Table of Contents
{{ table.name }}
Home Backend Development PHP Tutorial How to use Python to build the table generation function of a CMS system

How to use Python to build the table generation function of a CMS system

Aug 08, 2023 pm 10:57 PM
python cms system Table generation

How to use Python to build the table generation function of a CMS system

How to use Python to build the table generation function of the CMS system

With the rapid development of informatization and the digital transformation of enterprises, the importance of content management systems (CMS) increasingly prominent. CMS systems can help companies better manage and publish content, among which tables are a common way of displaying information. This article will introduce how to use Python to build the table generation function of a CMS system and provide corresponding code examples.

  1. Environment preparation
    Before you begin, please make sure you have installed Python and the corresponding development environment. We recommend using Python’s web framework Django to build the CMS system, and using Django’s models and views to generate and display tables.
  2. Database Design
    In a CMS system, it is usually necessary to design a data model to store the structure and data of the table. The following is the implementation of a sample data model:
from django.db import models

class Table(models.Model):
    name = models.CharField(max_length=100)
    columns = models.IntegerField()
    rows = models.IntegerField()
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)
Copy after login

In the above code, a file named Table is defined through Django’s model class models.Model The data model includes fields such as the name of the table, the number of columns, the number of rows, and the creation time and update time.

  1. Table generation
    Next, we need to implement the table generation function. First, in Django's view function or class, import the data model and query the database to obtain the tabular data that needs to be displayed. Then, according to the number of rows and columns of the table, the corresponding table elements are generated in a loop in the HTML template. The following is an example view function implementation:
from django.shortcuts import render
from .models import Table

def table_view(request):
    tables = Table.objects.all()
    return render(request, 'table.html', {'tables': tables})
Copy after login

In the above code, by introducing the objects attribute of the model Table, use all( ) method obtains all table data in the database and assigns it to the variable tables. Then, the HTML template table.html is returned through the render function, and a parameter named tables is passed.

  1. HTML template
    In the HTML template, we need to use the template syntax provided by Django, combined with the passed table data, to dynamically generate the corresponding table code. The following is an example HTML template implementation:
<!DOCTYPE html>
<html>
<head>
    <title>CMS系统表格展示</title>
</head>
<body>
    {% for table in tables %}
    <h2 id="table-name">{{ table.name }}</h2>
    <table>
        <thead>
            <tr>
                {% for i in range(table.columns) %}
                <th>列{{ i+1 }}</th>
                {% endfor %}
            </tr>
        </thead>
        <tbody>
            {% for j in range(table.rows) %}
            <tr>
                {% for k in range(table.columns) %}
                <td>行{{ j+1 }}, 列{{ k+1 }}</td>
                {% endfor %}
            </tr>
            {% endfor %}
        </tbody>
    </table>
    {% endfor %}
</body>
</html>
Copy after login

In the above code, by using the for loop of template syntax, the columns and rows in the table data are traversed respectively, and dynamically Generate corresponding table elements. Dynamic data can be inserted into HTML through variables wrapped in {{ }}.

  1. Test
    After completing the above steps, we can run the Django development server locally and view the generated table through the browser. First, enter the project root directory in the command line, and then execute the following command to start the development server:
python manage.py runserver
Copy after login

Then, enter http://localhost:8000/table## in the browser #You can view the display page of the table.

To sum up, this article introduces how to use Python to build the table generation function of the CMS system. Through Django's model and view functions, we can easily generate and display tables. I hope this article will help you build a CMS system!

Reference materials:

    Django official documentation: https://docs.djangoproject.com/
  • w3schools Django tutorial: https://www.w3schools. com/python/python_django.asp

The above is the detailed content of How to use Python to build the table generation function of a CMS system. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to solve the permissions problem encountered when viewing Python version in Linux terminal? How to solve the permissions problem encountered when viewing Python version in Linux terminal? Apr 01, 2025 pm 05:09 PM

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

Python hourglass graph drawing: How to avoid variable undefined errors? Python hourglass graph drawing: How to avoid variable undefined errors? Apr 01, 2025 pm 06:27 PM

Getting started with Python: Hourglass Graphic Drawing and Input Verification This article will solve the variable definition problem encountered by a Python novice in the hourglass Graphic Drawing Program. Code...

How to view the original functions encapsulated internally by Python functools.partial object? How to view the original functions encapsulated internally by Python functools.partial object? Apr 01, 2025 pm 04:15 PM

Deeply explore the viewing method of Python functools.partial object in functools.partial using Python...

Python Cross-platform Desktop Application Development: Which GUI Library is the best for you? Python Cross-platform Desktop Application Development: Which GUI Library is the best for you? Apr 01, 2025 pm 05:24 PM

Choice of Python Cross-platform desktop application development library Many Python developers want to develop desktop applications that can run on both Windows and Linux systems...

How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? Apr 01, 2025 pm 11:15 PM

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

Do Google and AWS provide public PyPI image sources? Do Google and AWS provide public PyPI image sources? Apr 01, 2025 pm 05:15 PM

Many developers rely on PyPI (PythonPackageIndex)...

How to efficiently count and sort large product data sets in Python? How to efficiently count and sort large product data sets in Python? Apr 01, 2025 pm 08:03 PM

Data Conversion and Statistics: Efficient Processing of Large Data Sets This article will introduce in detail how to convert a data list containing product information to another containing...

How to optimize processing of high-resolution images in Python to find precise white circular areas? How to optimize processing of high-resolution images in Python to find precise white circular areas? Apr 01, 2025 pm 06:12 PM

How to handle high resolution images in Python to find white areas? Processing a high-resolution picture of 9000x7000 pixels, how to accurately find two of the picture...

See all articles