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<div class="document" id="pyqt-v4-python-bindings-for-qt-v4">
<h1 class="title">PyQt v4 - Python Bindings for Qt v4</h1>
<h2 class="subtitle" id="reference-guide">Reference Guide</h2>
<table class="docinfo" frame="void" rules="none">
<col class="docinfo-name" />
<col class="docinfo-content" />
<tbody valign="top">
<tr><th class="docinfo-name">Contact:</th>
<td><a class="first last reference external" href="mailto:info@riverbankcomputing.com">info@riverbankcomputing.com</a></td></tr>
<tr><th class="docinfo-name">Version:</th>
<td>4.7.3</td></tr>
<tr><th class="docinfo-name">Copyright:</th>
<td>Copyright (c) 2010 Riverbank Computing Limited</td></tr>
</tbody>
</table>
<div class="contents topic" id="contents">
<p class="topic-title first">Contents</p>
<ul class="auto-toc simple">
<li><a class="reference internal" href="#introduction" id="id15">1 Introduction</a><ul class="auto-toc">
<li><a class="reference internal" href="#license" id="id16">1.1 License</a></li>
<li><a class="reference internal" href="#pyqt-components" id="id17">1.2 PyQt Components</a></li>
</ul>
</li>
<li><a class="reference internal" href="#potential-incompatibilities-with-earlier-versions" id="id18">2 Potential Incompatibilities with Earlier Versions</a><ul class="auto-toc">
<li><a class="reference internal" href="#pyqt-v4-7-1" id="id19">2.1 PyQt v4.7.1</a><ul class="auto-toc">
<li><a class="reference internal" href="#qvariant" id="id20">2.1.1 QVariant</a></li>
</ul>
</li>
<li><a class="reference internal" href="#pyqt-v4-5" id="id21">2.2 PyQt v4.5</a><ul class="auto-toc">
<li><a class="reference internal" href="#id1" id="id22">2.2.1 QVariant</a></li>
<li><a class="reference internal" href="#pyrcc4-support-for-python-v3" id="id23">2.2.2 pyrcc4 Support for Python v3</a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#installing-pyqt" id="id24">3 Installing PyQt</a><ul class="auto-toc">
<li><a class="reference internal" href="#downloading-sip" id="id25">3.1 Downloading SIP</a></li>
<li><a class="reference internal" href="#downloading-pyqt" id="id26">3.2 Downloading PyQt</a></li>
<li><a class="reference internal" href="#configuring-pyqt" id="id27">3.3 Configuring PyQt</a></li>
<li><a class="reference internal" href="#configuring-sip-and-pyqt-for-macos-10-6-snow-leopard" id="id28">3.4 Configuring SIP and PyQt for MacOS 10.6 (Snow Leopard)</a></li>
<li><a class="reference internal" href="#building-pyqt" id="id29">3.5 Building PyQt</a></li>
</ul>
</li>
<li><a class="reference internal" href="#selecting-incompatible-apis" id="id30">4 Selecting Incompatible APIs</a><ul class="auto-toc">
<li><a class="reference internal" href="#qdate" id="id31">4.1 QDate</a><ul class="auto-toc">
<li><a class="reference internal" href="#version-2" id="id32">4.1.1 Version 2</a></li>
<li><a class="reference internal" href="#version-1" id="id33">4.1.2 Version 1</a></li>
</ul>
</li>
<li><a class="reference internal" href="#qdatetime" id="id34">4.2 QDateTime</a><ul class="auto-toc">
<li><a class="reference internal" href="#id2" id="id35">4.2.1 Version 2</a></li>
<li><a class="reference internal" href="#id3" id="id36">4.2.2 Version 1</a></li>
</ul>
</li>
<li><a class="reference internal" href="#qstring" id="id37">4.3 QString</a><ul class="auto-toc">
<li><a class="reference internal" href="#id4" id="id38">4.3.1 Version 2</a></li>
<li><a class="reference internal" href="#id5" id="id39">4.3.2 Version 1</a></li>
</ul>
</li>
<li><a class="reference internal" href="#qtextstream" id="id40">4.4 QTextStream</a><ul class="auto-toc">
<li><a class="reference internal" href="#id6" id="id41">4.4.1 Version 2</a></li>
<li><a class="reference internal" href="#id7" id="id42">4.4.2 Version 1</a></li>
</ul>
</li>
<li><a class="reference internal" href="#qtime" id="id43">4.5 QTime</a><ul class="auto-toc">
<li><a class="reference internal" href="#id8" id="id44">4.5.1 Version 2</a></li>
<li><a class="reference internal" href="#id9" id="id45">4.5.2 Version 1</a></li>
</ul>
</li>
<li><a class="reference internal" href="#qurl" id="id46">4.6 QUrl</a><ul class="auto-toc">
<li><a class="reference internal" href="#id10" id="id47">4.6.1 Version 2</a></li>
<li><a class="reference internal" href="#id11" id="id48">4.6.2 Version 1</a></li>
</ul>
</li>
<li><a class="reference internal" href="#id12" id="id49">4.7 QVariant</a><ul class="auto-toc">
<li><a class="reference internal" href="#id13" id="id50">4.7.1 Version 2</a></li>
<li><a class="reference internal" href="#id14" id="id51">4.7.2 Version 1</a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#support-for-keyword-arguments" id="id52">5 Support for Keyword Arguments</a></li>
<li><a class="reference internal" href="#support-for-qt-properties" id="id53">6 Support for Qt Properties</a></li>
<li><a class="reference internal" href="#new-style-signal-and-slot-support" id="id54">7 New-style Signal and Slot Support</a><ul class="auto-toc">
<li><a class="reference internal" href="#unbound-and-bound-signals" id="id55">7.1 Unbound and Bound Signals</a></li>
<li><a class="reference internal" href="#defining-new-signals-with-qtcore-pyqtsignal" id="id56">7.2 Defining New Signals with <tt class="docutils literal"><span class="pre">QtCore.pyqtSignal()</span></tt></a></li>
<li><a class="reference internal" href="#connecting-disconnecting-and-emitting-signals" id="id57">7.3 Connecting, Disconnecting and Emitting Signals</a></li>
<li><a class="reference internal" href="#connecting-signals-using-keyword-arguments" id="id58">7.4 Connecting Signals Using Keyword Arguments</a></li>
<li><a class="reference internal" href="#the-qtcore-pyqtslot-decorator" id="id59">7.5 The <tt class="docutils literal"><span class="pre">QtCore.pyqtSlot()</span></tt> Decorator</a><ul class="auto-toc">
<li><a class="reference internal" href="#integrating-python-and-javascript-in-qtwebkit" id="id60">7.5.1 Integrating Python and JavaScript in QtWebKit</a></li>
<li><a class="reference internal" href="#using-python-widgets-in-qt-designer" id="id61">7.5.2 Using Python Widgets in Qt Designer</a></li>
<li><a class="reference internal" href="#connecting-slots-by-name" id="id62">7.5.3 Connecting Slots By Name</a></li>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#old-style-signal-and-slot-support" id="id63">8 Old-style Signal and Slot Support</a><ul class="auto-toc">
<li><a class="reference internal" href="#pyqt-signals-and-qt-signals" id="id64">8.1 PyQt Signals and Qt Signals</a></li>
<li><a class="reference internal" href="#the-pyqt-pyobject-signal-argument-type" id="id65">8.2 The <tt class="docutils literal"><span class="pre">PyQt_PyObject</span></tt> Signal Argument Type</a></li>
<li><a class="reference internal" href="#short-circuit-signals" id="id66">8.3 Short-circuit Signals</a></li>
<li><a class="reference internal" href="#pyqt-slots-and-qt-slots" id="id67">8.4 PyQt Slots and Qt Slots</a></li>
<li><a class="reference internal" href="#connecting-signals-and-slots" id="id68">8.5 Connecting Signals and Slots</a></li>
<li><a class="reference internal" href="#emitting-signals" id="id69">8.6 Emitting Signals</a></li>
<li><a class="reference internal" href="#the-qtcore-pyqtsignature-decorator" id="id70">8.7 The <tt class="docutils literal"><span class="pre">QtCore.pyqtSignature()</span></tt> Decorator</a></li>
</ul>
</li>
