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Khamisi Kibet

Khamisi Kibet

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7 Months ago | 72 views

**Course Title:** PyQt6 Application Development **Section Title:** Understanding the Model-View-Controller (MVC) Pattern **Topic:** Creating custom models and proxy models In the previous topics, we covered the basics of the Model-View-Controller (MVC) pattern in PyQt6 and worked with pre-built models and views. However, in real-world applications, you often need to create custom models and proxy models to handle complex data structures and filtering. In this topic, we will explore how to create custom models and proxy models using PyQt6. **What are custom models?** A custom model is a class that inherits from `QAbstractItemModel` or one of its subclasses and provides a custom implementation for handling data. Custom models are useful when you need to display data that doesn't fit into the pre-built model classes, such as a hierarchical data structure or a dynamic data set. **Creating a custom model** To create a custom model, you need to override the virtual functions of `QAbstractItemModel`. These functions include: * `data()`: Returns the data stored under the given role for the item referred to by the index. * `itemData()`: Returns a dictionary mapping model roles to data indices. * `index()`: Returns the index of the item in the model specified by the given row, column, and parent index. * `parent()`: Returns the parent index for the given child index. * `rowCount()`: Returns the number of rows under the given parent. * `columnCount()`: Returns the number of columns under the given parent. Here's an example of a simple custom model that displays a list of names and ages: ```python import sys from PyQt6.QtCore import QAbstractItemModel, Qt from PyQt6.QtWidgets import QApplication, QListView class CustomModel(QAbstractItemModel): def __init__(self, data): super().__init__() self._data = data def data(self, index, role): if role == Qt.ItemDataRole.DisplayRole: return self._data[index.row()][0] def itemData(self, index): if index.isValid(): return {Qt.ItemDataRole.DisplayRole: self._data[index.row()][0], Qt.ItemDataRole.UserRole: self._data[index.row()][1]} else: return {} def index(self, row, column, parent): return self.createIndex(row, column) def parent(self, index): return self.createIndex(0, 0) def rowCount(self, parent): return len(self._data) def columnCount(self, parent): return 1 if __name__ == "__main__": app = QApplication(sys.argv) model = CustomModel([["John", 25], ["Jane", 30], ["Bob", 35]]) view = QListView() view.setModel(model) view.show() sys.exit(app.exec()) ``` **What are proxy models?** A proxy model is a class that inherits from `QAbstractProxyModel` and provides a layer of abstraction between a source model and a view. Proxy models are useful when you need to filter or transform data before it's displayed in a view. **Creating a proxy model** To create a proxy model, you need to override the virtual functions of `QAbstractProxyModel`. These functions include: * `sourceModel()`: Returns the source model for the proxy model. * `setSourceModel()`: Sets the source model for the proxy model. * `index()`: Returns the index of the item in the proxy model specified by the given row, column, and parent index. * `mapToSource()`: Returns the source index for the given proxy index. * `mapFromSource()`: Returns the proxy index for the given source index. Here's an example of a simple proxy model that filters out items that contain a certain string: ```python import sys from PyQt6.QtCore import QAbstractProxyModel, Qt from PyQt6.QtWidgets import QApplication, QListView class ProxyModel(QAbstractProxyModel): def __init__(self, sourceModel, filterString): super().__init__() self._sourceModel = sourceModel self._filterString = filterString def setSourceModel(self, sourceModel): self._sourceModel = sourceModel self.invalidate() def index(self, row, column, parent): return self.createIndex(row, column) def mapToSource(self, proxyIndex): return self._sourceModel.index(proxyIndex.row(), proxyIndex.column()) def mapFromSource(self, sourceIndex): return self.createIndex(sourceIndex.row(), sourceIndex.column()) def rowCount(self, parent): return self._sourceModel.rowCount() def filterAcceptsRow(self, sourceRow, sourceParent): return self._filterString not in self._sourceModel.data(self._sourceModel.index(sourceRow, 0), Qt.ItemDataRole.DisplayRole) if __name__ == "__main__": app = QApplication(sys.argv) sourceModel = CustomModel([["John", 25], ["Jane", 30], ["Bob", 35]]) proxyModel = ProxyModel(sourceModel, "J") view = QListView() view.setModel(proxyModel) view.show() sys.exit(app.exec()) ``` **Conclusion** In this topic, we covered how to create custom models and proxy models in PyQt6. We explored how to override the virtual functions of `QAbstractItemModel` and `QAbstractProxyModel` to provide custom implementations for handling data. We also saw examples of simple custom models and proxy models. By mastering these concepts, you'll be able to create complex and dynamic data structures that can be displayed in a PyQt6 view. **External Links** * [Qt Documentation: Model/View Programming](https://doc.qt.io/qt-6/model-view-programming.html) * [Qt Documentation: QAbstractItemModel](https://doc.qt.io/qt-6/qabstractitemmodel.html) * [Qt Documentation: QAbstractProxyModel](https://doc.qt.io/qt-6/qabstractproxymodel.html) **Leave a Comment/Ask for Help** If you have any questions or need help with creating custom models or proxy models in PyQt6, feel free to leave a comment below.
Course
PyQt6
Python
UI Development
Cross-Platform
Animations

