# PyQt v4 - Python Bindings for Qt v4

## Reference Guide

Contact: | info@riverbankcomputing.com
Version: | 4.8.1
Copyright: | Copyright (c) 2010 Riverbank Computing Limited

Contents

# 1 Introduction

This is the reference guide for PyQt 4.8.1. PyQt v4 is a set of Python bindings for v4 of the Qt application framework from Nokia.

There is a separate PyQt API Reference.

Qt is a set of C++ libraries and development tools that includes platform independent abstractions for graphical user interfaces, networking, threads, Unicode, regular expressions, SQL databases, SVG, OpenGL, XML, and user and application settings. PyQt implements 440 of these classes as a set of Python modules.

PyQt supports the Windows, Linux, UNIX and MacOS/X platforms.

PyQt does not include Qt itself - you must obtain it separately.

The homepage for PyQt is http://www.riverbankcomputing.com/software/pyqt/. Here you will always find the latest stable version, current development snapshots, and the latest version of this documentation.

PyQt is built using the SIP bindings generator. SIP must be installed in order to build and use PyQt.

Earlier versions of Qt are supported by PyQt v3.

## 1.1 License

PyQt is licensed on all platforms under a commercial license, the GPL v2 and the GPL v3. Your PyQt license must be compatible with your Qt license. If you use the GPL versions then your own code must also use a compatible license.

PyQt, unlike Qt, is not available under the LGPL.

You can purchase a commercial PyQt license here.

## 1.2 PyQt Components

PyQt comprises a number of different components. First of all there are a number of Python extension modules. These are all installed in the `PyQt4` Python package.

> - The `QtCore` module. This contains the core non-GUI classes, including the event loop and Qt's signal and slot mechanism. It also includes platform independent abstractions for Unicode, threads, mapped files, shared memory, regular expressions, and user and application settings.
> - The `QtGui` module. This contains the majority of the GUI classes.
> - The `QtHelp` module. This contains classes for creating and viewing searchable documentation.
> - The `QtNetwork` module. This module contains classes for writing UDP and TCP clients and servers. It includes classes that implement FTP and HTTP clients and support DNS lookups.
> - The `QtOpenGL` module. This module contains classes that enable the use of OpenGL in rendering 3D graphics in PyQt applications.
> - The `QtScript` module. This module contains classes that enable PyQt applications to be scripted using Qt's JavaScript interpreter.
> - The `QtScriptTools` module. This module contains classes that contain additional components (e.g. a debugger) that are used with Qt's JavaScript interpreter.
> - The `QtSql` module. This module contains classes that integrate with SQL databases. It includes editable data models for database tables that can be used with GUI classes. It also includes an implementation of SQLite.
> - The `QtSvg` module. This module contains classes for displaying the contents of SVG files.
> - The `QtTest` module. This module contains functions that enable unit testing of PyQt applications. (PyQt does not implement the complete Qt unit test framework. Instead it assumes that the standard Python unit test framework will be used and implements those functions that simulate a user interacting with a GUI.)
> - The `QtWebKit` module. This module implements a web browser engine based on the WebKit open source browser engine.
> - The `QtXml` module. This module contains classes that implement SAX and DOM interfaces to Qt's XML parser.
> - The `QtXmlPatterns` module. This module contains classes that implement XQuery and XPath support for XML and custom data models.
> - The `phonon` module. This module contains classes that implement a cross-platform multimedia framework that enables the use of audio and video content in PyQt applications.
> - The `QtDeclarative` module. This module provides a declarative framework for building highly dynamic, custom user interfaces using QML.
> - The `QtMultimedia` module. This module provides low-level multimedia functionality. Application developers would normally use the `phonon` module.
> - The `QtAssistant` module. This module contains classes that allow Qt Assistant to be integrated with a PyQt application to provide online help. This module is not available with Qt v4.7 and later.
> - The `QtDesigner` module. This module contains classes that allow Qt Designer to be extended using PyQt. See Writing Qt Designer Plugins for a full description of how to do this.
> - The `QAxContainer` module. This module contains classes that allow access to ActiveX controls and COM objects.
> - The `Qt` module. This module consolidates the classes contained in all of the modules described above into a single module. This has the advantage that you don't have to worry about which underlying module contains a particular class. It has the disadvantage that it loads the whole of the Qt framework, thereby increasing the memory footprint of an application. Whether you use this consolidated module, or the individual component modules is down to personal taste.
> - The DBus support module is installed as `dbus.mainloop.qt`. PyQt does not support Qt's native DBus classes (which are very C++ orientated). Instead the `dbus.mainloop.qt` module provides support for the Qt event loop in the same way that the `dbus.mainloop.glib` included with the standard `dbus-python` bindings package provides support for the GLib event loop. The API is described in The DBus Support Module. It is only available for PyQt for X11 and only if the `dbus-python` v0.80 (or later) bindings package is installed.
> - The `uic` module. This module contains classes for handling the `.ui` files created by Qt Designer that describe the whole or part of a graphical user interface. It includes classes that load a `.ui` file and render it directly, and classes that generate Python code from a `.ui` file for later execution. It is covered in detail in The uic Module.
> - The `pyqtconfig` module is an extention of the SIP build system and is created when PyQt is configured. It encapsulates all the necessary information about your Qt installation and makes it easier to write installation scripts for bindings built on top of PyQt. It is covered in detail in The PyQt Build System.

PyQt also contains a number of utility programs.

> - pyuic4 corresponds to the Qt `uic` utility. It converts GUIs created using Qt Designer to Python code. It is covered in detail in pyuic4.
> - pyrcc4 corresponds to the Qt `rcc` utility. It embeds arbitrary resources (eg. icons, images, translation files) described by a resource collection file in a Python module. It is covered in detail in pyrcc4. (Note It will only be included if your copy of Qt includes the XML module.)
> - pylupdate4 corresponds to the Qt `lupdate` utility. It extracts all of the translatable strings from Python code and creates or updates `.ts` translation files. These are then used by Qt Linguist to manage the translation of those strings. It is covered in detail in pylupdate4. (Note It will only be included if your copy of Qt includes the XML module.)

When PyQt is configured a file called `PyQt4.api` is generated. This can be used by the QScintilla editor component (at http://www.riverbankcomputing.com/software/qscintilla/) to enable the use of auto-completion and call tips when editing PyQt code. The API file is installed automatically if QScintilla is already installed.

PyQt includes a large number of examples. These are ports to Python of many of the C++ examples provided with Qt. They can be found in the `examples` directory.

Finally, PyQt contains the `.sip` files used by SIP to generate PyQt itself. These can be used by developers of bindings of other Qt based class libraries - for example PyQwt and PyQwt3D.

# 2 Potential Incompatibilities with Earlier Versions

## 2.1 PyQt v4.8

### 2.1.1 QVariantList

In previous versions PyQt would always try and convert a Python list to a `QVariantList`. In this version PyQt will first try to convert it to a `QVariant` containing a `QList<QObject *>`, but only if `QList<QObject *>` has been registered with Qt as a meta-type.

Normally it is only the `QtDeclarative` module that registers this meta-type and so the behaviour of existing applications should be unchanged. It is possible however that you might observe different conversion behaviour after importing the `QtDeclarative` module.

## 2.2 PyQt v4.7.4

### 2.2.1 pyqtSignal() with dict and list

In previous versions a Qt signal defined using `pyqtSignal()` that had an argument specified as a dict then, when emitting a value, PyQt would try and convert the value to a `QVariantMap` if possible. If it wasn't possible, normally because the dict had non-string keys, then the value would be left as a dict object.

In this version PyQt will not attempt to convert the value to a `QVariantMap` and will always leave it as a dict object. If you want the value to be converted to a `QVariantMap` then define the signal argument as `'QVariantMap'`.

The same applies to conversions between lists and `QVariantList`.

## 2.3 PyQt v4.7.1

### 2.3.1 QVariant

This version introduces a slight incompatibility in the conversion between sub-classes of standard Python types and `QVariant`.

Take, for example, the following code:

    from PyQt4.QtCore import QVariant

    class MyFloat(float):

        pass

    myfloat = MyFloat(5.0)
    variant = QVariant(myfloat)

With this version of PyQt `myfloat` will be converted in such a way as to preserve any additional attributes (including methods) and will not be converted to a C++ `double`. In other words, the following assertions are true:

    assert(variant.type() != QVariant.Double)
    assert(variant.toPyObject() is myfloat)

Prior to this version `myfloat` would be converted to a C++ `double`. In other words, the following assertions would be true:

    assert(variant.type() == QVariant.Double)
    assert(variant.toPyObject() == myfloat)
    assert(type(variant.toPyObject()) is float)

The same change also affects objects that implement the sequence protocol. Prior to this version such an object would be converted to a `QVariantList` which would mean that it was converted back to a Python `list` rather than to the original type.

## 2.4 PyQt v4.5

### 2.4.1 QVariant

This version introduces a slight incompatibility in the conversion between Python sub-classes of certain Qt classes and `QVariant`. The Qt classes affected are those that `QVariant` has explicit support for, e.g. `QSize`, `QBitmap`.