<li><a class="reference internal" href="#python-objects-and-qvariant" id="id71">9 Python Objects and QVariant</a></li>
<li><a class="reference internal" href="#support-for-pickling" id="id72">10 Support for Pickling</a></li>
<li><a class="reference internal" href="#support-for-python-s-buffer-interface" id="id73">11 Support for Python's Buffer Interface</a></li>
<li><a class="reference internal" href="#using-pyqt-from-the-python-shell" id="id74">12 Using PyQt from the Python Shell</a></li>
<li><a class="reference internal" href="#using-qt-designer" id="id75">13 Using Qt Designer</a><ul class="auto-toc">
<li><a class="reference internal" href="#using-the-generated-code" id="id76">13.1 Using the Generated Code</a></li>
<li><a class="reference internal" href="#the-uic-module" id="id77">13.2 The <tt class="docutils literal"><span class="pre">uic</span></tt> Module</a></li>
<li><a class="reference internal" href="#pyuic4" id="id78">13.3 pyuic4</a></li>
<li><a class="reference internal" href="#writing-qt-designer-plugins" id="id79">13.4 Writing Qt Designer Plugins</a></li>
</ul>
</li>
<li><a class="reference internal" href="#the-pyqt-resource-system" id="id80">14 The PyQt Resource System</a><ul class="auto-toc">
<li><a class="reference internal" href="#pyrcc4" id="id81">14.1 pyrcc4</a></li>
</ul>
</li>
<li><a class="reference internal" href="#internationalisation-of-pyqt-applications" id="id82">15 Internationalisation of PyQt Applications</a><ul class="auto-toc">
<li><a class="reference internal" href="#pylupdate4" id="id83">15.1 pylupdate4</a></li>
<li><a class="reference internal" href="#differences-between-pyqt-and-qt" id="id84">15.2 Differences Between PyQt and Qt</a></li>
</ul>
</li>
<li><a class="reference internal" href="#the-dbus-support-module" id="id85">16 The DBus Support Module</a></li>
<li><a class="reference internal" href="#things-to-be-aware-of" id="id86">17 Things to be Aware Of</a><ul class="auto-toc">
<li><a class="reference internal" href="#python-strings-qt-strings-and-unicode" id="id87">17.1 Python Strings, Qt Strings and Unicode</a></li>
<li><a class="reference internal" href="#garbage-collection" id="id88">17.2 Garbage Collection</a></li>
<li><a class="reference internal" href="#multiple-inheritance" id="id89">17.3 Multiple Inheritance</a></li>
<li><a class="reference internal" href="#access-to-protected-member-functions" id="id90">17.4 Access to Protected Member Functions</a></li>
<li><a class="reference internal" href="#none-and-null" id="id91">17.5 <tt class="docutils literal"><span class="pre">None</span></tt> and <tt class="docutils literal"><span class="pre">NULL</span></tt></a></li>
<li><a class="reference internal" href="#support-for-void" id="id92">17.6 Support for <tt class="docutils literal"><span class="pre">void</span> <span class="pre">*</span></tt></a></li>
<li><a class="reference internal" href="#super-and-pyqt-classes" id="id93">17.7 <tt class="docutils literal"><span class="pre">super</span></tt> and PyQt Classes</a></li>
</ul>
</li>
<li><a class="reference internal" href="#deploying-commercial-pyqt-applications" id="id94">18 Deploying Commercial PyQt Applications</a></li>
<li><a class="reference internal" href="#the-pyqt-build-system" id="id95">19 The PyQt Build System</a><ul class="auto-toc">
<li><a class="reference internal" href="#pyqtconfig-classes" id="id96">19.1 <tt class="docutils literal"><span class="pre">pyqtconfig</span></tt> Classes</a></li>
</ul>
</li>
</ul>
</div>
<div class="section" id="introduction">
<h1><a class="toc-backref" href="#id15">1 Introduction</a></h1>
<p>This is the reference guide for PyQt 4.7.3. PyQt v4 is a set of
<a class="reference external" href="http://www.python.org">Python</a> bindings for v4 of the Qt application
framework from <a class="reference external" href="http://qt.nokia.com">Nokia</a>.</p>
<p>There is a separate <a class="reference external" href="html/classes.html">PyQt API Reference</a>.</p>
<p>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.</p>
<p>PyQt supports the Windows, Linux, UNIX and MacOS/X platforms.</p>
<p>PyQt does not include Qt itself - you must obtain it separately.</p>
<p>The homepage for PyQt is <a class="reference external" href="http://www.riverbankcomputing.com/software/pyqt/">http://www.riverbankcomputing.com/software/pyqt/</a>.
Here you will always find the latest stable version, current development
snapshots, and the latest version of this documentation.</p>
<p>PyQt is built using the <a class="reference external" href="http://www.riverbankcomputing.com/software/sip/">SIP bindings generator</a>. SIP must be installed in
order to build and use PyQt.</p>
<p>Earlier versions of Qt are supported by PyQt v3.</p>
<div class="section" id="license">
<h2><a class="toc-backref" href="#id16">1.1 License</a></h2>
<p>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.</p>
<p>PyQt, unlike Qt, is not available under the LGPL.</p>
<p>You can purchase a commercial PyQt license <a class="reference external" href="http://www.riverbankcomputing.com/commercial/buy">here</a>.</p>
</div>
<div class="section" id="pyqt-components">
<h2><a class="toc-backref" href="#id17">1.2 PyQt Components</a></h2>
<p>PyQt comprises a number of different components. First of all there are a
number of Python extension modules. These are all installed in the <tt class="docutils literal"><span class="pre">PyQt4</span></tt>
Python package.</p>
<blockquote>
<ul class="simple">
<li>The <tt class="docutils literal"><span class="pre">QtCore</span></tt> 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.</li>
<li>The <tt class="docutils literal"><span class="pre">QtGui</span></tt> module. This contains the majority of the GUI classes.</li>
<li>The <tt class="docutils literal"><span class="pre">QtHelp</span></tt> module. This contains classes for creating and viewing
searchable documentation.</li>
<li>The <tt class="docutils literal"><span class="pre">QtNetwork</span></tt> 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.</li>
<li>The <tt class="docutils literal"><span class="pre">QtOpenGL</span></tt> module. This module contains classes that enable the
use of OpenGL in rendering 3D graphics in PyQt applications.</li>
<li>The <tt class="docutils literal"><span class="pre">QtScript</span></tt> module. This module contains classes that enable PyQt
applications to be scripted using Qt's JavaScript interpreter.</li>
<li>The <tt class="docutils literal"><span class="pre">QtScriptTools</span></tt> module. This module contains classes that contain
additional components (e.g. a debugger) that are used with Qt's
JavaScript interpreter.</li>
<li>The <tt class="docutils literal"><span class="pre">QtSql</span></tt> 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
<a class="reference external" href="http://www.sqlite.org">SQLite</a>.</li>
<li>The <tt class="docutils literal"><span class="pre">QtSvg</span></tt> module. This module contains classes for displaying the
contents of SVG files.</li>
<li>The <tt class="docutils literal"><span class="pre">QtTest</span></tt> 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.)</li>
<li>The <tt class="docutils literal"><span class="pre">QtWebKit</span></tt> module. This module implements a web browser engine
based on the WebKit open source browser engine.</li>
<li>The <tt class="docutils literal"><span class="pre">QtXml</span></tt> module. This module contains classes that implement SAX
