Table of contents
Initialize the Flask framework and set up routing
Jinja template rendering list data
Show details page data example
1. Actual combat scenarios
How python uses pandas to display csv file data in pages in flask web pages
2. Knowledge points
python basic syntax
Python file read and write
python pagination
pandas data processing
flask web framework
jinja template
3. Rookie actual combat
Initialize the Flask framework and set up routing
'''
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)Jinja template rendering list data
<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>paging request data
$(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
}
}
});
});
})Show details page data example
<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>operation result
run screenshot
* Serving Flask app 'app_tao04'
* Debug mode: on
* Running on http://127.0.0.1:5000
Open http://127.0.0.1:5000 in the browser
List page data example
Details page data example
resource link
https://download.csdn.net/download/qq_39816613/87374650
Rookie actual combat, keep learning!