Take, for example, the following code:

    from PyQt4.QtCore import QSize, QVariant

    class MySize(QSize):

        pass

    mysize = MySize(5, 5)
    variant = QVariant(mysize)

With this version of PyQt `mysize` will be converted in such a way as to preserve any additional attributes (including methods) and will not be converted to a C++ `QSize` instance. In other words, the following assertions are true:

    assert(variant.type() != QVariant.Size)
    assert(variant.toPyObject() is mysize)

Prior to this version `mysize` would be converted to a C++ `QSize` instance. In other words, the following assertions would be true:

    assert(variant.type() == QVariant.Size)
    assert(variant.toPyObject() == mysize)
    assert(type(variant.toPyObject()) is QSize)

It is hoped that this change of behaviour will not have a significant impact. However if you need the old behaviour then simple create a copy of your sub-class instance using the base class constructor as shown below:

    variant = QVariant(QSize(mysize))

A similar issue also affects the conversion of the Python `datetime`, `date` and `time` types to `QVariant`. These are no longer converted to the corresponding `QDateTime`, `QDate` and `QTime` classes. The values can be retrieved using `QVariant.toPyObject()`. Again, the old behaviour can be achieved using an explicit conversion to the Qt class before converting to `QVariant`.

A further incompatible change is the handling of Python sub-classes of `QObject`. In previous versions `QVariant.userType()` would return an internal type and an extra reference would be kept to the Python object. In the current version `QVariant.userType()` will correctly return `QMetaType.QObjectStar` (or `QMetaType.QWidgetStar`) but an extra reference to the Python object is not kept. To avoid a potential crash you should ensure that you keep a separate reference to the Python object, either explicitly or implicitly by giving it a parent.

### 2.4.2 pyrcc4 Support for Python v3

pyrcc4 will now generate code for Python v3 when the new `-py3` command line option is used. The generated code will also work with Python v2.6 and later.

By default pyrcc4 will generate code for all Python v2 versions but you should use the new `-py2` command line option to enforce this in case the default is changed in the future.

# 3 Installing PyQt

## 3.1 Downloading SIP

SIP must be installed before building and using PyQt. You can get the latest release of the SIP source code from http://www.riverbankcomputing.com/software/sip/download.

The SIP documentation can be found at http://www.riverbankcomputing.com/static/Docs/sip4/index.html.

## 3.2 Downloading PyQt

You can get the latest release of the GPL version of the PyQt source code from http://www.riverbankcomputing.com/software/pyqt/download.

If you are using the commercial version of PyQt then you should use the download instructions which were sent to you when you made your purchase. You must also download your license file.

## 3.3 Configuring PyQt

After unpacking the source package (either a `.tar.gz` or a `.zip` file depending on your platform) you should then check for any `README` files that relate to your platform.

If you are using the commercial version of PyQt then you must copy your license file to the `sip` directory.

You need to make sure your environment variables are set properly for your development environment. For example, if you are using a binary distribution of Qt on Windows then make sure you have run the `qtvars.bat` file. For other platforms it is normally enough to ensure that Qt's `bin` directory is on your `PATH`.

Next you need to configure SIP by executing the `configure.py` script. For example:

    python configure.py

This assumes that the Python interpreter is on your path. Something like the following may be appropriate on Windows:

    c:\python26\python configure.py

If you have multiple versions of Python installed then make sure you use the interpreter for which you wish to build PyQt for.

The full set of command line options is:

`--version` | Display the PyQt version number.
`-h, --help` | Display a help message.
`--confirm-license`
| Using this confirms that you accept the terms of the PyQt license.
`-k, --static` | The PyQt modules will be built as static libraries. This is useful when building a custom interpreter with the PyQt modules built in to the interpreter.
`--no-docstrings`
| The PyQt modules will not contain automatically generated docstrings.
`-r, --trace` | The generated PyQt modules contain additional tracing code that is enabled using SIP's `sip.settracemask()` function.
`-u, --debug` | The PyQt modules will be built with debugging symbols. On Windows this requires that a debug version of Python is installed.
`-w, --verbose` | Compiler commands and any output issued during configuration is displayed instead of being suppressed. Use this if `configure.py` is having problems to see what exactly is going wrong.
`-c, --concatenate`
| The C++ source files for a Python module will be concatenated. This results in significantly reduced compilation times. Most, but not all, C++ compilers can handle the large files that result. See also the `--concatenate-split` option.
`-j N, --concatenate-split=N`
| If the `--concatenate` option is used to concatenate the C++ source files then this option determines how many files are created. The default is 1.
`--assume-shared`
| Normally Qt is checked to see if it has been built as shared libraries. Some Linux distributions configure their Qt builds to make this check unreliable. This option ignores the result of the check and assumes that Qt has been built as shared libraries.
`-g, --consolidate`
| Normally each PyQt module (except for the `Qt` module) is linked against the corresponding Qt library. This option creates a module called `_qt` which is linked against all the required Qt libraries and the other modules are stub modules that populate their module dictionaries from this one. This is useful when linking against static Qt libraries to eliminate the need to distribute the Qt libraries while minimising the memory footprint of the PyQt modules.
`-e MODULE, --enable=MODULE`
| Normally checks for all PyQt4 modules are enabled and are built if the corresponding Qt library can be found. Using this option only those modules specifically enabled will be checked for and built. The option may be specified any number of times.
`-t PLUGIN, --plugin=PLUGIN`
| If Qt has been built as static libraries then the static plugin `PLUGIN` will be linked with the appropriate PyQt module. The option may be specified any number of times.
`-q FILE, --qmake=FILE`
| Qt's `qmake` program is used to determine how your Qt installation is laid out. Normally `qmake` is found on your `PATH`. This option can be used to specify a particular instance of `qmake` to use. This option is not available on Windows.
`-s DIR, --dbus=DIR`
| The `dbus-python.h` header file of the dbus-python package can be found in the directory `DIR/dbus`.
`-b DIR, --bindir=DIR`
| The `pyuic4`, `pyrcc4` and `pylupdate4` utilities will be installed in the directory `DIR`.
`-d DIR, --destdir=DIR`
| The PyQt Python package will be installed in the directory `DIR`. The default is the Python installation's `site-packages` directory. If you use this option then the `PYTHONPATH` environment variable must include `DIR`.
`-p DIR, --plugin-destdir=DIR`
| The Qt Designer plugin that manages plugins implemented in Python will be installed in the `designer` subdirectory of the directory `DIR`.
`--no-designer-plugin`
| The Qt Designer plugin will not be built.
`--no-sip-files` | The `.sip` files for the PyQt modules will not be installed.
`-v DIR, --sipdir=DIR`
| The `.sip` files for the PyQt modules will be installed in the directory `DIR`.
`--use-arch=ARCH`
| When `pyuic4` calls the Python interpreter on MacOS it will be run using the architecture `ARCH`. See the section Configuring SIP and PyQt for MacOs 10.6 (Snow Leopard).
`--protected-is-public`
| On certain platforms the size of PyQt modules can be significantly reduced by redefining the C++ `protected` keyword as `public` during compilation. This option enables this behaviour and is the default on Linux and MacOS/X.
`--protected-not-public`
| The default redefinition of `protected` to `public` during compilation on Linux and MacOS/X is disabled.
`-i, --vendorid` | The checking of signed Python interpreters using the VendorID package is enabled. See also the `--vendorid-incdir` and `--vendorid-libdir` options and Deploying Commercial PyQt Applications.
`-l DIR, --vendorid-incdir=DIR`
| The header file of the VendorID package can be found in the directory `DIR`.
`-m DIR, --vendorid-libdir=DIR`
| The library of the VendorID package can be found in the directory `DIR`.
`-a, --qsci-api` | The `PyQt4.api` QScintilla API file is installed even if QScintilla does not appear to be installed. This option is implied if the `--qsci-api-destdir` option is specified.
`--no-qsci-api` | The `PyQt4.api` QScintilla API file is not installed even if QScintilla does appear to be installed.
`-n DIR, --qsci-api-destdir=DIR`
| The QScintilla API file will be installed in the `python` subdirectory of the `api` subdirectory of the directory ``DIR`.

## 3.4 Configuring SIP and PyQt for MacOS 10.6 (Snow Leopard)

With MacOS 10.6 the Python interpreter is built as a universal binary that supports the i386 and x86_64 architectures. (It also supports the ppc architecture but that isn't relevant.)

When building SIP and PyQt on a 64 bit system they will be built, by default, as x86_64 binaries. However, again by default, Qt builds as i386 binaries. (Note that the default is expected to change in Qt v4.7.) This means that, using the default configuration, PyQt will not build on a 64 bit system running MacOS 10.6 with a 32 bit build of Qt. Instead you have to make sure that SIP and PyQt are built as i386 binaries.