and DOM interfaces to Qt's XML parser.</li>
<li>The <tt class="docutils literal"><span class="pre">QtXmlPatterns</span></tt> module. This module contains classes that
implement XQuery and XPath support for XML and custom data models.</li>
<li>The <tt class="docutils literal"><span class="pre">phonon</span></tt> module. This module contains classes that
implement a cross-platform multimedia framework that enables the use of
audio and video content in PyQt applications.</li>
<li>The <tt class="docutils literal"><span class="pre">QtMultimedia</span></tt> module. This module provides low-level multimedia
functionality. Application developers would normally use the <tt class="docutils literal"><span class="pre">phonon</span></tt>
module.</li>
<li>The <tt class="docutils literal"><span class="pre">QtAssistant</span></tt> module. This module contains classes that allow Qt
Assistant to be integrated with a PyQt application to provide online
help.</li>
<li>The <tt class="docutils literal"><span class="pre">QtDesigner</span></tt> module. This module contains classes that allow Qt
Designer to be extended using PyQt. See <a class="reference internal" href="#writing-qt-designer-plugins">Writing Qt Designer Plugins</a>
for a full description of how to do this.</li>
<li>The <tt class="docutils literal"><span class="pre">QAxContainer</span></tt> module. This module contains classes that allow
access to ActiveX controls and COM objects.</li>
<li>The <tt class="docutils literal"><span class="pre">Qt</span></tt> 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.</li>
<li>The <a class="reference external" href="http://www.freedesktop.org/wiki/Software_2fdbus">DBus</a> support
module is installed as <tt class="docutils literal"><span class="pre">dbus.mainloop.qt</span></tt>. PyQt does not support Qt's
native DBus classes (which are very C++ orientated). Instead the
<tt class="docutils literal"><span class="pre">dbus.mainloop.qt</span></tt> module provides support for the Qt event loop in the
same way that the <tt class="docutils literal"><span class="pre">dbus.mainloop.glib</span></tt> included with the standard
<tt class="docutils literal"><span class="pre">dbus-python</span></tt> bindings package provides support for the GLib event
loop. The API is described in <a class="reference internal" href="#the-dbus-support-module">The DBus Support Module</a>. It is only
available for PyQt for X11 and only if the <tt class="docutils literal"><span class="pre">dbus-python</span></tt> v0.80 (or
later) bindings package is installed.</li>
<li>The <tt class="docutils literal"><span class="pre">uic</span></tt> module. This module contains classes for handling the
<tt class="docutils literal"><span class="pre">.ui</span></tt> files created by Qt Designer that describe the whole or part of a
graphical user interface. It includes classes that load a <tt class="docutils literal"><span class="pre">.ui</span></tt> file
and render it directly, and classes that generate Python code from a
<tt class="docutils literal"><span class="pre">.ui</span></tt> file for later execution. It is covered in detail in <a class="reference internal" href="#the-uic-module">The uic
Module</a>.</li>
<li>The <tt class="docutils literal"><span class="pre">pyqtconfig</span></tt> 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 <a class="reference internal" href="#the-pyqt-build-system">The PyQt Build System</a>.</li>
</ul>
</blockquote>
<p>PyQt also contains a number of utility programs.</p>
<blockquote>
<ul class="simple">
<li><a class="reference internal" href="#pyuic4">pyuic4</a> corresponds to the Qt <tt class="docutils literal"><span class="pre">uic</span></tt> utility. It converts GUIs
created using Qt Designer to Python code. It is covered in detail in
<a class="reference internal" href="#pyuic4">pyuic4</a>.</li>
<li><a class="reference internal" href="#pyrcc4">pyrcc4</a> corresponds to the Qt <tt class="docutils literal"><span class="pre">rcc</span></tt> 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
<a class="reference internal" href="#pyrcc4">pyrcc4</a>. (<em>Note</em> It will only be included if your copy of Qt includes
the XML module.)</li>
<li><a class="reference internal" href="#pylupdate4">pylupdate4</a> corresponds to the Qt <tt class="docutils literal"><span class="pre">lupdate</span></tt> utility. It extracts
all of the translatable strings from Python code and creates or updates
<tt class="docutils literal"><span class="pre">.ts</span></tt> translation files. These are then used by Qt Linguist to manage
the translation of those strings. It is covered in detail in
<a class="reference internal" href="#pylupdate4">pylupdate4</a>. (<em>Note</em> It will only be included if your copy of Qt
includes the XML module.)</li>
</ul>
</blockquote>
<p>When PyQt is configured a file called <tt class="docutils literal"><span class="pre">PyQt4.api</span></tt> is generated. This can be
used by the QScintilla editor component (at
<a class="reference external" href="http://www.riverbankcomputing.com/software/qscintilla/">http://www.riverbankcomputing.com/software/qscintilla/</a>) 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.</p>
<p>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 <tt class="docutils literal"><span class="pre">examples</span></tt>
directory.</p>
<p>Finally, PyQt contains the <tt class="docutils literal"><span class="pre">.sip</span></tt> files used by SIP to generate PyQt
itself. These can be used by developers of bindings of other Qt based class
libraries - for example <a class="reference external" href="http://pyqwt.sourceforge.net/">PyQwt and PyQwt3D</a>.</p>
</div>
</div>
<div class="section" id="potential-incompatibilities-with-earlier-versions">
<h1><a class="toc-backref" href="#id18">2 Potential Incompatibilities with Earlier Versions</a></h1>
<div class="section" id="pyqt-v4-7-1">
<h2><a class="toc-backref" href="#id19">2.1 PyQt v4.7.1</a></h2>
<div class="section" id="qvariant">
<h3><a class="toc-backref" href="#id20">2.1.1 QVariant</a></h3>
<p>This version introduces a slight incompatibility in the conversion between
sub-classes of standard Python types and <tt class="docutils literal"><span class="pre">QVariant</span></tt>.</p>
<p>Take, for example, the following code:</p>
<pre class="literal-block">
from PyQt4.QtCore import QVariant
class MyFloat(float):
pass
myfloat = MyFloat(5.0)
variant = QVariant(myfloat)
</pre>
<p>With this version of PyQt <tt class="docutils literal"><span class="pre">myfloat</span></tt> will be converted in such a way as to
preserve any additional attributes (including methods) and will not be
converted to a C++ <tt class="docutils literal"><span class="pre">double</span></tt>. In other words, the following assertions are
true:</p>
<pre class="literal-block">
assert(variant.type() != QVariant.Double)
assert(variant.toPyObject() is myfloat)
</pre>
<p>Prior to this version <tt class="docutils literal"><span class="pre">myfloat</span></tt> would be converted to a C++ <tt class="docutils literal"><span class="pre">double</span></tt>. In
other words, the following assertions would be true:</p>
<pre class="literal-block">
assert(variant.type() == QVariant.Double)
assert(variant.toPyObject() == myfloat)
assert(type(variant.toPyObject()) is float)
</pre>
<p>The same change also affects objects that implement the sequence protocol.
