Python, Angular, and Highcharts

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In this article, we will create a bar chart to visualize the department table of student count.
We will show you how to integrate Django, a high-level Python Web framework,
Sqlite(DataBase) with Angular Framework to populate the data using the official Highcharts Angular wrapper.

Let’s get started.

There are three main parts to create this project. The first part is to set up a Python environment with Python Web framework and Sqlite(DataBase). The second part is to make the app. The third part is to create an Angular project with Highcharts by using the official Highcharts Angular wrapper.

Set up a Python environment

There are 6 steps in the first part:
1. Install python.

2. Create the local environment for project D:\Django-Angular-Highcharts>python -m venv myenv
The result is the myenv folder
The result is the myenv folder

3. Activate the local python environment. Before installing or using packages in the virtual environment, activating the local python environment is necessary. Activating a virtual setting will put the virtual environment-specific python and pip executables into your shell’s PATH D:\Django-Angular-Highcharts>myenv\Scripts\activate

4. Install django with command (myenv) D:\Django-Angular-Highcharts>pip install django

5. Install the django rest framework. (myenv) D:\Django-Angular-Highcharts>pip install djangorestframework

6. Create the project(DjangoProject) (myenv) D:\Django-Angular-Highcharts>django-admin startproject DjangoAPI
Here is a picture of the folder structure created by django-admin:
The folder structure created by django-admin

You can find below a short description of each folder:

  • A command-line utility that lets you interact with this Django project in various ways. It allows us to create applications, work with databases, and start the development web server.
  • An empty file that tells Python that this directory should be considered a Python package.
  • Settings/configuration for this Django project. Django settings will tell you all about how settings work. We can use for registering any created applications, the static files’ location, database configuration details, etc.
  • This could contain your application urls mapping , defining url mapping of your application.
  • An entry-point for ASGI-compatible web servers to serve your project.
  • An entry-point for WSGI-compatible web servers to serve your project(Is used to help Django application communicates with the webserver)

7. Now, it is time to check if the project was created successfully. To do that just run (myenv) D:\Django-Angular-HighCharts\DjangoAPI>python runserver.
Then, check the result using this link on a browser. Here is the result in the folder db.sqlite3 following the execution of the previous command:
The folder db.sqlite

8. The last step in this section is to set up a database. Just download the sqlite, then Open SQLiteStudio and add the db.sqlite database
db.sqlite database

sqlite database is the default database, which comes by default in; however, feel free to use any other databases

    'default': {
        'ENGINE': 'django.db.backends.sqlite3',
        'NAME': BASE_DIR / 'db.sqlite3',

Let’s create the application

1. First, let’s install CORS by running the pip install django-cors-headers command to allow the communication between Angular and Django, django-cors-headers and django rest framework need to be registered in, which is inside DjangoApi project.


Don’t forget to add corsheaders.middleware.CorsMiddleware in the middleware array and CORS_ORIGIN_ALLOW_ALL=True in the same file i.e


2. Let’s create our app inside DjangoAPI project (myenv) D:\Django-Angular\DjangoAPI>python startapp Department
Then register the Department.apps.DepartmentConfig, into the DjangoApi project’s file


3. Now, let’s create a model for the application in file of the application

from django.db import models
 class Departments(models.Model):

4. Create the migrations for your app(Department) (myenv) D:\Django-Angular\DjangoAPI>python makemigrations Department
The result is an file inside the migrations folder to track will go into the database.
result of the migrations for your app

The same command will generate a database with the name ”db” with no tables.

5. Commit those changes to the database (myenv) D:\Django-Angular\DjangoAPI>python migrate Department
You will see two tables, one for the migrations and the one for our app.

6. Create to serialize the python data model to any data type. We imported serializers from rest_framework and Departments from Department.model

from rest_framework import serializers
from Department.models import Departments
class DepartmentSerializer(serializers.ModelSerializer):
    class Meta:

7. Create the views for the application in The data is serialized and converted into JSON format.

from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from rest_framework.parsers import JSONParser
from django.http.response import JsonResponse 
from Department.models import Departments
from Department.serializers import DepartmentSerializer
# Create your views here.
def departmentApi(request,id=0):
    if request.method=='GET':
        return JsonResponse(,safe=False)

8. Let’s create the file; this file is in charge of mapping the project’s routes and paths. In this case, the purpose of the is to fetch the data department

from django.conf.urls import url
from Department import views
from django.conf.urls.static import static
from django.conf import settings

9. To configure any URL, it is necessary to register the of app(Department) into the main project(DjangoAPI). Keep in mind that DjangoAPI is a project, and Department is the application.

from django.contrib import admin
from django.urls import path
from django.conf.urls import url,include
urlpatterns = [

Set up an Angular project with Highcharts

1. To set up an Angular project, follow angular instructions Setting up the local environment and workspace. To visualize the data, include the official Highcharts Angular wrapper Highcharts Angular wrapper, then import the Highcharts module:

  1. To install highcharts-angular and the Highcharts library, just run the following instruction: npm install highcharts-angular --save
  2. To import the package go to app.module.ts file and import the module HighchartsChartModule from the highcharts-angular package.
  3. To build Highcharts charts, install Highcharts: npm install highcharts --save

Next, in the app.component.ts, in top lines where other imports are, add another one for Highcharts:import * as Highcharts from 'highcharts';

The Django development server is running on (check the code on Github)

2. The last step is to initialize the chart data and options by adding the highcharts-chart directive and some property binding into app.component.html:

<highcharts-chart *ngIf="chartOptions"
  style="width: 100%; height: 400px; display: block;">

And here is the final result:
As you can see on the GIF below, the bar chart gets the data from the database
The final result

Well, that is it. Now, you know how to combine Django, a high-level Python Web framework,
Sqlite(DataBase) with Angular Framework, and the official Highcharts Angular.

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