Pythonダッシュモーダルの使い方を簡単に解説

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Python Dash Modal - Building Interactive Dashboards with Python

Introduction

In this tutorial, we will explore how to use user inputs in Dash components to build interactive dashboards with Python. Dash is a Python framework for creating web-based dashboards and visualizations, and it provides a wide range of components that allow users to interact with the data and modify the dashboard dynamically.

Table of Contents

• Chapter 1: Introduction to Dash
• Chapter 2: Styling Dash Apps
• Chapter 3: Interactivity with Callbacks and Components
• Chapter 4: Advanced Dash Apps

Chapter 1: Introduction to Dash

In this chapter, we will dive into building our first Dash app. We will start by revising Plotly, which is the underlying library of Dash. Then, we will learn how to structure larger Dash apps using HTML. Finally, we will create a multi-graph dashboard for a global e-commerce organization.

Chapter Details

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Chapter 2: Styling Dash Apps

In this chapter, we will learn how to control the elements in our Dash apps using HTML and CSS. We will explore the core concepts of modern web development and incorporate their powerful abilities in our Dash apps to change the size, color, and placement of objects.

Chapter Details

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Chapter 3: Interactivity with Callbacks and Components

In this chapter, we will turn our Dash apps into user-driven experiences by mastering interactive components. We will learn how to include dropdowns, date pickers, and event free text fields to modify elements on our Dash apps. This will allow us to build truly self-service dashboards that our users can explore.

Callbacks in Dash

To make our Dash apps interactive, we can use callbacks. Callbacks are functions that are triggered when a specific event occurs, such as clicking a button or making a selection from a dropdown. We can then use these functions to update the elements of our dashboard dynamically.

Example:

import dash
from dash.dependencies import Input, Output

app = dash.Dash(__name__)

@app.callback(
    Output('output', 'children'),
    [Input('input', 'value')]
)
def update_output(value):
    return f'You entered: {value}'

if __name__ == '__main__':
    app.run_server(debug=True)

User inputs in Dash components

As mentioned earlier, Dash provides various components that allow users to interact with the data. We can retrieve the inputs from these components and use them to update the dashboard accordingly.

Example:

import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output

app = dash.Dash(__name__)

app.layout = html.Div([
    dcc.Input(id='input', type='text', value=''),
    html.Div(id='output')
])

@app.callback(
    Output('output', 'children'),
    [Input('input', 'value')]
)
def update_output(value):
    return f'You entered: {value}'

if __name__ == '__main__':
    app.run_server(debug=True)

Chapter Details

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Chapter 4: Advanced Dash Apps

In this chapter, we will unleash the full power of Dash app interactivity. We will learn how to trigger changes to one graph when a user interacts with another graph. Additionally, we will explore Dash’s Data Table module for creating tables that can be filtered, sorted, and paginated.

Chapter Details

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Conclusion

By incorporating user inputs in Dash components, we can create interactive dashboards that allow users to explore and analyze data easily. Dash provides a powerful framework for building web-based dashboards with Python, and with the knowledge gained from this tutorial, you can create your own interactive applications.