Prior to this version such an object would be converted to a <tt class="docutils literal"><span class="pre">QVariantList</span></tt>
which would mean that it was converted back to a Python <tt class="docutils literal"><span class="pre">list</span></tt> rather than to
the original type.</p>
</div>
</div>
<div class="section" id="pyqt-v4-5">
<h2><a class="toc-backref" href="#id21">2.2 PyQt v4.5</a></h2>
<div class="section" id="id1">
<h3><a class="toc-backref" href="#id22">2.2.1 QVariant</a></h3>
<p>This version introduces a slight incompatibility in the conversion between
Python sub-classes of certain Qt classes and <tt class="docutils literal"><span class="pre">QVariant</span></tt>. The Qt classes
affected are those that <tt class="docutils literal"><span class="pre">QVariant</span></tt> has explicit support for, e.g. <tt class="docutils literal"><span class="pre">QSize</span></tt>,
<tt class="docutils literal"><span class="pre">QBitmap</span></tt>.</p>
<p>Take, for example, the following code:</p>
<pre class="literal-block">
from PyQt4.QtCore import QSize, QVariant
class MySize(QSize):
pass
mysize = MySize(5, 5)
variant = QVariant(mysize)
</pre>
<p>With this version of PyQt <tt class="docutils literal"><span class="pre">mysize</span></tt> will be converted in such a way as to
preserve any additional attributes (including methods) and will not be
converted to a C++ <tt class="docutils literal"><span class="pre">QSize</span></tt> instance. In other words, the following
assertions are true:</p>
<pre class="literal-block">
assert(variant.type() != QVariant.Size)
assert(variant.toPyObject() is mysize)
</pre>
<p>Prior to this version <tt class="docutils literal"><span class="pre">mysize</span></tt> would be converted to a C++ <tt class="docutils literal"><span class="pre">QSize</span></tt>
instance. In other words, the following assertions would be true:</p>
<pre class="literal-block">
assert(variant.type() == QVariant.Size)
assert(variant.toPyObject() == mysize)
assert(type(variant.toPyObject()) is QSize)
</pre>
<p>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:</p>
<pre class="literal-block">
variant = QVariant(QSize(mysize))
</pre>
<p>A similar issue also affects the conversion of the Python <tt class="docutils literal"><span class="pre">datetime</span></tt>,
<tt class="docutils literal"><span class="pre">date</span></tt> and <tt class="docutils literal"><span class="pre">time</span></tt> types to <tt class="docutils literal"><span class="pre">QVariant</span></tt>. These are no longer converted to
the corresponding <tt class="docutils literal"><span class="pre">QDateTime</span></tt>, <tt class="docutils literal"><span class="pre">QDate</span></tt> and <tt class="docutils literal"><span class="pre">QTime</span></tt> classes. The values
can be retrieved using <tt class="docutils literal"><span class="pre">QVariant.toPyObject()</span></tt>. Again, the old behaviour can
be achieved using an explicit conversion to the Qt class before converting to
<tt class="docutils literal"><span class="pre">QVariant</span></tt>.</p>
<p>A further incompatible change is the handling of Python sub-classes of
<tt class="docutils literal"><span class="pre">QObject</span></tt>. In previous versions <tt class="docutils literal"><span class="pre">QVariant.userType()</span></tt> would return an
internal type and an extra reference would be kept to the Python object. In
the current version <tt class="docutils literal"><span class="pre">QVariant.userType()</span></tt> will correctly return
<tt class="docutils literal"><span class="pre">QMetaType.QObjectStar</span></tt> (or <tt class="docutils literal"><span class="pre">QMetaType.QWidgetStar</span></tt>) 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.</p>
</div>
<div class="section" id="pyrcc4-support-for-python-v3">
<h3><a class="toc-backref" href="#id23">2.2.2 pyrcc4 Support for Python v3</a></h3>
<p><a class="reference internal" href="#pyrcc4">pyrcc4</a> will now generate code for Python v3 when the new <tt class="docutils literal"><span class="pre">-py3</span></tt> command
line option is used. The generated code will also work with Python v2.6 and
later.</p>
<p>By default <a class="reference internal" href="#pyrcc4">pyrcc4</a> will generate code for all Python v2 versions but you
should use the new <tt class="docutils literal"><span class="pre">-py2</span></tt> command line option to enforce this in case the
default is changed in the future.</p>
</div>
</div>
</div>
<div class="section" id="installing-pyqt">
<h1><a class="toc-backref" href="#id24">3 Installing PyQt</a></h1>
<div class="section" id="downloading-sip">
<h2><a class="toc-backref" href="#id25">3.1 Downloading SIP</a></h2>
<p>SIP must be installed before building and using PyQt. You can get the latest
release of the SIP source code from
<a class="reference external" href="http://www.riverbankcomputing.com/software/sip/download">http://www.riverbankcomputing.com/software/sip/download</a>.</p>
<p>The SIP documentation can be found at
<a class="reference external" href="http://www.riverbankcomputing.com/static/Docs/sip4/sipref.html">http://www.riverbankcomputing.com/static/Docs/sip4/sipref.html</a>.</p>
</div>
<div class="section" id="downloading-pyqt">
<h2><a class="toc-backref" href="#id26">3.2 Downloading PyQt</a></h2>
<p>You can get the latest release of the GPL version of the PyQt source code from
<a class="reference external" href="http://www.riverbankcomputing.com/software/pyqt/download">http://www.riverbankcomputing.com/software/pyqt/download</a>.</p>
<p>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.</p>
</div>
<div class="section" id="configuring-pyqt">
<h2><a class="toc-backref" href="#id27">3.3 Configuring PyQt</a></h2>
<p>After unpacking the source package (either a <tt class="docutils literal"><span class="pre">.tar.gz</span></tt> or a <tt class="docutils literal"><span class="pre">.zip</span></tt> file
depending on your platform) you should then check for any <tt class="docutils literal"><span class="pre">README</span></tt> files
that relate to your platform.</p>
<p>If you are using the commercial version of PyQt then you must copy your
license file to the <tt class="docutils literal"><span class="pre">sip</span></tt> directory.</p>
<p>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 <tt class="docutils literal"><span class="pre">qtvars.bat</span></tt> file. For
other platforms it is normally enough to ensure that Qt's <tt class="docutils literal"><span class="pre">bin</span></tt> directory is
on your <tt class="docutils literal"><span class="pre">PATH</span></tt>.</p>
<p>Next you need to configure SIP by executing the <tt class="docutils literal"><span class="pre">configure.py</span></tt> script. For
example:</p>
<pre class="literal-block">
python configure.py
</pre>
<p>This assumes that the Python interpreter is on your path. Something like the
following may be appropriate on Windows:</p>
<pre class="literal-block">
c:\python26\python configure.py
</pre>
<p>If you have multiple versions of Python installed then make sure you use the
interpreter for which you wish to build PyQt for.</p>
<p>The full set of command line options is:</p>
<table class="docutils option-list" frame="void" rules="none">
<col class="option" />
<col class="description" />
<tbody valign="top">
<tr><td class="option-group">
<kbd><span class="option">--version</span></kbd></td>
<td>Display the PyQt version number.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-h</span>, <span class="option">--help</span></kbd></td>
<td>Display a help message.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--confirm-license</span></kbd></td>
</tr>
<tr><td> </td><td>Using this confirms that you accept the terms of the PyQt license.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-k</span>, <span class="option">--static</span></kbd></td>
<td>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.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--no-docstrings</span></kbd></td>
</tr>
<tr><td> </td><td>The PyQt modules will not contain automatically generated docstrings.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-r</span>, <span class="option">--trace</span></kbd></td>
<td>The generated PyQt modules contain additional tracing code that is enabled
using SIP's <tt class="docutils literal"><span class="pre">sip.settracemask()</span></tt> function.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-u</span>, <span class="option">--debug</span></kbd></td>
<td>The PyQt modules will be built with debugging symbols. On Windows this
requires that a debug version of Python is installed.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-w</span>, <span class="option">--verbose</span></kbd></td>
<td>Compiler commands and any output issued during configuration is displayed
instead of being suppressed. Use this if <tt class="docutils literal"><span class="pre">configure.py</span></tt> is having
problems to see what exactly is going wrong.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-c</span>, <span class="option">--concatenate</span></kbd></td>
</tr>
<tr><td> </td><td>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
<tt class="docutils literal"><span class="pre">--concatenate-split</span></tt> option.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-j <var>N</var></span>, <span class="option">--concatenate-split=<var>N</var></span></kbd></td>
</tr>
<tr><td> </td><td>If the <tt class="docutils literal"><span class="pre">--concatenate</span></tt> option is used to concatenate the C++ source files