Creating Custom Models and Proxy Models in PyQt6

**Course Title:** PyQt6 Application Development **Section Title:** Understanding the Model-View-Controller (MVC) Pattern **Topic:** Creating custom models and proxy models In the previous topics, we covered the basics of the Model-View-Controller (MVC) pattern in PyQt6 and worked with pre-built models and views. However, in real-world applications, you often need to create custom models and proxy models to handle complex data structures and filtering. In this topic, we will explore how to create custom models and proxy models using PyQt6. **What are custom models?** A custom model is a class that inherits from `QAbstractItemModel` or one of its subclasses and provides a custom implementation for handling data. Custom models are useful when you need to display data that doesn't fit into the pre-built model classes, such as a hierarchical data structure or a dynamic data set. **Creating a custom model** To create a custom model, you need to override the virtual functions of `QAbstractItemModel`. These functions include: * `data()`: Returns the data stored under the given role for the item referred to by the index. * `itemData()`: Returns a dictionary mapping model roles to data indices. * `index()`: Returns the index of the item in the model specified by the given row, column, and parent index. * `parent()`: Returns the parent index for the given child index. * `rowCount()`: Returns the number of rows under the given parent. * `columnCount()`: Returns the number of columns under the given parent. Here's an example of a simple custom model that displays a list of names and ages: ```python import sys from PyQt6.QtCore import QAbstractItemModel, Qt from PyQt6.QtWidgets import QApplication, QListView class CustomModel(QAbstractItemModel): def __init__(self, data): super().__init__() self._data = data def data(self, index, role): if role == Qt.ItemDataRole.DisplayRole: return self._data[index.row()][0] def itemData(self, index): if index.isValid(): return {Qt.ItemDataRole.DisplayRole: self._data[index.row()][0], Qt.ItemDataRole.UserRole: self._data[index.row()][1]} else: return {} def index(self, row, column, parent): return self.createIndex(row, column) def parent(self, index): return self.createIndex(0, 0) def rowCount(self, parent): return len(self._data) def columnCount(self, parent): return 1 if __name__ == "__main__": app = QApplication(sys.argv) model = CustomModel([["John", 25], ["Jane", 30], ["Bob", 35]]) view = QListView() view.setModel(model) view.show() sys.exit(app.exec()) ``` **What are proxy models?** A proxy model is a class that inherits from `QAbstractProxyModel` and provides a layer of abstraction between a source model and a view. Proxy models are useful when you need to filter or transform data before it's displayed in a view. **Creating a proxy model** To create a proxy model, you need to override the virtual functions of `QAbstractProxyModel`. These functions include: * `sourceModel()`: Returns the source model for the proxy model. * `setSourceModel()`: Sets the source model for the proxy model. * `index()`: Returns the index of the item in the proxy model specified by the given row, column, and parent index. * `mapToSource()`: Returns the source index for the given proxy index. * `mapFromSource()`: Returns the proxy index for the given source index. Here's an example of a simple proxy model that filters out items that contain a certain string: ```python import sys from PyQt6.QtCore import QAbstractProxyModel, Qt from PyQt6.QtWidgets import QApplication, QListView class ProxyModel(QAbstractProxyModel): def __init__(self, sourceModel, filterString): super().__init__() self._sourceModel = sourceModel self._filterString = filterString def setSourceModel(self, sourceModel): self._sourceModel = sourceModel self.invalidate() def index(self, row, column, parent): return self.createIndex(row, column) def mapToSource(self, proxyIndex): return self._sourceModel.index(proxyIndex.row(), proxyIndex.column()) def mapFromSource(self, sourceIndex): return self.createIndex(sourceIndex.row(), sourceIndex.column()) def rowCount(self, parent): return self._sourceModel.rowCount() def filterAcceptsRow(self, sourceRow, sourceParent): return self._filterString not in self._sourceModel.data(self._sourceModel.index(sourceRow, 0), Qt.ItemDataRole.DisplayRole) if __name__ == "__main__": app = QApplication(sys.argv) sourceModel = CustomModel([["John", 25], ["Jane", 30], ["Bob", 35]]) proxyModel = ProxyModel(sourceModel, "J") view = QListView() view.setModel(proxyModel) view.show() sys.exit(app.exec()) ``` **Conclusion** In this topic, we covered how to create custom models and proxy models in PyQt6. We explored how to override the virtual functions of `QAbstractItemModel` and `QAbstractProxyModel` to provide custom implementations for handling data. We also saw examples of simple custom models and proxy models. By mastering these concepts, you'll be able to create complex and dynamic data structures that can be displayed in a PyQt6 view. **External Links** * [Qt Documentation: Model/View Programming](https://doc.qt.io/qt-6/model-view-programming.html) * [Qt Documentation: QAbstractItemModel](https://doc.qt.io/qt-6/qabstractitemmodel.html) * [Qt Documentation: QAbstractProxyModel](https://doc.qt.io/qt-6/qabstractproxymodel.html) **Leave a Comment/Ask for Help** If you have any questions or need help with creating custom models or proxy models in PyQt6, feel free to leave a comment below.