To configure SIP for i386 use the following command line options:

    python configure.py --arch i386

When PyQt is configured it will automatically pick up the correct architecture from SIP's configuration. However it is necessary to use the following command line option when configuring PyQt:

    python configure.py --use-arch i386

This tells the different PyQt tools that execute the Python interpreter (actually only `pyuic4` at present) to use the i386 architecture rather than the default x86_64. This ensures that the interpreter will be able to import the i386 PyQt modules.

The other aspect to consider is the version of the SDK to use. By default SIP will use the latest version it can find, probably `MacOSX10.6.sdk`. However the Qt binary installer is built with `MacOSX10.4u.sdk` so you will probably need to use the following command line option when configuring SIP:

    python configure.py --sdk MacOSX10.4u.sdk

## 3.5 Building PyQt

The next step is to build PyQt by running your platform's `make` command. For example:

    make

The final step is to install PyQt by running the following command:

    make install

(Depending on your system you may require root or administrator privileges.)

This will install the various PyQt components.

# 4 Selecting Incompatible APIs

PyQt provides limited support for multiple incompatible APIs and the ability for an application to select between them at run-time. For example, an application can choose whether `QString` is implemented as a Python type, or is automatically converted to and from a Python v2 unicode object or a Python v3 string object.

This ability allows developers to decide how to manage the transition from an older deprecated, API to a newer incompatible API.

Each API that can be selected in this way has a name and a range of version numbers. An application calls `sip.setapi()` to set the version number of a particular API. This call must be made before any module that implements the API is imported. Once set the version number cannot be changed. If not set then an API will use its default version.

For example the following code will disable the use of `QString`:

    import sip
    sip.setapi('QString', 2)

    from PyQt4 import QtCore

    # This will raise an attribute exception because QString is only wrapped
    # in version 1 of the API.
    s = QtCore.QString()

The rest of this section describes the different APIs that are available.

## 4.1 QDate

### 4.1.1 Version 2

This is the default for Python v3.

`__hash__()` returns a hash of the string representation so that two objects with the same date will have the same hash.

### 4.1.2 Version 1

This is the default for Python v2.

`__hash__()` returns an object's `id()` so that two objects with the same date will have different hashes.

## 4.2 QDateTime

### 4.2.1 Version 2

This is the default for Python v3.

`__hash__()` returns a hash of the string representation so that two objects with the same date and time will have the same hash.

### 4.2.2 Version 1

This is the default for Python v2.

`__hash__()` returns an object's `id()` so that two objects with the same date and time will have different hashes.

## 4.3 QString

### 4.3.1 Version 2

This is the default for Python v3.

The `QString` class is implemented as a mapped type that is automatically converted to and from a Python string. In addition a None is converted to a null `QString`. However, a null `QString` is converted to an empty Python string (and not `None`). (This is because Qt often returns a null `QString` when it should probably return an empty `QString`.)

The `QChar` and `QStringRef` classes are implemented as mapped types that are automatically converted to and from Python strings.

The `QStringList` class is implemented as a mapped type that is automatically converted to and from Python lists of strings.

The `QLatin1Char`, `QLatin1String` and `QStringMatcher` classes are not implemented.

The following Qt calls are not wrapped because they expect `QString` to be mutable:

    void QTextDecoder::toUnicode(QString *target, const char *chars, int len)

    QTextStream::QTextStream(QString *string, QIODevice::OpenMode openMode = QIODevice::ReadWrite)
    void QTextStream::setString(QString *string, QIODevice::OpenMode openMode = QIODevice::ReadWrite)
    QString *QTextStream::string()
    QTextStream &operator>>(QChar &c)
    QTextStream &operator>>(QString &s)

    QXmlStreamWriter::QXmlStreamWriter(QString *string)

Some PyQt calls have changed Python signatures to avoid the need for mutable strings. The new signatures are as follows:

    QAbstractSpinBox.fixup(str input) -> str
    QAbstractSpinBox.validate(str input, int pos) -> QValidator.State, str, int

    QDateTimeEdit.fixup(str input) -> str
    QDateTimeEdit.validate(str input, int pos) -> QValidator.State, str, int

    QDoubleSpinBox.fixup(str input) -> str
    QDoubleSpinBox.validate(str input, int pos) -> QValidator.State, str, int

    QDoubleValidator.validate(str input, int pos) -> QValidator.State, str, int

    QClipboard.text(str subtype, QClipboard.Mode mode=QClipboard.Clipboard) -> str, str

    QFileDialog.getOpenFileName(QWidget parent=None, str caption=None, str dir=None, str filter=None, QFileDialog.Options options=0) -> str
    QFileDialog.getOpenFileNames(QWidget parent=None, str caption=None, str dir=None, str filter=None, QFileDialog.Options options=0) -> list(str)
    QFileDialog.getSaveFileName(QWidget parent=None, str caption=None, str dir=None, str filter=None, QFileDialog.Options options=0) -> str

    QIntValidator.validate(str input, int pos) -> QValidator.State, str, int

    QRegExpValidator.validate(str input, int pos) -> QValidator.State, str, int

    QSpinBox.fixup(str input) -> str
    QSpinBox.validate(str input, int pos) -> QValidator.State, str, int

    QValidator.fixup(str input) -> str
    QValidator.validate(str input, int pos) -> QValidator.State, str, int

    QWebPage.javaScriptPrompt(QWebFrame originatingFrame, str msg, str defaultValue) -> bool, str

The static methods `getOpenFileNameAndFilter()`, `getOpenFileNamesAndFilter()` and `getSaveFileNameAndFilter()` have been added to `QFileDialog` (for version 1 and version 2) which return a tuple of the name(s) and the selected filter.

The methods `widthChar()` and `boundingRectChar()` have been added to `QFontMetrics` and `QFontMetricsF` which accept a Python string of length one and call the C++ `width()` and `boundingRect()` methods passing the character as a `QChar` (rather than a single character `QString`).

### 4.3.2 Version 1

This is the default for Python v2.

The `QChar`, `QLatin1Char`, `QLatin1String`, `QString`, `QStringList`, `QStringMatcher` and `QStringRef` classes are implemented as normal types.

## 4.4 QTextStream

### 4.4.1 Version 2

This is the default for Python v3.

The C++ functions `bin()`, `hex()` and `oct()` are named `bin_()`, `hex_()` and `oct_()` respectively in Python. This allows the import style `from PyQt4.QtCore import *` to be used without them clashing with the Python built-in functions with the same names.

### 4.4.2 Version 1

This is the default for Python v2.

The C++ functions `bin()`, `hex()` and `oct()` have the same names in Python. This causes problems when the import style `from PyQt4.QtCore import *` is used because they clash with the Python built-in functions with the same names.

## 4.5 QTime

### 4.5.1 Version 2

This is the default for Python v3.

`__hash__()` returns a hash of the string representation so that two objects with the same time will have the same hash.

### 4.5.2 Version 1

This is the default for Python v2.

`__hash__()` returns an object's `id()` so that two objects with the same time will have different hashes.

## 4.6 QUrl

### 4.6.1 Version 2

This is the default for Python v3.

`__hash__()` returns a hash of the string representation so that two objects with the same URL will have the same hash.

### 4.6.2 Version 1

This is the default for Python v2.

`__hash__()` returns an object's `id()` so that two objects with the same URL will have different hashes.

## 4.7 QVariant

### 4.7.1 Version 2

This is the default for Python v3.

The `QVariant` class is implemented as a mapped type. Any Python object can be passed when a `QVariant` instance is expected. When Qt returns a `QVariant` then it will automatically be converted to the original Python object or an equivalent. `None` is interpreted as an invalid `QVariant` and vice versa.

### 4.7.2 Version 1

This is the default for Python v2.

The `QVariant` class is implememted as a normal type. Any Python object can be passed when a `QVariant` instance is expected and `None` is interpreted as an invalid `QVariant`. However, when Qt returns a `QVariant` then it must be explicitly converted to the original Python object or an equivalent by calling its `toPyObject()` method.

# 5 Support for Keyword Arguments

Starting with v4.7 PyQt supports the use of keyword arguments for optional arguments.

One thing to be aware of is that, although the PyQt and Qt documentation may indicate that an argument has a particular name, you may find that PyQt actually uses a different name. This is because the name of an argument is not part of the Qt API and there is some inconsistency in the way that similar arguments are named. Different versions of Qt may use a different name for an argument which wouldn't affect the C++ API but would break the Python API.

The docstrings that PyQt generates for all classes, functions and methods will contain the correct argument names. In a future version of PyQt the documentation will also contain the correct argument names.

# 6 Support for Qt Properties

PyQt does not support the setting and getting of Qt properties as if they were normal instance attributes. This is because the name of a property often conflicts with the name of the property's getter method.

However, PyQt does support the initial setting of properties using keyword arguments passed when an instance is created. For example:

    act = QtGui.QAction("&Save", self, shortcut=QtGui.QKeySequence.Save,
            statusTip="Save the document to disk", triggered=self.save)

The example also demonstrates the use of a keyword argument to connect a signal to a slot.