then this option determines how many files are created. The default is 1.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-g</span>, <span class="option">--consolidate</span></kbd></td>
</tr>
<tr><td> </td><td>Normally each PyQt module (except for the <tt class="docutils literal"><span class="pre">Qt</span></tt> module) is linked against
the corresponding Qt library. This option creates a module called <tt class="docutils literal"><span class="pre">_qt</span></tt>
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.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-e <var>MODULE</var></span>, <span class="option">--enable=<var>MODULE</var></span></kbd></td>
</tr>
<tr><td> </td><td>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.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-t <var>PLUGIN</var></span>, <span class="option">--plugin=<var>PLUGIN</var></span></kbd></td>
</tr>
<tr><td> </td><td>If Qt has been built as static libraries then the static plugin <tt class="docutils literal"><span class="pre">PLUGIN</span></tt>
will be linked with the appropriate PyQt module. The option may be
specified any number of times.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-q <var>FILE</var></span>, <span class="option">--qmake=<var>FILE</var></span></kbd></td>
</tr>
<tr><td> </td><td>Qt's <tt class="docutils literal"><span class="pre">qmake</span></tt> program is used to determine how your Qt installation is
laid out. Normally <tt class="docutils literal"><span class="pre">qmake</span></tt> is found on your <tt class="docutils literal"><span class="pre">PATH</span></tt>. This option can
be used to specify a particular instance of <tt class="docutils literal"><span class="pre">qmake</span></tt> to use. This option
is not available on Windows.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-s <var>DIR</var></span>, <span class="option">--dbus=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The <tt class="docutils literal"><span class="pre">dbus-python.h</span></tt> header file of the dbus-python package can be found
in the directory <tt class="docutils literal"><span class="pre">DIR/dbus</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-b <var>DIR</var></span>, <span class="option">--bindir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The <tt class="docutils literal"><span class="pre">pyuic4</span></tt>, <tt class="docutils literal"><span class="pre">pyrcc4</span></tt> and <tt class="docutils literal"><span class="pre">pylupdate4</span></tt> utilities will be installed
in the directory <tt class="docutils literal"><span class="pre">DIR</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-d <var>DIR</var></span>, <span class="option">--destdir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The PyQt Python package will be installed in the directory <tt class="docutils literal"><span class="pre">DIR</span></tt>. The
default is the Python installation's <tt class="docutils literal"><span class="pre">site-packages</span></tt> directory. If you
use this option then the <tt class="docutils literal"><span class="pre">PYTHONPATH</span></tt> environment variable must include
<tt class="docutils literal"><span class="pre">DIR</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-p <var>DIR</var></span>, <span class="option">--plugin-destdir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The Qt Designer plugin that manages plugins implemented in Python will be
installed in the <tt class="docutils literal"><span class="pre">designer</span></tt> subdirectory of the directory <tt class="docutils literal"><span class="pre">DIR</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--no-designer-plugin</span></kbd></td>
</tr>
<tr><td> </td><td>The Qt Designer plugin will not be built.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">--no-sip-files</span></kbd></td>
<td>The <tt class="docutils literal"><span class="pre">.sip</span></tt> files for the PyQt modules will not be installed.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-v <var>DIR</var></span>, <span class="option">--sipdir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The <tt class="docutils literal"><span class="pre">.sip</span></tt> files for the PyQt modules will be installed in the directory
<tt class="docutils literal"><span class="pre">DIR</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--use-arch=<var>ARCH</var></span></kbd></td>
</tr>
<tr><td> </td><td>When <tt class="docutils literal"><span class="pre">pyuic4</span></tt> calls the Python interpreter on MacOS it will be run
using the architecture <tt class="docutils literal"><span class="pre">ARCH</span></tt>. See the section
<a class="reference internal" href="#configuring-sip-and-pyqt-for-macos-10-6-snow-leopard">Configuring SIP and PyQt for MacOs 10.6 (Snow Leopard)</a>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--protected-is-public</span></kbd></td>
</tr>
<tr><td> </td><td>On certain platforms the size of PyQt modules can be significantly reduced
by redefining the C++ <tt class="docutils literal"><span class="pre">protected</span></tt> keyword as <tt class="docutils literal"><span class="pre">public</span></tt> during
compilation. This option enables this behaviour and is the default on
Linux and MacOS/X.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">--protected-not-public</span></kbd></td>
</tr>
<tr><td> </td><td>The default redefinition of <tt class="docutils literal"><span class="pre">protected</span></tt> to <tt class="docutils literal"><span class="pre">public</span></tt> during compilation
on Linux and MacOS/X is disabled.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-i</span>, <span class="option">--vendorid</span></kbd></td>
<td>The checking of signed Python interpreters using the <a class="reference external" href="http://www.riverbankcomputing.com/software/vendorid/">VendorID</a> package is
enabled. See also the <tt class="docutils literal"><span class="pre">--vendorid-incdir</span></tt> and <tt class="docutils literal"><span class="pre">--vendorid-libdir</span></tt>
options and <a class="reference internal" href="#deploying-commercial-pyqt-applications">Deploying Commercial PyQt Applications</a>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-l <var>DIR</var></span>, <span class="option">--vendorid-incdir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The header file of the VendorID package can be found in the directory
<tt class="docutils literal"><span class="pre">DIR</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-m <var>DIR</var></span>, <span class="option">--vendorid-libdir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The library of the VendorID package can be found in the directory <tt class="docutils literal"><span class="pre">DIR</span></tt>.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-a</span>, <span class="option">--qsci-api</span></kbd></td>
<td>The <tt class="docutils literal"><span class="pre">PyQt4.api</span></tt> QScintilla API file is installed even if QScintilla does
not appear to be installed. This option is implied if the
<tt class="docutils literal"><span class="pre">--qsci-api-destdir</span></tt> option is specified.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">--no-qsci-api</span></kbd></td>
<td>The <tt class="docutils literal"><span class="pre">PyQt4.api</span></tt> QScintilla API file is not installed even if QScintilla
does appear to be installed.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-n <var>DIR</var></span>, <span class="option">--qsci-api-destdir=<var>DIR</var></span></kbd></td>
</tr>
<tr><td> </td><td>The QScintilla API file will be installed in the <tt class="docutils literal"><span class="pre">python</span></tt> subdirectory of
the <tt class="docutils literal"><span class="pre">api`</span> <span class="pre">subdirectory</span> <span class="pre">of</span> <span class="pre">the</span> <span class="pre">directory</span> <span class="pre">``DIR</span></tt>.</td></tr>
</tbody>
</table>
</div>
<div class="section" id="configuring-sip-and-pyqt-for-macos-10-6-snow-leopard">
<h2><a class="toc-backref" href="#id28">3.4 Configuring SIP and PyQt for MacOS 10.6 (Snow Leopard)</a></h2>
<p>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.)</p>
<p>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.</p>
<p>To configure SIP for i386 use the following command line options:</p>
<pre class="literal-block">
python configure.py --arch i386
</pre>
<p>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:</p>
<pre class="literal-block">
python configure.py --use-arch i386
</pre>
<p>This tells the different PyQt tools that execute the Python interpreter
(actually only <tt class="docutils literal"><span class="pre">pyuic4</span></tt> 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.</p>
<p>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 <tt class="docutils literal"><span class="pre">MacOSX10.6.sdk</span></tt>. However
the Qt binary installer is built with <tt class="docutils literal"><span class="pre">MacOSX10.4u.sdk</span></tt> so you will probably
need to use the following command line option when configuring SIP:</p>
<pre class="literal-block">
python configure.py --sdk MacOSX10.4u.sdk
</pre>
</div>
<div class="section" id="building-pyqt">
<h2><a class="toc-backref" href="#id29">3.5 Building PyQt</a></h2>
<p>The next step is to build PyQt by running your platform's <tt class="docutils literal"><span class="pre">make</span></tt> command.
