如何使用 plotly 将 pandas Dataframe 绘制为饼图

Question

我能够使用 pandas 找到计数和百分比。但是当我尝试 plaot 时，我只看到一个空的 HTML 页面。请协助将以下数据框绘制为饼图。

Python 代码

import pandas as pd
import plotly.graph_objects as go
import plotly.offline as py
df = pd.read_excel('data/master.xlsx')

#Commercials ISTQB foundation data
df_commercials=df[(df['Domain']=='Commercials')]
ds=df_commercials['ISTQB Foundation']
count = ds.value_counts()
print(count)
print()
print("=================================================")
percent = ds.value_counts(normalize=True)

istqbF_series = round((percent*100),2).astype(str)+'%'
istqbF_df = pd.DataFrame({'ISTQB Foundation':istqbF_series.index,'percentage':istqbF_series.values})

print(istqbF_df)
print()
labels = istqbF_df['ISTQB Foundation']
values = istqbF_df['percentage']


# trace = go.Pie(labels=labels, values=values)
# fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
#
#
# py.plot(fig, filename='ISTQB_Foundation_pie_chart.html')

输出：

我想以饼图的形式绘制输出，其中 (ISTQB Foundation vs percent) 悬停在要显示的计数上。

我尝试在网上搜索了几天，但最终无法找到指导我的教程。非常感谢任何帮助

Answer 1

在这里您可能会遇到错误，因为您的两个列都是分类（字符串）。尝试如下

import plotly.offline as py
from plotly.graph_objs import Pie, Layout,Figure

percent = ds.value_counts(normalize=True).mul(100).round(2)


_layout = Layout(title='ISTQB_Foundation')
_data = Pie(labels=percent.index.tolist(),values=percent.values.tolist(),hoverinfo='label+percent')
fig = Figure(data=[_data], layout=_layout)

# save html file to local
py.plot(fig,filename='ISTQB_Foundation_pie_chart.html')

Answer 2

from flask import Flask, flash, request, redirect, url_for
from werkzeug.utils import secure_filename

UPLOAD_FOLDER = '/path/to/the/uploads'
ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif'}

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER