Home >Backend Development >Python Tutorial >Guide to developing weather forecast applications based on Django Prophet

Guide to developing weather forecast applications based on Django Prophet

王林Original: 2023-09-26 12:01:451363browse

基于Django Prophet的天气预测应用程序开发指南

Weather prediction application development guide based on Django Prophet

Introduction:
Weather prediction is a very important part of people's daily life. Accurate weather prediction can Help people make decisions such as travel planning, crop planting, and energy dispatch. This article will introduce how to use Django Prophet to develop a weather forecast application that can predict future weather based on historical weather data.

1. Preparation work
Before starting development, we need to prepare the following environment and tools:

Python 3.x
Django
Prophet
Pandas
Database (such as MySQL, SQLite, etc.)

2. Create a Django project

In Run the following command on the command line to create a new Django project:
```
django-admin startproject weather_forecast
```
Enter the project directory:
```
cd weather_forecast
```
Create a new Django application Program:
```
python manage.py startapp forecast
```
Add the application in the settings.py file of the project:
```
INSTALLED_APPS = [
 ...
 'forecast',
 ...
]
```

3. Define the data model

Define a Weather model in the models.py file of the forecast application, which contains fields such as date, minimum temperature, maximum temperature:

from django.db import models

class Weather(models.Model):
 date = models.DateTimeField()
 min_temperature = models.FloatField()
 max_temperature = models.FloatField()
 humidity = models.FloatField()

 def __str__(self):
     return str(self.date)

In the command line Run the following command to create a database table:
```
python manage.py makemigrations
python manage.py migrate
```

4. Import historical weather data

Create a weather.csv file in the root directory of the project, Used to store historical weather data. The data should contain fields such as date, minimum temperature, maximum temperature, humidity, etc.

Write a view function that imports data in the views.py file of the forecast application:

from django.shortcuts import render
import pandas as pd
from .models import Weather

def import_data(request):
 data = pd.read_csv('weather.csv')

 for index, row in data.iterrows():
     weather = Weather(
         date=row['date'],
         min_temperature=row['min_temperature'],
         max_temperature=row['max_temperature'],
         humidity=row['humidity']
     )
     weather.save()

 return render(request, 'forecast/import_data.html')

Add a view function in the urls.py file of the project URL mapping of imported data:

from django.urls import path
from forecast import views

urlpatterns = [
 ...
 path('import/', views.import_data, name='import_data'),
 ...
]

5. Use Prophet for weather forecast

Write a view in the views.py file of the forecast application View function to predict weather:

from django.shortcuts import render
from .models import Weather
from fbprophet import Prophet
import pandas as pd

def predict_weather(request):
 data = Weather.objects.all()
 df = pd.DataFrame(list(data.values()))

 df = df.rename(columns={'date': 'ds', 'max_temperature': 'y'})
 model = Prophet()
 model.fit(df)

 future = model.make_future_dataframe(periods=365)
 forecast = model.predict(future)

 return render(request, 'forecast/predict_weather.html', {'forecast': forecast})

Add a URL mapping to predict weather in the project’s urls.py file:

from django.urls import path
from forecast import views

urlpatterns = [
 ...
 path('predict/', views.predict_weather, name='predict_weather'),
 ...
]

6. Create a template file

Create an import_data.html file in the templates directory of the forecast application, a page for importing historical weather data:

<!DOCTYPE html>
<html>
<head>
 <title>Import Data</title>
</head>
<body>
 <h1>Import Data</h1>
 <form action="{% url 'import_data' %}" method="POST">
     {% csrf_token %}
     <input type="submit" value="Import">
 </form>
</body>
</html>

Create a predict_weather.html file in the templates directory of the forecast application to display the predicted weather results:

<!DOCTYPE html>
<html>
<head>
 <title>Predict Weather</title>
</head>
<body>
 <h1>Predicted Weather</h1>

 <table>
     <thead>
         <tr>
             <th>Date</th>
             <th>Max Temperature (°C)</th>
             <th>Humidity</th>
         </tr>
     </thead>
     <tbody>
         {% for index, row in forecast.iterrows %}
         <tr>
             <td>{{ row['ds'] }}</td>
             <td>{{ row['yhat'] }}</td>
             <td>{{ row['humidity'] }}</td>
         </tr>
         {% endfor %}
     </tbody>
 </table>
</body>
</html>

7. Run the application

Run the following command in the command line to start the Django development server:
```
python manage.py runserver
```
Visit http://localhost:8000/import/ in the browser to import historical weather data.
Visit http://localhost:8000/predict/ for weather prediction, and the prediction results will be displayed on the page.

Conclusion:
This article introduces how to use Django Prophet to develop a weather forecast application. By importing historical weather data and using the Prophet model for prediction, we can predict future weather based on past weather conditions. I hope this article was helpful and gave you a deeper understanding of developing weather prediction applications.

The above is the detailed content of Guide to developing weather forecast applications based on Django Prophet. For more information, please follow other related articles on the PHP Chinese website!

Python mysql django html sqlite 数据库 http

Statement：

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

Previous article：How to use Celery Redis Django to improve the asynchronous task processing efficiency of the websiteNext article：How to use Celery Redis Django to improve the asynchronous task processing efficiency of the website

See more

Guide to developing weather forecast applications based on Django Prophet

Related articles