For example:</p>
<pre class="literal-block">
make
</pre>
<p>The final step is to install PyQt by running the following command:</p>
<pre class="literal-block">
make install
</pre>
<p>(Depending on your system you may require root or administrator privileges.)</p>
<p>This will install the various PyQt components.</p>
</div>
</div>
<div class="section" id="selecting-incompatible-apis">
<h1><a class="toc-backref" href="#id30">4 Selecting Incompatible APIs</a></h1>
<p>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 <tt class="docutils literal"><span class="pre">QString</span></tt> is implemented as a Python type, or
is automatically converted to and from a Python v2 unicode object or a Python
v3 string object.</p>
<p>This ability allows developers to decide how to manage the transition from an
older deprecated, API to a newer incompatible API.</p>
<p>Each API that can be selected in this way has a name and a range of version
numbers. An application calls <tt class="docutils literal"><span class="pre">sip.setapi()</span></tt> 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.</p>
<p>For example the following code will disable the use of <tt class="docutils literal"><span class="pre">QString</span></tt>:</p>
<pre class="literal-block">
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()
</pre>
<p>The rest of this section describes the different APIs that are available.</p>
<div class="section" id="qdate">
<h2><a class="toc-backref" href="#id31">4.1 QDate</a></h2>
<div class="section" id="version-2">
<h3><a class="toc-backref" href="#id32">4.1.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns a hash of the string representation so that two objects
with the same date will have the same hash.</p>
</div>
<div class="section" id="version-1">
<h3><a class="toc-backref" href="#id33">4.1.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns an object's <tt class="docutils literal"><span class="pre">id()</span></tt> so that two objects with the same
date will have different hashes.</p>
</div>
</div>
<div class="section" id="qdatetime">
<h2><a class="toc-backref" href="#id34">4.2 QDateTime</a></h2>
<div class="section" id="id2">
<h3><a class="toc-backref" href="#id35">4.2.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns a hash of the string representation so that two objects
with the same date and time will have the same hash.</p>
</div>
<div class="section" id="id3">
<h3><a class="toc-backref" href="#id36">4.2.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns an object's <tt class="docutils literal"><span class="pre">id()</span></tt> so that two objects with the same
date and time will have different hashes.</p>
</div>
</div>
<div class="section" id="qstring">
<h2><a class="toc-backref" href="#id37">4.3 QString</a></h2>
<div class="section" id="id4">
<h3><a class="toc-backref" href="#id38">4.3.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p>The <tt class="docutils literal"><span class="pre">QString</span></tt> 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 <tt class="docutils literal"><span class="pre">QString</span></tt>. However, a null <tt class="docutils literal"><span class="pre">QString</span></tt> is converted to an empty Python
string (and not <tt class="docutils literal"><span class="pre">None</span></tt>). (This is because Qt often returns a null <tt class="docutils literal"><span class="pre">QString</span></tt>
when it should probably return an empty <tt class="docutils literal"><span class="pre">QString</span></tt>.)</p>
<p>The <tt class="docutils literal"><span class="pre">QChar</span></tt> and <tt class="docutils literal"><span class="pre">QStringRef</span></tt> classes are implemented as mapped types that
are automatically converted to and from Python strings.</p>
<p>The <tt class="docutils literal"><span class="pre">QStringList</span></tt> class is implemented as a mapped type that is
automatically converted to and from Python lists of strings.</p>
<p>The <tt class="docutils literal"><span class="pre">QLatin1Char</span></tt>, <tt class="docutils literal"><span class="pre">QLatin1String</span></tt> and <tt class="docutils literal"><span class="pre">QStringMatcher</span></tt> classes are not
implemented.</p>
<p>The following Qt calls are not wrapped because they expect <tt class="docutils literal"><span class="pre">QString</span></tt> to be
mutable:</p>
<pre class="literal-block">
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)
</pre>
<p>Some PyQt calls have changed Python signatures to avoid the need for mutable
strings. The new signatures are as follows:</p>
<pre class="literal-block">
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
</pre>
<p>The static methods <tt class="docutils literal"><span class="pre">getOpenFileNameAndFilter()</span></tt>,
<tt class="docutils literal"><span class="pre">getOpenFileNamesAndFilter()</span></tt> and <tt class="docutils literal"><span class="pre">getSaveFileNameAndFilter()</span></tt> have been
added to <tt class="docutils literal"><span class="pre">QFileDialog</span></tt> (for version 1 and version 2) which return a tuple of
the name(s) and the selected filter.</p>
<p>The methods <tt class="docutils literal"><span class="pre">widthChar()</span></tt> and <tt class="docutils literal"><span class="pre">boundingRectChar()</span></tt> have been added to
<tt class="docutils literal"><span class="pre">QFontMetrics</span></tt> and <tt class="docutils literal"><span class="pre">QFontMetricsF</span></tt> which accept a Python string of length
one and call the C++ <tt class="docutils literal"><span class="pre">width()</span></tt> and <tt class="docutils literal"><span class="pre">boundingRect()</span></tt> methods passing the
character as a <tt class="docutils literal"><span class="pre">QChar</span></tt> (rather than a single character <tt class="docutils literal"><span class="pre">QString</span></tt>).</p>
</div>
<div class="section" id="id5">
<h3><a class="toc-backref" href="#id39">4.3.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p>The <tt class="docutils literal"><span class="pre">QChar</span></tt>, <tt class="docutils literal"><span class="pre">QLatin1Char</span></tt>, <tt class="docutils literal"><span class="pre">QLatin1String</span></tt>, <tt class="docutils literal"><span class="pre">QString</span></tt>,
<tt class="docutils literal"><span class="pre">QStringList</span></tt>, <tt class="docutils literal"><span class="pre">QStringMatcher</span></tt> and <tt class="docutils literal"><span class="pre">QStringRef</span></tt> classes are implemented
as normal types.</p>
</div>
</div>
<div class="section" id="qtextstream">
<h2><a class="toc-backref" href="#id40">4.4 QTextStream</a></h2>
<div class="section" id="id6">
<h3><a class="toc-backref" href="#id41">4.4.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p>The C++ functions <tt class="docutils literal"><span class="pre">bin()</span></tt>, <tt class="docutils literal"><span class="pre">hex()</span></tt> and <tt class="docutils literal"><span class="pre">oct()</span></tt> are named <tt class="docutils literal"><span class="pre">bin_()</span></tt>,
<tt class="docutils literal"><span class="pre">hex_()</span></tt> and <tt class="docutils literal"><span class="pre">oct_()</span></tt> respectively in Python. This allows the import
style <tt class="docutils literal"><span class="pre">from</span> <span class="pre">PyQt4.QtCore</span> <span class="pre">import</span> <span class="pre">*</span></tt> to be used without them clashing with the
Python built-in functions with the same names.</p>
</div>
<div class="section" id="id7">
<h3><a class="toc-backref" href="#id42">4.4.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p>The C++ functions <tt class="docutils literal"><span class="pre">bin()</span></tt>, <tt class="docutils literal"><span class="pre">hex()</span></tt> and <tt class="docutils literal"><span class="pre">oct()</span></tt> have the same names in
Python. This causes problems when the import style
<tt class="docutils literal"><span class="pre">from</span> <span class="pre">PyQt4.QtCore</span> <span class="pre">import</span> <span class="pre">*</span></tt> is used because they clash with the Python
built-in functions with the same names.</p>
</div>
</div>
<div class="section" id="qtime">
<h2><a class="toc-backref" href="#id43">4.5 QTime</a></h2>
<div class="section" id="id8">
