图本身，这才是挑战。我来看看。是的，一共两条。谢谢维斯特兰，没问题，但我们还没到。明天我再看一看。@user8322222很乐意帮忙！如果我的回答回答了你的问题，请考虑把它标记为被接受的答案。别担心，我会找时间让它更灵活，因为这对我来说也很有趣。任何其他细节都可以在已建立的聊天室中讨论。

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()