如何在python中使用plotly和make_subplot绘制不同类型的图表

如何解决如何在python中使用plotly和make_subplot绘制不同类型的图表

我要绘制饼图和条形图的混合子图，怎么做？

直到现在我仍可以绘制饼图，但如何添加条形图？

下面的代码执行 groupby 函数并遍历返回的对象，以便基于groupby对象的唯一值对多个饼图进行子图绘制。

数据帧：

   event_type      date        event_mohafaza  number_person   groups
0   watch movie   2020-08-14             loc1          25       group1
1   stay at home  2020-08-14             loc3          32       group1
2   watch movie   2020-08-14             loc2          45       group2
3   swimming      2020-08-14             loc4          12       group1
4   stay at home  2020-08-14             loc2          45       group3
5   watch movie   2019-06-14             loc5          22       group1
6   watch movie   2020-08-14             loc2          10       group4
7   watch movie   2020-08-14             loc1          44       group1
8   stay at home  2020-08-14             loc3          22       group3
9   swimming      2020-08-14             loc2          32       group2
10  watch movie   2019-09-14             loc1          17       group1
11  camping       2020-08-14             loc4          27       group1
12  watch movie   2020-08-14             loc5          43       group3
13  meeting       2019-06-14             loc2          33       group2
14  camping       2020-08-14             loc1          21       group4

代码：

import plotly.graph_objs as go
from plotly.subplots import make_subplots

# data for this example
import plotly.express as px


lst = list(df.groupby('event_mohafaza  '))


# here we want our grid to be 2 x 3
rows = 2
cols = 3
# continents are the first element in l
subplot_titles = [l[0] for l in lst]

# a compact and general version of what you did
specs = [[{'type':'domain'}]* cols] * rows

fig = make_subplots(
        rows=rows,cols=cols,subplot_titles=subplot_titles,specs=specs,print_grid=True)


for i,l in enumerate(lst):
    # basic math to get col and row
    row = i // cols + 1
    col = i % (rows + 1) + 1
    # this is the dataframe for every continent
    d = l[1]
   
        fig.add_trace(
        go.Pie(labels=d["event_type"],values = d["number_person"],hovertemplate = "%{label}: <br>Value: %{value} ",showlegend=True,textposition='inside',rotation=90
              ),row=row,col=col
        
    
    )
#     fig.add_trace(go.Bar(y=df.event_type,opacity=0.3),1,1)
    
fig.update_layout(title="Population by Continent",title_x=0.5)
fig.show()

 

解决方法

我们在理解要添加第六个条形图的情况下修改了代码。目前尚不清楚您要添加哪种条形图，因此我根据需要进行了设置。关键是您需要指定一个与子图结构匹配的图。

import plotly.graph_objs as go
from plotly.subplots import make_subplots

# data for this example
import plotly.express as px

lst = list(df.groupby('event_mohafaza'))

# here we want our grid to be 2 x 3
rows = 2
cols = 3
# continents are the first element in l
subplot_titles = [l[0] for l in lst]

# a compact and general version of what you did
# specs = [[{'type':'domain'}]* cols] * rows
specs = [[{"type": "pie"},{"type": "pie"},{"type": "pie"}],[{"type": "pie"},{"type": "bar"}]]
fig = make_subplots(
        rows=rows,cols=cols,subplot_titles=subplot_titles,specs=specs,print_grid=True)

for i,l in enumerate(lst):
    # basic math to get col and row
    row = i // cols + 1
    col = i % (rows + 1) + 1
    # this is the dataframe for every continent
    d = l[1]
   
    fig.add_trace(go.Pie(labels=d["event_type"],values = d["number_person"],hovertemplate = "%{label}: <br>Value: %{value} ",showlegend=True,textposition='inside',rotation=90),row=row,col=col    
    )
fig.add_trace(go.Bar(x=df.groups,y=df.number_person,opacity=0.3,showlegend=False),row=2,col=3)
    
fig.update_layout(title="Population by Continent",title_x=0.5)
fig.show()