PyQt also supports setting the values of properties (and connecting a signal to a slot) using the `pyqtConfigure()` method of `QObject`. For example, the following gives the same results as above:

    act = QtGui.QAction("&Save", self)
    act.pyqtConfigure(shortcut=QtGui.QKeySequence.Save,
            statusTip="Save the document to disk", triggered=self.save)

# 7 New-style Signal and Slot Support

This section describes the new style of connecting signals and slots introduced in PyQt v4.5.

One of the key features of Qt is its use of signals and slots to communicate between objects. Their use encourages the development of reusable components.

A signal is emitted when something of potential interest happens. A slot is a Python callable. If a signal is connected to a slot then the slot is called when the signal is emitted. If a signal isn't connected then nothing happens. The code (or component) that emits the signal does not know or care if the signal is being used.

The signal/slot mechanism has the following features.

- A signal may be connected to many slots.
- A signal may also be connected to another signal.
- Signal arguments may be any Python type.
- A slot may be connected to many signals.
- Connections may be direct (ie. synchronous) or queued (ie. asynchronous).
- Connections may be made across threads.
- Signals may be disconnected.

## 7.1 Unbound and Bound Signals

A signal (specifically an unbound signal) is an attribute of a class that is a sub-class of `QObject`. When a signal is referenced as an attribute of an instance of the class then PyQt automatically binds the instance to the signal in order to create a bound signal. This is the same mechanism that Python itself uses to create bound methods from class functions.

A bound signal has `connect()`, `disconnect()` and `emit()` methods that implement the associated functionality.

A signal may be overloaded, ie. a signal with a particular name may support more than one signature. A bound signal may be indexed with a signature in order to select the one required. A signature is a sequence of types. A type is either a Python type object or a string that is the name of a C++ type.

If a signal is overloaded then it will have a default that will be used if no index is given.

When a signal is emitted then any arguments are converted to C++ types if possible. If an argument doesn't have a corresponding C++ type then it is wrapped in a special C++ type that allows it to be passed around Qt's meta-type system while ensuring that its reference count is properly maintained.

## 7.2 Defining New Signals with `QtCore.pyqtSignal()`

PyQt automatically defines signals for all Qt's built-in signals. New signals can be defined as class attributes using the `QtCore.pyqtSignal()` factory.

`QtCore.pyqtSignal()` takes a number of type arguments that corresponds to the signature of the signal. Each type may be a Python type object or a string that is the name of a C++ type. Alternatively each argument could be a sequence of type arguments. In this case each sequence defines the signature of a different signal overload. The first overload will be the default.

`QtCore.pyqtSignal()` takes an optional name keyword argument that is the name of the signal. If it is omitted then the name of the class attribute is used.

The following example shows the definition of a number of new signals:

    from PyQt4 import QtCore

    class Foo(QtCore.QObject):

        # This defines a signal called 'closed' that takes no arguments.
        closed = QtCore.pyqtSignal()

        # This defines a signal called 'rangeChanged' that takes two
        # integer arguments.
        range_changed = QtCore.pyqtSignal(int, int, name='rangeChanged')

        # This defines a signal called 'valueChanged' that has two overloads,
        # one that takes an integer argument and one that takes a QString
        # argument.
        valueChanged = QtCore.pyqtSignal((int, ), (QtCore.QString, ))

        # The following will create exactly the same overloaded signal as
        # above and demonstrates the use of C++ type names instead of Python
        # type objects, and lists instead of tuples.
        valueChanged = QtCore.pyqtSignal(['int'], ['QString'])

New signals should only be defined in sub-classes of `QObject`.

New signals defined in this way will be automatically added to the class's `QMetaObject`. This means that they will appear in Qt Designer and can be introspected using the `QMetaObject` API.

## 7.3 Connecting, Disconnecting and Emitting Signals

Signals are connected to slots using the `connect()` method of a bound signal:

    connect(slot[, type=PyQt4.QtCore.Qt.AutoConnection])

        *slot* may be either a Python callable or another bound signal.

        *type* is a QtCore.Qt.ConnectionType value.

Signals are disconnected from slots using the `disconnect()` method of a bound signal:

    disconnect([slot])

        *slot* may be either a Python callable or a another bound signal.  If
        slot is omitted then all slots connected to the signal are
        disconnected.

Signals are emitted from using the `emit()` method of a bound signal:

    emit(*args)

        *args* is the optional sequence of arguments to pass to any connected
        slots.

The following code demonstrates the definition, connection and emit of a signal without arguments:

    from PyQt4 import QtCore

    class Foo(QtCore.QObject):

        # Define a new signal called 'trigger' that has no arguments.
        trigger = QtCore.pyqtSignal()

        def connect_and_emit_trigger(self):
            # Connect the trigger signal to a slot.
            self.trigger.connect(self.handle_trigger)

            # Emit the signal.
            self.trigger.emit()

        def handle_trigger(self):
            # Show that the slot has been called.

            print "trigger signal received"

The following code demonstrates the connection of overloaded signals:

    from PyQt4 import QtGui

    class Bar(QtGui.QComboBox):

        def connect_activated(self):
            # The PyQt documentation will define what the default overload is.
            # In this case it is the overload with the single integer argument.
            self.activated.connect(self.handle_int)

            # For non-default overloads we have to specify which we want to
            # connect.  In this case the one with the single string argument.
            # (Note that we could also explicitly specify the default if we
            # wanted to.)
            self.activated[str].connect(self.handle_string)

        def handle_int(self, index):
            print "activated signal passed integer", index

        def handle_string(self, text):
            print "activated signal passed QString", text

## 7.4 Connecting Signals Using Keyword Arguments

It is also possible to connect signals by passing a slot as a keyword argument corresponding to the name of the signal when creating an object, or using the `pyqtConfigure()` method of `QObject`. For example the following three fragments are equivalent:

    act = QtGui.QAction("Action", self)
    act.triggered.connect(self.on_triggered)

    act = QtGui.QAction("Action", self, triggered=self.on_triggered)

    act = QtGui.QAction("Action", self)
    act.pyqtConfigure(triggered=self.on_triggered)

## 7.5 The `QtCore.pyqtSlot()` Decorator

Although PyQt allows any Python callable to be used as a slot when connecting signals, it is sometimes necessary to explicitly mark a Python method as being a Qt slot and to provide a C++ signature for it. PyQt provides the `QtCore.pyqtSlot()` function decorator to do this.

Using the decorator also has the advantage of reducing the amount of memory used and is slightly faster.

All of the non-keyword arguments to the decorator are interpreted as the types of the corresponding C++ arguments. A type is either a Python type object or a string that specifies a C++ type. The decorator also takes two optional keywords arguments: `name` and `result`. `name` is the name of the slot that will be seen by C++. If ommitted the name of the Python method being decorated will be used. `result` is the type of the result and may also be a Python type object or a string that specifies a C++ type.

For example:

    @QtCore.pyqtSlot()
    def foo(self):
        """ C++: void foo() """

    @QtCore.pyqtSlot(int, str)
    def foo(self, arg1, arg2):
        """ C++: void foo(int, QString) """

    @QtCore.pyqtSlot(int, name='bar')
    def foo(self, arg1):
        """ C++: void bar(int) """

    @QtCore.pyqtSlot(int, result=int)
    def foo(self, arg1):
        """ C++: int foo(int) """

    @QtCore.pyqtSlot(int, QtGui.QWidget)
    def foo(self, arg1):
        """ C++: int foo(int, QWidget *) """

It is also possible to chain the decorators in order to define a Python method several times with different signatures.

For example:

    @QtCore.pyqtSlot(int)
    @QtCore.pyqtSlot('QString')
    def valueChanged(self, value):
        """ Two slots will be defined in the QMetaObject. """

## 7.6 Connecting Slots By Name

PyQt supports the `QtCore.QMetaObject.connectSlotsByName()` function that is most commonly used by pyuic4 generated Python code to automatically connect signals to slots that conform to a simple naming convention. However, where a class has overloaded Qt signals (ie. with the same name but with different arguments) PyQt needs additional information in order to automatically connect the correct signal.

For example the `QtGui.QSpinBox` class has the following signals:

    void valueChanged(int i);
    void valueChanged(const QString &text);

When the value of the spin box changes both of these signals will be emitted. If you have implemented a slot called `on_spinbox_valueChanged` (which assumes that you have given the `QSpinBox` instance the name `spinbox`) then it will be connected to both variations of the signal. Therefore, when the user changes the value, your slot will be called twice - once with an integer argument, and once with a unicode or `QString` argument.

This also happens with signals that take optional arguments. Qt implements this using multiple signals. For example, `QtGui.QAbstractButton` has the following signal:

    void clicked(bool checked = false);

Qt implements this as the following:

    void clicked();
    void clicked(bool checked);

The decorator can be used to specify which of the signals should be connected to the slot.

