python 如何使用 pandas 在 flask web 网页中分页显示 csv 文件数据

'''
Description: 分页读取并显示 csv 文件数据
'''
from math import ceil
import csv

from flask import Flask, render_template, request, redirect
from spiders.file_manager import FileManager

# 初始化框架
web = Flask(__name__)


@web.route('/')
def index():
    # 首页
    return redirect('/table/1')


@web.route('/table/<int:page_num>')
def table(page_num):
    # 分页读取并显示 csv 文件数据
    file_manager = FileManager()
    file = file_manager.get_data_file_path("tao365_detail.csv")

    # 若不指定limits默认为 5
    limits = request.args.get('limits', 5, type=int)

    def show_csv(reader, page=page_num, limits=limits):
        # 内部函数，根据limits和所在页数生成数据
        df = []
        for row in reader:
            if page_num * limits >= (reader.line_num - 1) > (page_num - 1) * limits:
                df.append(row)

        return df

    with open(file, 'r+', encoding='utf-8') as f:
        # 计算页面数
        row_length = len(f.readlines()) - 1
        pages = int(ceil(row_length / limits))

    with open(file, 'r+', encoding='utf-8') as f:
        # 计算数据
        reader = csv.reader(f)
        next(reader)
        df = show_csv(reader, page_num, limits)

    # 加载模版和模版数据
    return render_template('table.html', df=df, pages=pages, page_num=page_num, limits=limits)


@web.route('/table_detail')
def table_detail():
    # 二手房详情
    row = request.args.get('row').split(',')
    return render_template('table_detail.html', row=row)


# 启动 flask web 框架
web.run(debug=True)

<section id="team" class="header">
    <div class="container">
        <div class="section-title">
            <h2> pandas 在网页中分页显示 csv 文件</h2>
            <p>使用 Python、pandas、bootstrap、flask 框架等技术实现</p>
        </div>
        <!-- ======= 预览板块 ======= -->
        <section class="counts section-bg">
            <div class="container">

                <div class="row">
                    <div class="col">
                        <!-- ======= 使用表格循环展示数据 ======= -->
                        <table class="table table-striped table-hover" style="">
                            <tbody>
                                <tr>
                                    <th>标题</th>
                                    <th>价格</th>
                                    <th>每平方价格</th>
                                    <!-- <th>小区</th> -->
                                    <!-- <th>地址</th> -->
                                    <th>房屋户型</th>
                                    <th>建筑面积</th>
                                    <th>所在楼层</th>
                                    <th>房屋朝向</th>
                                    <th>建筑年代</th>
                                    <th>详情</th>
                                </tr>

                                {% for row in df %}
                                <!-- <li>{{row}}</li> -->
                                <tr class="alt">
                                    {% for subrow in row %} {% if loop.index != 5 and loop.index != 4 %}
                                    <td>{{subrow}}</td>
                                    {% endif %} {% endfor %}
                                    <td><a class="link-table" data-row="{{row}}" href="/table_detail">点击查看</a> </td>
                                </tr>
                                {% endfor %}

                            </tbody>
                        </table>
                    </div>
                </div>
                <div id="demo" style="display: flex;justify-content: center;"></div>
            </div>

        </section>
        <!-- End Counts Section -->
    </div>
</section>

$(document).ready(function() {
    $('.link-table').each(function() {
        var row = $(this).attr('data-row')

        var row1 = eval（'(' + row + ')').join(',')
        $(this).attr('href', '/table_detail?row=' + row1)
    })
    layui.use(['laypage', 'layer'], function() {
        var laypage = layui.laypage,
            layer = layui.layer;
        laypage.render({
            elem: 'demo',
            count: "{{pages}}",
            curr: "{{ page_num }}",
            theme: '#587187',
            // limit: pageSize //一页数据
            jump: function(obj, first) {
                console.log(obj.curr, first)
                if (!first) {
                    window.location.href = "/table/" + obj.curr; //跳转链接
                }
            }
        });
    });
})

<section id="team" class="header">
    <div class="container">
        <div class="section-title">
            <h2>pandas 在网页中分页显示 csv 文件 - 详情页数据示例</h2>
            <p>使用 Python、pandas、bootstrap、flask 框架等技术实现</p>
        </div>
        <!-- ======= 预览板块 ======= -->
        <section class="counts section-bg">
            <div class="container">

                <div class="detail__mainCotetnL fl">
                    <table class="table table-striped table-hover" style="">
                        <tbody>
                            <tr>
                                <td>标题</td>
                                <td colspan="3">{{row[0]}}</td>
                            </tr>
                            <tr>
                                <td>价格</td>
                                <td>{{row[1]}}</td>
                                <td>每平方价格</td>
                                <td>{{row[2]}}</td>
                            </tr>
                            <tr>
                                <td>房屋户型</td>
                                <td>{{row[5]}}</td>
                                <td>建筑面积</td>
                                <td>{{row[6]}}</td>
                            </tr>
                            <tr>
                                <td>所在楼层</td>
                                <td>{{row[7]}}</td>
                                <td>房屋朝向</td>
                                <td>{{row[8]}}</td>
                            </tr>
                            <tr>
                                <td>建筑年代</td>
                                <td>{{row[9]}}</td>
                                <td></td>
                                <td></td>
                            </tr>
                        </tbody>
                    </table>

                </div>
            </div>

        </section>
        <!-- End Counts Section -->
    </div>
</section>