


How to use Python to build the chart display function of CMS system
How to use Python to build the chart display function of the CMS system
With the development of the Internet, the Content Management System (CMS for short) system has become the infrastructure of many websites and applications. With the explosive growth of data, chart display function has gradually become an important requirement. This article will introduce how to use Python to build a CMS system and add chart display functions.
First, we need to choose a Python CMS framework. Django is a very popular choice with its powerful features and rich community support. To install Django, just use the pip command:
pip install django
After the installation is complete, we can start creating a new Django project. Open a command line terminal, change to a suitable directory, and run the following command:
django-admin startproject mycms
This will create a Django project named mycms. Next, we need to create a new application that will handle the functionality and pages of our CMS system. Run the following command:
cd mycms python manage.py startapp charts
This will create an application called charts in our project.
In our application, we will add a model called chart to store the chart's data. In the charts/models.py file, add the following code:
from django.db import models class Chart(models.Model): name = models.CharField(max_length=100) data = models.TextField() created_at = models.DateTimeField(auto_now_add=True) def __str__(self): return self.name
Here we define a name, data and creation time for the chart. Next, we need to run the following command to migrate the database to update the model:
python manage.py makemigrations python manage.py migrate
Now, we can create and manage the chart’s data in the CMS system. Open the charts/admin.py file and add the following code:
from django.contrib import admin from .models import Chart admin.site.register(Chart)
This will add a chart model to Django's admin backend, allowing us to easily create and edit data.
Next, we need to create a view function to render the chart page. In the charts/views.py file, add the following code:
from django.shortcuts import render from .models import Chart def chart_view(request): charts = Chart.objects.all() return render(request, 'chart.html', {'charts': charts})
Here we get all the chart objects from the database and pass them to a template called chart.html. Next, create a template file named chart.html and add the following code:
{% for chart in charts %} <div> <h3>{{ chart.name }}</h3> <p>{{ chart.data }}</p> <p>{{ chart.created_at }}</p> </div> <hr> {% empty %} <p>No charts available.</p> {% endfor %}
Here we display the name, data and creation time of each chart on the page by using Django's template engine . If no charts are available, the message "No charts available." will be displayed.
Now, we have completed the chart display function in the CMS system. We can further extend this functionality by introducing a charting library (such as Chart.js or Plotly) to draw charts.
The above is a brief introduction to the chart display function of building a CMS system using Python. By using the Django framework, creating models, managing background and view functions, we can easily create and display chart data. I hope this article can inspire you and help you build a more powerful and rich CMS system.
The above is the detailed content of How to use Python to build the chart display function of CMS system. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