For example, if you were only interested in the integer variant of the signal then your slot definition would look like the following:

    @QtCore.pyqtSlot(int)
    def on_spinbox_valueChanged(self, i):
        # i will be an integer.
        pass

If you wanted to handle both variants of the signal, but with different Python methods, then your slot definitions might look like the following:

    @QtCore.pyqtSlot(int, name='on_spinbox_valueChanged')
    def spinbox_int_value(self, i):
        # i will be an integer.
        pass

    @QtCore.pyqtSlot(str, name='on_spinbox_valueChanged')
    def spinbox_qstring_value(self, s):
        # s will be a Python string object (or a QString if they are enabled).
        pass

The following shows an example using a button when you are not interested in the optional argument:

    @QtCore.pyqtSlot()
    def on_button_clicked(self):
        pass

# 8 Old-style Signal and Slot Support

This section describes the older style for connecting signals and slots. It uses the same API that a C++ application would use. This has a number of advantages.

- It is well understood and documented.
- Any future changes to the C++ API should be easily included.

It also has a number of disadvantages.

- It requires knowledge of the C++ types of signal arguments.
- It is error prone in that if you mis-type the signal name or signature then no exception is raised, either when the signal is connected or emitted.
- It is verbose.
- It is not Pythonic.

This older style of connecting signals and slots will continue to be supported throughout the life of PyQt v4.

## 8.1 PyQt Signals and Qt Signals

Qt signals are statically defined as part of a C++ class. They are referenced using the `QtCore.SIGNAL()` function. This method takes a single string argument that is the name of the signal and its C++ signature. For example:

    QtCore.SIGNAL("finished(int)")

The returned value is normally passed to the `QtCore.QObject.connect()` method.

PyQt allows new signals to be defined dynamically. The act of emitting a PyQt signal implicitly defines it. PyQt v4 signals are also referenced using the `QtCore.SIGNAL()` function.

## 8.2 The `PyQt_PyObject` Signal Argument Type

It is possible to pass any Python object as a signal argument by specifying `PyQt_PyObject` as the type of the argument in the signature. For example:

    QtCore.SIGNAL("finished(PyQt_PyObject)")

While this would normally be used for passing objects like lists and dictionaries as signal arguments, it can be used for any Python type. Its advantage when passing, for example, an integer is that the normal conversions from a Python object to a C++ integer and back again are not required.

The reference count of the object being passed is maintained automatically. There is no need for the emitter of a signal to keep a reference to the object after the call to `QtCore.QObject.emit()`, even if a connection is queued.

## 8.3 Short-circuit Signals

There is also a special form of a PyQt v4 signal known as a short-circuit signal. Short-circut signals implicitly declare each argument as being of type `PyQt_PyObject`.

Short-circuit signals do not have a list of arguments or the surrounding parentheses.

Short-circuit signals may only be connected to slots that have been implemented in Python. They cannot be connected to Qt slots or the Python callables that wrap Qt slots.

## 8.4 PyQt Slots and Qt Slots

Qt slots are statically defined as part of a C++ class. They are referenced using the `QtCore.SLOT()` function. This method takes a single string argument that is the name of the slot and its C++ signature. For example:

    QtCore.SLOT("done(int)")

The returned value is normally passed to the `QtCore.QObject.connect()` method.

PyQt allows any Python callable to be used as a slot, not just Qt slots. This is done by simply referencing the callable. Because Qt slots are implemented as class methods they are also available as Python callables. Therefore it is not usually necessary to use `QtCore.SLOT()` for Qt slots. However, doing so is more efficient as it avoids a conversion to Python and back to C++.

Qt allows a signal to be connected to a slot that requires fewer arguments than the signal passes. The extra arguments are quietly discarded. PyQt slots can be used in the same way.

Note that when a slot is a Python callable its reference count is not increased. This means that a class instance can be deleted without having to explicitly disconnect any signals connected to its methods. However, if a slot is a lambda function or a partial function then its reference count is automatically incremented to prevent it from being immediately garbage collected.

## 8.5 Connecting Signals and Slots

Connections between signals and slots (and other signals) are made using the `QtCore.QObject.connect()` method. For example:

    QtCore.QObject.connect(a, QtCore.SIGNAL("QtSig()"), pyFunction)
    QtCore.QObject.connect(a, QtCore.SIGNAL("QtSig()"), pyClass.pyMethod)
    QtCore.QObject.connect(a, QtCore.SIGNAL("QtSig()"), b, QtCore.SLOT("QtSlot()"))
    QtCore.QObject.connect(a, QtCore.SIGNAL("PySig()"), b, QtCore.SLOT("QtSlot()"))
    QtCore.QObject.connect(a, QtCore.SIGNAL("PySig"), pyFunction)

Disconnecting signals works in exactly the same way using the `QtCore.QObject.disconnect()` method. However, not all the variations of that method are supported by PyQt. Signals must be disconnected one at a time.

## 8.6 Emitting Signals

Any instance of a class that is derived from the `QtCore.QObject` class can emit a signal using its `emit()` method. This takes a minimum of one argument which is the signal. Any other arguments are passed to the connected slots as the signal arguments. For example:

    a.emit(QtCore.SIGNAL("clicked()"))
    a.emit(QtCore.SIGNAL("pySig"), "Hello", "World")

## 8.7 The `QtCore.pyqtSignature()` Decorator

The `QtCore.pyqtSignature()` serves the same purpose as the `QtCore.pyqtSlot()` decorator but has a less Pythonic API.

# 9 Python Objects and QVariant

Qt uses the `QVariant` class as a wrapper for any C++ data type. PyQt allows any Python object to be wrapped as a `QVariant` and passed around Qt's meta-object system like any other type.

PyQt will try to convert the Python object to a C++ equivalent if it can so that the `QVariant` can be passed to other C++ code that doesn't know what a Python object is.

Version 2 of PyQt's `QVariant` API will automatically convert a `QVariant` back to a Python object of the correct type.

Version 1 of the `QVariant` API provides the `QVariant.toPyObject()` method to convert the `QVariant` back to a Python object of the correct type.

Both versions will raise a Python exception if the conversion cannot be done.

# 10 Integrating Python and QML

Qt v4.7 introduced QML as a means of declaratively describing a user interface and using JavaScript as a scripting language within QML. It is possible to write complete standalone QML applications, or to combine them with C++.

PyQt supports the integration of Python and QML as far as it can - given the limitations of the QML implementation.

There are three types of QML application:

- Pure applications that are written entirely in QML and can be run using the `qmlviewer` tool provided with Qt. PyQt fully supports this type of application. The examples provided by `qtdemo.py` under the Qt Declarative Examples heading are all of this type.
- QML allows `QObject` instances to be used in QML applications. QML code is able to call an object's slots and has read and write access to the object's properties. QML code can also respond to changes to the value of a property. PyQt fully supports the use objects created in Python in this way. The `minehunt.py` example under the Demonstrations heading of `qtdemo.py` is an example of this type of application.
- QML also allows `QObject` sub-classes to be used in QML applications so that new instances are created from QML. PyQt does not support this. The reason is that QML uses information generated at compile time (specifically it uses `QObject::staticMetaObject`) rather than information created dynamically at run time (i.e. `QObject::metaObject()`). This approach is fine for a static language like C++ but causes problems for languages such as Python that allow types to created dynamically. This limitation doesn't place any restriction on the functionality of a Python/QML application, it only places restrictions on how that application is written.

# 11 Integrating Python and JavaScript in QtWebKit

QtWebKit uses slots to expose class methods implemented in C++ as JavaScript methods that can be called from scripts embedded in HTML. Python class methods that have been decorated behave in exactly the same way.

In the same way, properties created using `QtCore.pyqtProperty()` are also automatically exposed as JavaScript properties.

# 12 Support for Pickling

The following PyQt classes may be pickled.

> - QByteArray
> - QChar
> - QColor
> - QDate
> - QDateTime
> - QKeySequence
> - QLatin1Char
> - QLatin1String
> - QLine
> - QLineF
> - QMatrix
> - QPoint
> - QPointF
> - QPolygon
> - QRect
> - QRectF
> - QSize
> - QSizeF
> - QString
> - QTime

Also all named enums (`QtCore.Qt.Key` for example) may be pickled.

# 13 Support for Python's Buffer Interface

If SIP v4.7.5 or later is used then any Python object that supports the buffer interface can be used whenever a `char` or `char *` is expected. If the buffer has multiple segments then all but the first will be ignored.

# 14 Using PyQt from the Python Shell

PyQt installs an input hook (using `PyOS_InputHook`) that processes events when an interactive interpreter is waiting for user input. This means that you can, for example, create widgets from the Python shell prompt, interact with them, and still being able to enter other Python commands.

For example, if you enter the following in the Python shell:

    >>> from PyQt4 import QtGui
    >>> a = QtGui.QApplication([])
    >>> w = QtGui.QWidget()
    >>> w.show()
    >>> w.hide()
    >>>

The widget would be displayed when `w.show()` was entered amd hidden as soon as `w.hide()` was entered.

The installation of an input hook can cause problems for certain applications (particularly those that implement a similar feature using different means). The `QtCore` module contains the `pyqtRemoveInputHook()` and `pyqtRestoreInputHook()` functions that remove and restore the input hook respectively.

# 15 Using Qt Designer

Qt Designer is the Qt tool for designing and building graphical user interfaces. It allows you to design widgets, dialogs or complete main windows using on-screen forms and a simple drag-and-drop interface. It has the ability to preview your designs to ensure they work as you intended, and to allow you to prototype them with your users, before you have to write any code.