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PyQt6 Application Development

Course

Objectives

  • Master PyQt6 for creating cross-platform desktop applications with a modern, professional UI.
  • Understand the core concepts of Qt and how to implement them using Python and PyQt6.
  • Develop applications using widgets, layouts, and advanced UI elements in PyQt6.
  • Implement features like data binding, custom styling, and animations.

Introduction to PyQt6 and Qt Framework

  • Overview of PyQt6 and the Qt Framework
  • Setting up the development environment: Installing PyQt6, configuring IDEs
  • Basic structure of a PyQt6 application
  • Introduction to event-driven programming
  • Lab: Setting up PyQt6 and creating your first simple PyQt6 app (Hello World).

Working with Widgets and Layouts

  • Introduction to core widgets: QPushButton, QLabel, QLineEdit, and more
  • Using layouts: QVBoxLayout, QHBoxLayout, QGridLayout
  • Handling events and signals in PyQt6
  • Connecting signals to slots
  • Lab: Building a basic form with widgets and handling user inputs.

Advanced Widgets and Forms

  • Advanced widgets: QComboBox, QListWidget, QTableWidget, QTreeView
  • Implementing validation in forms with QLabel and QLineEdit
  • Creating reusable custom widgets
  • Advanced signals and slots techniques
  • Lab: Creating a form with advanced widgets and custom validation.

Building Responsive and Adaptive UIs

  • Designing dynamic UIs that adapt to window resizing
  • Using QStackedWidget and dynamic layouts
  • Implementing QSplitter and QTabWidget for multi-view interfaces
  • Best practices for responsive desktop app design
  • Lab: Building a multi-view app with dynamic layouts and split views.

Understanding the Model-View-Controller (MVC) Pattern

  • Introduction to the MVC pattern in PyQt6
  • Working with models: QAbstractListModel, QAbstractTableModel
  • Data binding between models and views
  • Creating custom models and proxy models
  • Lab: Developing a custom model-based app with list and table views.

Styling and Theming in PyQt6

  • Introduction to Qt Stylesheets for customizing UI
  • Customizing widget appearance with stylesheets
  • Implementing dark mode
  • Dynamic theming: Switching themes at runtime
  • Lab: Designing a custom-styled app with dynamic theming, including a dark mode.

Working with Files and User Input

  • Using QFileDialog for file selection
  • Reading and writing files using QFile and QTextStream
  • Implementing drag-and-drop functionality
  • Handling keyboard and mouse events
  • Lab: Building an app that reads and writes files, with drag-and-drop and keyboard handling.

Integrating Databases with PyQt6

  • Introduction to databases in PyQt6
  • Working with QSqlDatabase and QSqlQuery
  • Performing CRUD operations in SQL databases
  • Displaying database data in views like QTableView
  • Lab: Building a CRUD app with SQLite and displaying data in a table.

Multithreading and Asynchronous Programming

  • Introduction to multithreading in PyQt6
  • Using QThread for background processing
  • Handling long-running tasks while keeping the UI responsive
  • Using Qt's signal-slot mechanism for asynchronous operations
  • Lab: Developing a multithreaded app that handles background tasks.

Graphics and Animations

  • Introduction to QGraphicsView and QGraphicsScene
  • Creating and rendering custom graphics items
  • Animating UI elements using QPropertyAnimation and QSequentialAnimationGroup
  • Basic 2D drawing with QPainter
  • Lab: Creating a graphical app with animations and custom drawings.

Deploying PyQt6 Applications

  • Packaging PyQt6 applications for distribution (PyInstaller, fbs)
  • Cross-platform compatibility considerations
  • Creating app installers
  • Best practices for app deployment and versioning
  • Lab: Packaging a PyQt6 app with PyInstaller and creating an installer.

Advanced Topics and Final Project Preparation

  • Exploring platform-specific features (system tray, notifications)
  • Introduction to multimedia with PyQt6 (audio, video, camera)
  • Exploring QML integration with PyQt6
  • Overview and preparation for the final project
  • Lab: Begin planning and working on the final project.

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