Python을 사용하여 CMS 시스템의 사용자 설문 조사 기능을 구현하는 방법

from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, RadioField

class SurveyForm(FlaskForm):
    name = StringField('姓名')
    gender = RadioField('性别', choices=[('男', '男'), ('女', '女')])
    feedback = StringField('反馈')
    submit = SubmitField('提交')

from flask import render_template

@app.route('/survey', methods=['GET', 'POST'])
def survey():
    form = SurveyForm()
    if form.validate_on_submit():
        # 处理用户提交的问卷数据
        return '谢谢参与！'
    return render_template('survey.html', form=form)

from flask_sqlalchemy import SQLAlchemy

app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://username:password@localhost/mydatabase'
db = SQLAlchemy(app)

class Feedback(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(50))
    gender = db.Column(db.String(10))
    feedback = db.Column(db.String(100))

    def save(self):
        db.session.add(self)
        db.session.commit()

@app.route('/survey', methods=['GET', 'POST'])
def survey():
    # ...
    if form.validate_on_submit():
        feedback = Feedback(name=form.name.data, gender=form.gender.data, feedback=form.feedback.data)
        feedback.save()
        return '谢谢参与！'
    # ...

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# 从数据库中读取反馈数据
feedbacks = Feedback.query.all()

# 将反馈数据转换为DataFrame
df = pd.DataFrame([(f.name, f.gender, f.feedback) for f in feedbacks], columns=['姓名', '性别', '反馈'])

# 统计性别比例
gender_counts = df['性别'].value_counts()
plt.pie(gender_counts, labels=gender_counts.index, autopct='%1.1f%%')
plt.title('参与用户性别比例')
plt.show()

# 分析反馈内容
word_counts = df['反馈'].str.lower().str.split().explode().value_counts().head(10)
sns.barplot(x=word_counts.index, y=word_counts.values)
plt.title('反馈内容常用词统计')
plt.show()