Qt Designer uses XML `.ui` files to store designs and does not generate any code itself. Qt includes the `uic` utility that generates the C++ code that creates the user interface. Qt also includes the `QUiLoader` class that allows an application to load a `.ui` file and to create the corresponding user interface dynamically.

PyQt does not wrap the `QUiLoader` class but instead includes the `uic` Python module. Like `QUiLoader` this module can load `.ui` files to create a user interface dynamically. Like the `uic` utility it can also generate the Python code that will create the user interface. PyQt's `pyuic4` utility is a command line interface to the `uic` module. Both are described in detail in the following sections.

## 15.1 Using the Generated Code

The code that is generated has an identical structure to that generated by Qt's `uic` and can be used in the same way.

The code is structured as a single class that is derived from the Python `object` type. The name of the class is the name of the toplevel object set in Designer with `Ui_` prepended. (In the C++ version the class is defined in the `Ui` namespace.) We refer to this class as the form class.

The class contains a method called `setupUi()`. This takes a single argument which is the widget in which the user interface is created. The type of this argument (typically `QDialog`, `QWidget` or `QMainWindow`) is set in Designer. We refer to this type as the Qt base class.

In the following examples we assume that a `.ui` file has been created containing a dialog and the name of the `QDialog` object is `ImageDialog`. We also assume that the name of the file containing the generated Python code is `ui_imagedialog.py`. The generated code can then be used in a number of ways.

The first example shows the direct approach where we simply create a simple application to create the dialog:

    import sys
    from PyQt4 import QtGui
    from ui_imagedialog import Ui_ImageDialog

    app = QtGui.QApplication(sys.argv)
    window = QtGui.QDialog()
    ui = Ui_ImageDialog()
    ui.setupUi(window)

    window.show()
    sys.exit(app.exec_())

The second example shows the single inheritance approach where we sub-class `QDialog` and set up the user interface in the `__init__()` method:

    from PyQt4 import QtCore, QtGui
    from ui_imagedialog import Ui_ImageDialog

    class ImageDialog(QtGui.QDialog):
        def __init__(self):
            QtGui.QDialog.__init__(self)

            # Set up the user interface from Designer.
            self.ui = Ui_ImageDialog()
            self.ui.setupUi(self)

            # Make some local modifications.
            self.ui.colorDepthCombo.addItem("2 colors (1 bit per pixel)")

            # Connect up the buttons.
            self.connect(self.ui.okButton, QtCore.SIGNAL("clicked()"),
                         self, QtCore.SLOT("accept()"))
            self.connect(self.ui.cancelButton, QtCore.SIGNAL("clicked()"),
                         self, QtCore.SLOT("reject()"))

The third example shows the multiple inheritance approach:

    from PyQt4 import QtCore, QtGui
    from ui_imagedialog import Ui_ImageDialog

    class ImageDialog(QtGui.QDialog, Ui_ImageDialog):
        def __init__(self):
            QtGui.QDialog.__init__(self)

            # Set up the user interface from Designer.
            self.setupUi(self)

            # Make some local modifications.
            self.colorDepthCombo.addItem("2 colors (1 bit per pixel)")

            # Connect up the buttons.
            self.connect(self.okButton, QtCore.SIGNAL("clicked()"),
                         self, QtCore.SLOT("accept()"))
            self.connect(self.cancelButton, QtCore.SIGNAL("clicked()"),
                         self, QtCore.SLOT("reject()"))

It is also possible to use the same approach used in PyQt v3. This is shown in the final example:

    from PyQt4 import QtCore, QtGui
    from ui_imagedialog import ImageDialog

    class MyImageDialog(ImageDialog):
        def __init__(self):
            ImageDialog.__init__(self)

            # Make some local modifications.
            self.colorDepthCombo.addItem("2 colors (1 bit per pixel)")

            # Connect up the buttons.
            self.connect(self.okButton, QtCore.SIGNAL("clicked()"),
                         self, QtCore.SLOT("accept()"))
            self.connect(self.cancelButton, QtCore.SIGNAL("clicked()"),
                         self, QtCore.SLOT("reject()"))

For a full description see the Qt Designer Manual in the Qt Documentation.

## 15.2 The `uic` Module

The `uic` module contains the following functions and objects.

widgetPluginPath
  This is a list of the directories that are searched for widget plugins. Initially it contains the name of the directory that contains the widget plugins included with PyQt.
compileUi(uifile, pyfile, execute=False, indent=4, pyqt3_wrapper=False, from_imports=False)

  This function generates a Python module that will create a user interface from a Qt Designer `.ui` file.

  `uifile` is a file name or file-like object containing the `.ui` file.

  `pyfile` is the file-like object to which the generated Python code will be written to.

  `execute` is optionally set if a small amount of additional code is to be generated that will display the user interface if the code is run as a standalone application.

  `indent` is the optional number of spaces used for indentation in the generated code. If it is zero then a tab character is used instead.

  `pyqt3_wrapper` is optionally set if a small wrapper is to be generated that allows the generated code to be used as it is by PyQt v3 applications.

  `from_imports` is optionally set to generate import statements that are relative to `'.'`. At the moment this only applies to the import of resource modules.

compileUiDir(dir, recurse=False, map=None, **compileUi_args)

  This function creates Python modules from Qt Designer `.ui` files in a directory or directory tree.

  `dir` is the name of the directory to scan for files whose name ends with `.ui`. By default the generated Python module is created in the same directory ending with `.py`.

  `recurse` is set if any sub-directories should be scanned.

  `map` is an optional callable that is passed the name of the directory containing the `.ui` file and the name of the Python module that will be created. The callable should return a tuple of the name of the directory in which the Python module will be created and the (possibly modified) name of the module.

  `compileUi_args` are any additional keyword arguments that are passed to the `compileUi()` function that is called to create each Python module.

loadUiType(uifile, from_imports=False)

  This function loads a Qt Designer `.ui` file and returns a tuple of the generated form class and the Qt base class. These can then be used to create any number of instances of the user interface without having to parse the `.ui` file more than once.

  `uifile` is a file name or file-like object containing the `.ui` file.

  `from_imports` is optionally set to use import statements that are relative to `'.'`. At the moment this only applies to the import of resource modules.

loadUi(uifile, baseinstance=None)

  This function loads a Qt Designer `.ui` file and returns an instance of the user interface.

  `uifile` is a file name or file-like object containing the `.ui` file.

  `baseinstance` is an optional instance of the Qt base class. If specified then the user interface is created in it. Otherwise a new instance of the base class is automatically created.

## 15.3 pyuic4

The `pyuic4` utility is a command line interface to the `uic` module. The command has the following syntax:

    pyuic4 [options] .ui-file

The full set of command line options is:

`-h, --help` | A help message is written to `stdout`.
`--version` | The version number is written to `stdout`.
`-i N, --indent=N`
| The Python code is generated using an indentation of N spaces. If N is 0 then a tab is used. The default is 4.
`-o FILE, --output=FILE`
| The Python code generated is written to the file FILE.
`-p, --preview` | The GUI is created dynamically and displayed. No Python code is generated.
`-w, --pyqt3-wrapper`
| The generated Python code includes a small wrapper that allows the GUI to be used in the same way as it is used in PyQt v3.
`-x, --execute` | The generated Python code includes a small amount of additional code that creates and displays the GUI when it is executes as a standalone application.
`--from-imports` | Resource modules are imported using `from . import` rather than a simple `import`.

Note that code generated by `pyuic4` is not guaranteed to be compatible with earlier versions of PyQt. However, it is guaranteed to be compatible with later versions. If you have no control over the version of PyQt the users of your application are using then you should run `pyuic4`, or call `PyQt4.uic.compileUi()`, as part of your installation process. Another alternative would be to distribute the `.ui` files (perhaps as part of a resource file) and have your application load them dynamically.

## 15.4 Writing Qt Designer Plugins

Qt Designer can be extended by writing plugins. Normally this is done using C++ but PyQt also allows you to write plugins in Python. Most of the time a plugin is used to expose a custom widget to Designer so that it appears in Designer's widget box just like any other widget. It is possibe to change the widget's properties and to connect its signals and slots.

It is also possible to add new functionality to Designer. See the Qt documentation for the full details. Here we will concentrate on describing how to write custom widgets in Python.

The process of integrating Python custom widgets with Designer is very similar to that used with widget written using C++. However, there are particular issues that have to be addressed.

> - Designer needs to have a C++ plugin that conforms to the interface defined by the `QDesignerCustomWidgetInterface` class. (If the plugin exposes more than one custom widget then it must conform to the interface defined by the `QDesignerCustomWidgetCollectionInterface` class.) In addition the plugin class must sub-class `QObject` as well as the interface class. PyQt does not allow Python classes to be sub-classed from more than one Qt class.
> - Designer can only connect Qt signals and slots. It has no understanding of Python signals or callables.
> - Designer can only edit Qt properties that represent C++ types. It has no understanding of Python attributes or Python types.