<h3><a class="toc-backref" href="#id44">4.5.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns a hash of the string representation so that two objects
with the same time will have the same hash.</p>
</div>
<div class="section" id="id9">
<h3><a class="toc-backref" href="#id45">4.5.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns an object's <tt class="docutils literal"><span class="pre">id()</span></tt> so that two objects with the same
time will have different hashes.</p>
</div>
</div>
<div class="section" id="qurl">
<h2><a class="toc-backref" href="#id46">4.6 QUrl</a></h2>
<div class="section" id="id10">
<h3><a class="toc-backref" href="#id47">4.6.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns a hash of the string representation so that two objects
with the same URL will have the same hash.</p>
</div>
<div class="section" id="id11">
<h3><a class="toc-backref" href="#id48">4.6.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p><tt class="docutils literal"><span class="pre">__hash__()</span></tt> returns an object's <tt class="docutils literal"><span class="pre">id()</span></tt> so that two objects with the same
URL will have different hashes.</p>
</div>
</div>
<div class="section" id="id12">
<h2><a class="toc-backref" href="#id49">4.7 QVariant</a></h2>
<div class="section" id="id13">
<h3><a class="toc-backref" href="#id50">4.7.1 Version 2</a></h3>
<p>This is the default for Python v3.</p>
<p>The <tt class="docutils literal"><span class="pre">QVariant</span></tt> class is implemented as a mapped type. Any Python object can
be passed when a <tt class="docutils literal"><span class="pre">QVariant</span></tt> instance is expected. When Qt returns a
<tt class="docutils literal"><span class="pre">QVariant</span></tt> then it will automatically be converted to the original Python
object or an equivalent. <tt class="docutils literal"><span class="pre">None</span></tt> is interpreted as an invalid <tt class="docutils literal"><span class="pre">QVariant</span></tt>
and vice versa.</p>
</div>
<div class="section" id="id14">
<h3><a class="toc-backref" href="#id51">4.7.2 Version 1</a></h3>
<p>This is the default for Python v2.</p>
<p>The <tt class="docutils literal"><span class="pre">QVariant</span></tt> class is implememted as a normal type. Any Python object
can be passed when a <tt class="docutils literal"><span class="pre">QVariant</span></tt> instance is expected and <tt class="docutils literal"><span class="pre">None</span></tt> is
interpreted as an invalid <tt class="docutils literal"><span class="pre">QVariant</span></tt>. However, when Qt returns a
<tt class="docutils literal"><span class="pre">QVariant</span></tt> then it must be explicitly converted to the original Python
object or an equivalent by calling its <tt class="docutils literal"><span class="pre">toPyObject()</span></tt> method.</p>
</div>
</div>
</div>
<div class="section" id="support-for-keyword-arguments">
<h1><a class="toc-backref" href="#id52">5 Support for Keyword Arguments</a></h1>
<p>Starting with v4.7 PyQt supports the use of keyword arguments for optional
arguments.</p>
<p>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.</p>
<p>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.</p>
</div>
<div class="section" id="support-for-qt-properties">
<h1><a class="toc-backref" href="#id53">6 Support for Qt Properties</a></h1>
<p>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.</p>
<p>However, PyQt does support the initial setting of properties using keyword
arguments passed when an instance is created. For example:</p>
<pre class="literal-block">
act = QtGui.QAction("&Save", self, shortcut=QtGui.QKeySequence.Save,
statusTip="Save the document to disk", triggered=self.save)
</pre>
<p>The example also demonstrates the use of a keyword argument to connect a
signal to a slot.</p>
<p>PyQt also supports setting the values of properties (and connecting a signal
to a slot) using the <tt class="docutils literal"><span class="pre">pyqtConfigure()</span></tt> method of <tt class="docutils literal"><span class="pre">QObject</span></tt>. For example,
the following gives the same results as above:</p>
<pre class="literal-block">
act = QtGui.QAction("&Save", self)
act.pyqtConfigure(shortcut=QtGui.QKeySequence.Save,
statusTip="Save the document to disk", triggered=self.save)
</pre>
</div>
<div class="section" id="new-style-signal-and-slot-support">
<h1><a class="toc-backref" href="#id54">7 New-style Signal and Slot Support</a></h1>
<p>This section describes the new style of connecting signals and slots
introduced in PyQt v4.5.</p>
<p>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.</p>
<p>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.</p>
<p>The signal/slot mechanism has the following features.</p>
<ul class="simple">
<li>A signal may be connected to many slots.</li>
<li>A signal may also be connected to another signal.</li>
<li>Signal arguments may be any Python type.</li>
<li>A slot may be connected to many signals.</li>
<li>Connections may be direct (ie. synchronous) or queued (ie. asynchronous).</li>
<li>Connections may be made across threads.</li>
<li>Signals may be disconnected.</li>
</ul>
<div class="section" id="unbound-and-bound-signals">
<h2><a class="toc-backref" href="#id55">7.1 Unbound and Bound Signals</a></h2>
<p>A signal (specifically an unbound signal) is an attribute of a class that is a
sub-class of <tt class="docutils literal"><span class="pre">QObject</span></tt>. 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 <em>bound signal</em>. This is the same mechanism that Python
itself uses to create bound methods from class functions.</p>
<p>A bound signal has <tt class="docutils literal"><span class="pre">connect()</span></tt>, <tt class="docutils literal"><span class="pre">disconnect()</span></tt> and <tt class="docutils literal"><span class="pre">emit()</span></tt> methods that
implement the associated functionality.</p>
<p>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.</p>
<p>If a signal is overloaded then it will have a default that will be used if no
index is given.</p>
<p>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.</p>
</div>
<div class="section" id="defining-new-signals-with-qtcore-pyqtsignal">
<h2><a class="toc-backref" href="#id56">7.2 Defining New Signals with <tt class="docutils literal"><span class="pre">QtCore.pyqtSignal()</span></tt></a></h2>
<p>PyQt automatically defines signals for all Qt's built-in signals. New signals
can be defined as class attributes using the <tt class="docutils literal"><span class="pre">QtCore.pyqtSignal()</span></tt> factory.</p>
<p><tt class="docutils literal"><span class="pre">QtCore.pyqtSignal()</span></tt> 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.</p>
<p><tt class="docutils literal"><span class="pre">QtCore.pyqtSignal()</span></tt> takes an optional <em>name</em> keyword argument that is the
name of the signal. If it is omitted then the name of the class attribute is
used.</p>
<p>The following example shows the definition of a number of new signals:</p>
<pre class="literal-block">
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'])
</pre>
<p>New signals should only be defined in sub-classes of <tt class="docutils literal"><span class="pre">QObject</span></tt>.</p>
<p>New signals defined in this way will be automatically added to the class's
<tt class="docutils literal"><span class="pre">QMetaObject</span></tt>. This means that they will appear in Qt Designer and can be
introspected using the <tt class="docutils literal"><span class="pre">QMetaObject</span></tt> API.</p>
</div>
<div class="section" id="connecting-disconnecting-and-emitting-signals">
<h2><a class="toc-backref" href="#id57">7.3 Connecting, Disconnecting and Emitting Signals</a></h2>
<p>Signals are connected to slots using the <tt class="docutils literal"><span class="pre">connect()</span></tt> method of a bound
signal:</p>
<pre class="literal-block">
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.
</pre>
<p>Signals are disconnected from slots using the <tt class="docutils literal"><span class="pre">disconnect()</span></tt> method of a
bound signal:</p>
<pre class="literal-block">
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.
</pre>
<p>Signals are emitted from using the <tt class="docutils literal"><span class="pre">emit()</span></tt> method of a bound signal:</p>
<pre class="literal-block">
emit(*args)
*args* is the optional sequence of arguments to pass to any connected
slots.
