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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

Understanding State

The typical callback function structure that we used so far contained one or more Output elements and one or more Input elements. As mentioned in the introduction, the callbacks fire immediately when users modify an Input element. We want to relax this option a little. We will start with a simple example demonstrating why and how to use State, which is an optional argument that can be given to our callbacks.

To make the problem we are trying to solve clear, take a look at Figure 10.1:

Figure 10.1 – An interactive app with outputs that are not properly synchronized with input values

Figure 10.1 – An interactive app with outputs that are not properly synchronized with input values

As you can see, the output is showing the wrong values. The reason is that the app was made very slow by introducing a waiting time, to simulate a practical situation that you might face with your apps. The output was not wrong, actually; it just took too long to update, so when the input was changed, it wasn't immediately reflected in the...

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