PyQt provides the following components and features to resolve these issues as simply as possible.

> - PyQt's QtDesigner module includes additional classes (all of which have a `QPy` prefix) that are already sub-classed from the necessary Qt classes. This avoids the need to sub-class from more than one Qt class in Python. For example, where a C++ custom widget plugin would sub-class from `QObject` and `QDesignerCustomWidgetInterface`, a Python custom widget plugin would instead sub-class from `QPyDesignerCustomWidgetPlugin`.

> - PyQt installs a C++ plugin in Designer's plugin directory. It conforms to the interface defined by the `QDesignerCustomWidgetCollectionInterface` class. It searches a configurable set of directories looking for Python plugins that implement a class sub-classed from `QPyDesignerCustomWidgetPlugin`. Each class that is found is instantiated and the instance created is added to the custom widget collection.

>   The `PYQTDESIGNERPATH` environment variable specifies the set of directories to search for plugins. Directory names are separated by a path separator (a semi-colon on Windows and a colon on other platforms). If a directory name is empty (ie. there are consecutive path separators or a leading or trailing path separator) then a set of default directories is automatically inserted at that point. The default directories are the `python` subdirectory of each directory that Designer searches for its own plugins. If the environment variable is not set then only the default directories are searched. If a file's basename does not end with `plugin` then it is ignored.

> - A Python custom widget may define new Qt signals using `QtCore.pyqtSignal()`.

> - A Python class method may be defined as a new Qt slot by using the `QtCore.pyqtSlot` decorator. For example:

>       # Define a Qt slot that takes a C++ integer argument.
>       @QtCore.pyqtSlot(int, name='addToTotal')
>       def add_int_to_total(self, value):
>           pass

>       # Define a similar slot that takes its name from the method.
>       @QtCore.pyqtSlot(int)
>       def addToTotal(self, value):
>           pass

> - A new Qt property may be defined using the `QtCore.pyqtProperty()` function. It is used in the same way as the standard Python `property()` function. In fact, Qt properties defined in this way also behave as Python properties. The full signature of the function is as follows:

>       pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None, designable=True, scriptable=True, stored=True, user=False, constant=False, final=False, notify=None)

>   `type` is the type of the property. It is either a Python type object or a string that is the name of a C++ type. `freset` is a function used to reset the value of the property to its default value. `designable` sets the Qt DESIGNABLE flag. `scriptable` sets the Qt SCRIPTABLE flag. `stored` sets the Qt STORED flag. `user` sets the Qt USER flag. `constant` sets the Qt CONSTANT flag. `final` sets the Qt FINAL flag. `notify` is the notify signal.

>   The remaining arguments are the same as those used by the standard `property()` function.

>   Qt makes no use of the `fdel` function and Python makes no use of the `freset` function, or the `designable`, `scriptable`, `stored`, `user`, `constant` and `final` flags.

>   It is also possible to use `QtCore.pyqtProperty()` as a decorator in the same way as the standard Python `property()` function. The following example shows how to define an `int` property with a getter and setter:

>       @QtCore.pyqtProperty(int)
>       def total(self):
>           return self._total

>       @total.setter
>       def total(self, value):
>           self._total = value

>   If you prefer the Qt terminology you may also use `write` instead of `setter` (and `read` instead of `getter`).

Note that the ability to define new Qt signals, slots and properties from Python is potentially useful to plugins conforming to any plugin interface and not just that used by Designer.

For a simple but complete and fully documented example of a custom widget that defines new Qt signals, slots and properties, and its plugin, look in the `examples/designer/plugins` directory of the PyQt source package. The `widgets` subdirectory contains the `pydemo.py` custom widget and the `python` subdirectory contains its `pydemoplugin.py` plugin.

# 16 The PyQt Resource System

PyQt supports Qt's resource system. This is a facility for embedding resources such as icons and translation files in an application. This makes the packaging and distribution of those resources much easier.

A `.qrc` resource collection file is an XML file used to specify which resource files are to be embedded. The application then refers to the resource files by their original names but preceded by a colon.

For a full description, including the format of the `.qrc` files, see the Qt Resource System in the Qt documentation.

## 16.1 pyrcc4

`pyrcc4` is PyQt's equivalent to Qt's `rcc` utility and is used in exactly the same way. `pyrcc4` reads the `.qrc` file, and the resource files, and generates a Python module that only needs to be `import` ed by the application in order for those resources to be made available just as if they were the original files.

Starting with PyQt v4.5, `pyrcc` generates code for Python v2.6 and later by default. If you use the `-py2` command line option then `pyrcc` will generate code for all Python v2.x versions.

pyrcc4 will only be included if your copy of Qt includes the XML module.

# 17 Internationalisation of PyQt Applications

PyQt and Qt include a comprehensive set of tools for translating applications into local languages. For a full description, see the Qt Linguist Manual in the Qt documentation.

The process of internationalising an application comprises the following steps.

> - The programmer uses pylupdate4 to create or update a `.ts` translation file for each language that the application is to be translated into. A `.ts` file is an XML file that contains the strings to be translated and the corresponding translations that have already been made. pylupdate4 can be run any number of times during development to update the `.ts` files with the latest strings for translation.
> - The translator uses Qt Linguist to update the `.ts` files with translations of the strings.
> - The release manager then uses Qt's `lrelease` utility to convert the `.ts` files to `.qm` files which are compact binary equivalents used by the application. If an application cannot find an appropriate `.qm` file, or a particular string hasn't been translated, then the strings used in the original source code are used instead.
> - The release manage may optionally use pyrcc4 to embed the `.qm` files, along with other application resources such as icons, in a Python module. This may make packaging and distribution of the application easier.

## 17.1 pylupdate4

`pylupdate4` is PyQt's equivalent to Qt's `lupdate` utility and is used in exactly the same way. A Qt `.pro` project file is read that specifies the Python source files and Qt Designer interface files from which the text that needs to be translated is extracted. The `.pro` file also specifies the `.ts` translation files that `pylupdate4` updates (or creates if necessary) and are subsequently used by Qt Linguist.

pylupdate4 will only be included if your copy of Qt includes the XML module.

## 17.2 Differences Between PyQt and Qt

Qt implements internationalisation support through the `QTranslator` class, and the `QCoreApplication::translate()`, `QObject::tr()` and `QObject::trUtf8()` methods. Usually the `tr()` method is used to obtain the correct translation of a message. The translation process uses a message context to allow the same message to be translated differently. `tr()` is actually generated by `moc` and uses the hardcoded class name as the context. On the other hand, `QApplication::translate()` allows the context to be explicitly stated.

Unfortunately, because of the way Qt implements `tr()` (and `trUtf8()`) it is not possible for PyQt to exactly reproduce its behaviour. The PyQt implementation of `tr()` (and `trUtf8()`) uses the class name of the instance as the context. The key difference, and the source of potential problems, is that the context is determined dynamically in PyQt, but is hardcoded in Qt. In other words, the context of a translation may change depending on an instance's class hierarchy. For example:

    class A(QtCore.QObject):
        def hello(self):
            return self.tr("Hello")

    class B(A):
        pass

    a = A()
    a.hello()

    b = B()
    b.hello()

In the above the message is translated by `a.hello()` using a context of `A`, and by `b.hello()` using a context of `B`. In the equivalent C++ version the context would be `A` in both cases.

The PyQt behaviour is unsatisfactory and may be changed in the future. It is recommended that `QCoreApplication.translate()` be used in preference to `tr()` (and `trUtf8()`). This is guaranteed to work with current and future versions of PyQt and makes it much easier to share message files between Python and C++ code. Below is the alternative implementation of `A` that uses `QCoreApplication.translate()`:

    class A(QtCore.QObject):
        def hello(self):
            return QtCore.QCoreApplication.translate("A", "Hello")

# 18 The DBus Support Module

The DBus support module is installed as `dbus.mainloop.qt` and provides support for the Qt event loop to the standard `dbus-python` language bindings package. The module's API is almost identical to that of the `dbus.mainloop.glib` modules that provides support for the GLib event loop.

The `dbus.mainloop.qt` module contains the following function.

DBusQtMainLoop(set_as_default=False)

  This function returns a `dbus.mainloop.NativeMainLoop` object that uses the the Qt event loop.

  `set_as_default` is set to make the main loop instance the default for all new Connection and Bus instances. It may only be specified as a keyword argument, and not as a positional argument.

The following code fragment is all that is normally needed to set up the standard `dbus-python` language bindings package to be used with PyQt:

    import dbus.mainloop.qt

    dbus.mainloop.qt.DBusQtMainLoop(set_as_default=True)

# 19 Things to be Aware Of

## 19.1 Python Strings, Qt Strings and Unicode

PyQt uses the `QString` class to represent Unicode strings, and the `QByteArray` to represent byte arrays or strings. In Python v3 the corresponding native object types are `str` and `bytes`. In Python v2 the corresponding native object types are `unicode` and `str`.

PyQt does its best to automatically convert between objects of the various types. Explicit conversions can be easily made where necessary.

