Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By : Elias Dabbas
Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By: Elias Dabbas

Overview of this book

Plotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways. Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you’ll integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more in the app and then link them to charts and other outputs. Depending on the data you are visualizing, you'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.
Table of Contents (18 chapters)
1
Section 1: Building a Dash App
6
Section 2: Adding Functionality to Your App with Real Data
11
Section 3: Taking Your App to the Next Level

Setting up and running the app with a WSGI

We have run our app using the python app.py command from the command line. Alternatively, we used the app.run_server method when running with jupyter_dash. We are going to do it now with Gunicorn, our WSGI server.

The command is slightly different from the previous one and is run with the following pattern:

gunicorn <app_module_name:server_name>

We have two main differences here. First, we only use the module name, or the filename without the .py extension. Then, we add a colon, and then the server name. This is a simple variable that we have to define, and it can be done with one line of code, right after we define our top-level app variable, as follows:

app = dash.Dash(__name__)
server = app.server

Now that we have defined our sever as server, and assuming our app is in a file called app.py, we can run the app from the command line, as follows:

gunicorn app:server

That's it for the WSGI server!

Once that...