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Interactive Dashboards and Data Apps with Plotly and Dash

You're reading from   Interactive Dashboards and Data Apps with Plotly and Dash Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800568914
Length 364 pages
Edition 1st Edition
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Author (1):
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Elias Dabbas Elias Dabbas
Author Profile Icon Elias Dabbas
Elias Dabbas
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Building a Dash App
2. Chapter 1: Overview of the Dash Ecosystem FREE CHAPTER 3. Chapter 2: Exploring the Structure of a Dash App 4. Chapter 3: Working with Plotly's Figure Objects 5. Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express 6. Section 2: Adding Functionality to Your App with Real Data
7. Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus 8. Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders 9. Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown 10. Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables 11. Section 3: Taking Your App to the Next Level
12. Chapter 9: Letting Your Data Speak for Itself with Machine Learning 13. Chapter 10: Turbo-charge Your Apps with Advanced Callbacks 14. Chapter 11: URLs and Multi-Page Apps 15. Chapter 12: Deploying Your App 16. Chapter 13: Next Steps 17. Other Books You May Enjoy

Allowing users to add dynamic components to the app

Not only will users be able to add components to the app's layout, but the components' contents will also be dynamically generated. Take a look at Figure 10.6 for the simplest example that we will start with:

Figure 10.6 – An app allowing users to add components to the app's layout

Figure 10.6 – An app allowing users to add components to the app's layout

Although extremely simple, the charts in this app have different dynamic names, as you can see in the chart titles. This was based on the dynamic value of n_clicks, which changes on every click.

The amount of code required to generate this is similar to any simple app; there isn't much complexity involved. We just need to look at it with fresh eyes. Let's start by coding the layout, which will consist of two simple components:

  1. Create a button to trigger the addition of new charts:
    dbc.Button("Add Chart", id='button')
  2. Create an empty div, with its children attribute...
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