In some cases PyQt will not perform automatic conversions where it is necessary to distinguish between different overloaded methods.

For Python v3 the following conversions are done by default.

> - If Qt expects a `char *` (or a `const` version) then PyQt will accept a `str` or `QString` that contains only ASCII characters, a `bytes`, a `QByteArray`, or a Python object that implements the buffer protocol.
> - If Qt expects a `char` (or a `const` version) then PyQt will accept the same types as for `char *` and also require that a single character is provided.
> - If Qt expects a `signed char *` or an `unsigned char *` (or a `const` version) then PyQt will accept a `bytes`.
> - If Qt expects a `signed char` or an `unsigned char` (or a `const` version) then PyQt will accept a `bytes` of length 1.
> - If Qt expects a `QString` then PyQt will accept a `str`, a `bytes` that contains only ASCII characters, a `QChar` or a `QByteArray`.
> - If Qt expects a `QByteArray` then PyQt will also accept a `str` that contains only Latin-1 characters, or a `bytes`.

For Python v2 the following conversions are done by default.

> - If Qt expects a `char *`, `signed char *` or an `unsigned char *` (or a `const` version) then PyQt will accept a `unicode` or `QString` that contains only ASCII characters, a `str`, a `QByteArray`, or a Python object that implements the buffer protocol.
> - If Qt expects a `char`, `signed char` or an `unsigned char` (or a `const` version) then PyQt will accept the same types as for `char *`, `signed char *` and `unsigned char *` and also require that a single character is provided.
> - If Qt expects a `QString` then PyQt will accept a `unicode`, a `str` that contains only ASCII characters, a `QChar` or a `QByteArray`.
> - If Qt expects a `QByteArray` then PyQt will accept a `unicode` that contains only Latin-1 characters, or a `str`.

Note that the different behaviour between Python v2 and v3 is due to v3's reduced support for the buffer protocol.

## 19.2 Garbage Collection

C++ does not garbage collect unreferenced class instances, whereas Python does. In the following C++ fragment both colours exist even though the first can no longer be referenced from within the program:

    col = new QColor();
    col = new QColor();

In the corresponding Python fragment, the first colour is destroyed when the second is assigned to `col`:

    col = QtGui.QColor()
    col = QtGui.QColor()

In Python, each colour must be assigned to different names. Typically this is done within class definitions, so the code fragment would be something like:

    self.col1 = QtGui.QColor()
    self.col2 = QtGui.QColor()

Sometimes a Qt class instance will maintain a pointer to another instance and will eventually call the destructor of that second instance. The most common example is that a `QObject` (and any of its sub-classes) keeps pointers to its children and will automatically call their destructors. In these cases, the corresponding Python object will also keep a reference to the corresponding child objects.

So, in the following Python fragment, the first `QLabel` is not destroyed when the second is assigned to `lab` because the parent `QWidget` still has a reference to it:

    parent = QtGui.QWidget()
    lab = QtGui.QLabel("First label", parent)
    lab = QtGui.QLabel("Second label", parent)

## 19.3 Multiple Inheritance

It is not possible to define a new Python class that sub-classes from more than one Qt class.

## 19.4 Access to Protected Member Functions

When an instance of a C++ class is not created from Python it is not possible to access the protected member functions, or emit any signals, of that instance. Attempts to do so will raise a Python exception. Also, any Python methods corresponding to the instance's virtual member functions will never be called.

## 19.5 `None` and `NULL`

Throughout PyQt, the `None` value can be specified wherever `NULL` is acceptable to the underlying C++ code.

Equally, `NULL` is converted to `None` whenever it is returned by the underlying C++ code.

## 19.6 Support for `void *`

PyQt (actually SIP) represents `void *` values as objects of type `sip.voidptr`. Such values are often used to pass the addresses of external objects between different Python modules. To make this easier, a Python integer (or anything that Python can convert to an integer) can be used whenever a `sip.voidptr` is expected.

A `sip.voidptr` may be converted to a Python integer by using the `int()` builtin function.

A `sip.voidptr` may be converted to a Python string by using its `asstring()` method. The `asstring()` method takes an optional integer argument which is the length of the data in bytes.

A `sip.voidptr` may also be given a size (ie. the size of the block of memory that is pointed to) by calling its `setsize()` method. If it has a size then it is also able to support Python's buffer protocol. This means that it can be wrapped using Python's `buffer()` builtin to create an object that treats the block of memory as a mutable list of bytes. It also means that the Python `struct` module can be used to unpack and pack binary data structures in memory, memory mapped files or shared memory.

## 19.7 `super` and PyQt Classes

In versions of PyQt earlier than v4.5 there were restrictions on the use of `super` with PyQt classes. These restrictions no longer apply with v4.5 and later.

# 20 Deploying Commercial PyQt Applications

When deploying commercial PyQt applications it is necessary to discourage users from accessing the underlying PyQt modules for themselves. A user that used the modules shipped with your application to develop new applications would themselves be considered a developer and would need their own commercial Qt and PyQt licenses.

One solution to this problem is the VendorID package. This allows you to build Python extension modules that can only be imported by a digitally signed custom interpreter. The package enables you to create such an interpreter with your application embedded within it. The result is an interpreter that can only run your application, and PyQt modules that can only be imported by that interpreter. You can use the package to similarly restrict access to any extension module.

In order to build PyQt with support for the VendorID package, pass the `-i` command line flag to `configure.py`.

# 21 The PyQt Build System

The PyQt build system is an extension of the SIP build system and is implemented by the `pyqtconfig` module, part of the `PyQt4` package. It can be used by configuration scripts of other bindings that build on top of PyQt and takes care of the details of the Qt installation.

The module contains a number of classes.

## 21.1 `pyqtconfig` Classes

Configuration(sipconfig.Configuration)

  This class encapsulates configuration values that can be accessed as instance objects.

  The following configuration values are provided in addition to those provided by the super-class:

  > pyqt_bin_dir
  >   The name of the directory where the PyQt utilities are installed.
  > pyqt_config_args
  >   The command line passed to `configure.py` when PyQt was configured.
  > pyqt_mod_dir
  >   The name of the directory where the `PyQt4` Python package is installed.
  > pyqt_modules
  >   A space separated string of installed PyQt modules. The `Qt` module is not included.
  > pyqt_sip_dir
  >   The name of the base directory where PyQt's `.sip` files are installed. Each module's `.sip` files are installed in a sub-directory with the same name as the module.
  > pyqt_sip_flags
  >   A space separated string of the `sip` command line arguments used to build the PyQt modules. These should also be used when building bindings that `%Import` any PyQt modules.
  > pyqt_version
  >   The PyQt version as a 3 part hexadecimal number (e.g. v4.0.1 is represented as `0x040001`).
  > pyqt_version_str
  >   The PyQt version as a string. For development snapshots it will start with `snapshot-`.
  > qt_data_dir
  >   The value of `QLibraryInfo::location(DataPath)` for the Qt installation.
  > qt_dir
  >   The root directory of the Qt installation (normally the directory that contains the `bin` directory).
  > qt_edition
  >   The Qt edition.
  > qt_framework
  >   Set if Qt is built as a MacOS/X framework.
  > qt_inc_dir
  >   The value of `QLibraryInfo::location(HeadersPath)` for the Qt installation.
  > qt_lib_dir
  >   The value of `QLibraryInfo::location(LibrariesPath)` for the Qt installation.
  > qt_threaded
  >   Set if Qt is built with thread support (always set for PyQt).
  > qt_version
  >   The Qt version as a 3 part hexadecimal number (e.g. v4.1.2 is represented as `0x040102`).
  > qt_winconfig
  >   Additional Windows specific configuration.

  __init__(self, sub_cfg=None)

    Initialise the instance.

    `sub_cfg` is an optional list of sub-class configurations. It should only be used by the `__init__()` method of a sub-class to append its own dictionary of configuration values before passing the list to its super-class.

QtAssistantModuleMakefile(QtNetworkModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtAssistant` module.
QAxContainerModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QAxContainer` module.
QtCoreModuleMakefile(sipconfig.SIPModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtCore` module.
QtDeclarativeModuleMakefile(QtNetworkModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtDeclarative` module.
QtGuiModuleMakefile(QtCoreModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtGui` module.
QtHelpModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtHelp` module.
QtMultimediaModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtMultimedia` module.
QtNetworkModuleMakefile(QtCoreModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtNetwork` module.
QtOpenGLModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtOpenGL` module.
QtScriptModuleMakefile(QtCoreModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtScript` module.
QtSqlModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtSql` module.
QtSvgModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtSvg` module.
QtTestModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtTest` module.
QtWebKitModuleMakefile(QtNetworkModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtWebKit` module.
QtXmlModuleMakefile(QtCoreModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtXml` module.
QtXmlPatternsModuleMakefile(QtCoreModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `QtXmlPatterns` module.
phononModuleMakefile(QtGuiModuleMakefile)
  This class encapsulates a Makefile to build a SIP generated Python extension module that is built on the PyQt `phonon` module.