</pre>
<p>The following code demonstrates the definition, connection and emit of a
signal without arguments:</p>
<pre class="literal-block">
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"
</pre>
<p>The following code demonstrates the connection of overloaded signals:</p>
<pre class="literal-block">
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
</pre>
</div>
<div class="section" id="connecting-signals-using-keyword-arguments">
<h2><a class="toc-backref" href="#id58">7.4 Connecting Signals Using Keyword Arguments</a></h2>
<p>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
<tt class="docutils literal"><span class="pre">pyqtConfigure()</span></tt> method of <tt class="docutils literal"><span class="pre">QObject</span></tt>. For example the following three
fragments are equivalent:</p>
<pre class="literal-block">
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)
</pre>
</div>
<div class="section" id="the-qtcore-pyqtslot-decorator">
<h2><a class="toc-backref" href="#id59">7.5 The <tt class="docutils literal"><span class="pre">QtCore.pyqtSlot()</span></tt> Decorator</a></h2>
<p>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
<tt class="docutils literal"><span class="pre">QtCore.pyqtSlot()</span></tt> function decorator to do this.</p>
<p>Using the decorator also has the advantage of reducing the amount of memory
used and is slightly faster.</p>
<p>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: <tt class="docutils literal"><span class="pre">name</span></tt> and <tt class="docutils literal"><span class="pre">result</span></tt>. <tt class="docutils literal"><span class="pre">name</span></tt> 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. <tt class="docutils literal"><span class="pre">result</span></tt> is the type of the result and may also be
a Python type object or a string that specifies a C++ type.</p>
<p>For example:</p>
<pre class="literal-block">
@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 *) """
</pre>
<p>It is also possible to chain the decorators in order to define a Python method
several times with different signatures.</p>
<p>For example:</p>
<pre class="literal-block">
@QtCore.pyqtSlot(int)
@QtCore.pyqtSlot('QString')
def valueChanged(self, value):
""" Two slots will be defined in the QMetaObject. """
</pre>
<p>The following sections describe the situations that the <tt class="docutils literal"><span class="pre">QtCore.pyqtSlot()</span></tt>
decorator might be used.</p>
<div class="section" id="integrating-python-and-javascript-in-qtwebkit">
<h3><a class="toc-backref" href="#id60">7.5.1 Integrating Python and JavaScript in QtWebKit</a></h3>
<p>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.</p>
<p>In the same way, properties created using <tt class="docutils literal"><span class="pre">QtCore.pyqtProperty()</span></tt> are also
automatically exposed as JavaScript properties.</p>
</div>
<div class="section" id="using-python-widgets-in-qt-designer">
<h3><a class="toc-backref" href="#id61">7.5.2 Using Python Widgets in Qt Designer</a></h3>
<p>Using the decorator is one part of enabling a GUI widget implemented in Python
to be used in Qt Designer in the same way as a widget implemented in C++. See
<a class="reference internal" href="#writing-qt-designer-plugins">Writing Qt Designer Plugins</a> for the details.</p>
</div>
<div class="section" id="connecting-slots-by-name">
<h3><a class="toc-backref" href="#id62">7.5.3 Connecting Slots By Name</a></h3>
<p>PyQt supports the <tt class="docutils literal"><span class="pre">QtCore.QMetaObject.connectSlotsByName()</span></tt> function that
is most commonly used by <a class="reference internal" href="#pyuic4">pyuic4</a> 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.</p>
<p>For example the <tt class="docutils literal"><span class="pre">QtGui.QSpinBox</span></tt> class has the following signals:</p>
<pre class="literal-block">
void valueChanged(int i);
void valueChanged(const QString &text);
</pre>
<p>When the value of the spin box changes both of these signals will be emitted.
If you have implemented a slot called <tt class="docutils literal"><span class="pre">on_spinbox_valueChanged</span></tt> (which
assumes that you have given the <tt class="docutils literal"><span class="pre">QSpinBox</span></tt> instance the name <tt class="docutils literal"><span class="pre">spinbox</span></tt>)
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 <tt class="docutils literal"><span class="pre">QString</span></tt> argument.</p>
<p>This also happens with signals that take optional arguments. Qt implements
this using multiple signals. For example, <tt class="docutils literal"><span class="pre">QtGui.QAbstractButton</span></tt> has the
following signal:</p>
<pre class="literal-block">
void clicked(bool checked = false);
</pre>
<p>Qt implements this as the following:</p>
<pre class="literal-block">
void clicked();
void clicked(bool checked);
</pre>
<p>The decorator can be used to specify which of the signals should be connected
to the slot.</p>
<p>For example, if you were only interested in the integer variant of the signal
then your slot definition would look like the following:</p>
<pre class="literal-block">
@QtCore.pyqtSlot(int)
def on_spinbox_valueChanged(self, i):
# i will be an integer.
pass
</pre>
<p>If you wanted to handle both variants of the signal, but with different Python
methods, then your slot definitions might look like the following:</p>
<pre class="literal-block">
@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
</pre>
<p>The following shows an example using a button when you are not interested in
the optional argument:</p>
<pre class="literal-block">
@QtCore.pyqtSlot()
def on_button_clicked(self):
pass
</pre>
</div>
</div>
</div>
<div class="section" id="old-style-signal-and-slot-support">
<h1><a class="toc-backref" href="#id63">8 Old-style Signal and Slot Support</a></h1>
<p>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.</p>
<ul class="simple">
<li>It is well understood and documented.</li>
<li>Any future changes to the C++ API should be easily included.</li>
</ul>
<p>It also has a number of disadvantages.</p>
<ul class="simple">
<li>It requires knowledge of the C++ types of signal arguments.</li>
<li>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.</li>
<li>It is verbose.</li>
<li>It is not Pythonic.</li>
</ul>
<p>This older style of connecting signals and slots will continue to be supported
throughout the life of PyQt v4.</p>
<div class="section" id="pyqt-signals-and-qt-signals">
<h2><a class="toc-backref" href="#id64">8.1 PyQt Signals and Qt Signals</a></h2>
<p>Qt signals are statically defined as part of a C++ class. They are referenced
using the <tt class="docutils literal"><span class="pre">QtCore.SIGNAL()</span></tt> function. This method takes a single string
argument that is the name of the signal and its C++ signature. For example:</p>
<pre class="literal-block">
QtCore.SIGNAL("finished(int)")
</pre>
<p>The returned value is normally passed to the <tt class="docutils literal"><span class="pre">QtCore.QObject.connect()</span></tt>
method.</p>
<p>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 <tt class="docutils literal"><span class="pre">QtCore.SIGNAL()</span></tt> function.</p>
</div>
<div class="section" id="the-pyqt-pyobject-signal-argument-type">
<h2><a class="toc-backref" href="#id65">8.2 The <tt class="docutils literal"><span class="pre">PyQt_PyObject</span></tt> Signal Argument Type</a></h2>
<p>It is possible to pass any Python object as a signal argument by specifying
<tt class="docutils literal"><span class="pre">PyQt_PyObject</span></tt> as the type of the argument in the signature. For example:</p>
<pre class="literal-block">
QtCore.SIGNAL("finished(PyQt_PyObject)")
</pre>
<p>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.</p>
<p>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 <tt class="docutils literal"><span class="pre">QtCore.QObject.emit()</span></tt>, even if a connection is queued.</p>
</div>
<div class="section" id="short-circuit-signals">
<h2><a class="toc-backref" href="#id66">8.3 Short-circuit Signals</a></h2>
<p>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 <tt class="docutils literal"><span class="pre">PyQt_PyObject</span></tt>.</p>
<p>Short-circuit signals do not have a list of arguments or the surrounding
parentheses.</p>
<p>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.</p>
</div>
<div class="section" id="pyqt-slots-and-qt-slots">
<h2><a class="toc-backref" href="#id67">8.4 PyQt Slots and Qt Slots</a></h2>
<p>Qt slots are statically defined as part of a C++ class. They are referenced
using the <tt class="docutils literal"><span class="pre">QtCore.SLOT()</span></tt> function. This method takes a single string
argument that is the name of the slot and its C++ signature. For example:</p>
<pre class="literal-block">
QtCore.SLOT("done(int)")
</pre>
<p>The returned value is normally passed to the <tt class="docutils literal"><span class="pre">QtCore.QObject.connect()</span></tt>
method.</p>
<p>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 <tt class="docutils literal"><span class="pre">QtCore.SLOT()</span></tt> for Qt slots. However, doing so
is more efficient as it avoids a conversion to Python and back to C++.</p>
<p>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.</p>
<p>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.</p>
</div>
<div class="section" id="connecting-signals-and-slots">
<h2><a class="toc-backref" href="#id68">8.5 Connecting Signals and Slots</a></h2>
<p>Connections between signals and slots (and other signals) are made using the
<tt class="docutils literal"><span class="pre">QtCore.QObject.connect()</span></tt> method. For example:</p>
<pre class="literal-block">
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)
</pre>
<p>Disconnecting signals works in exactly the same way using the
<tt class="docutils literal"><span class="pre">QtCore.QObject.disconnect()</span></tt> method. However, not all the variations of
that method are supported by PyQt. Signals must be disconnected one at a
time.</p>
</div>
<div class="section" id="emitting-signals">
<h2><a class="toc-backref" href="#id69">8.6 Emitting Signals</a></h2>
<p>Any instance of a class that is derived from the <tt class="docutils literal"><span class="pre">QtCore.QObject</span></tt> class can
emit a signal using its <tt class="docutils literal"><span class="pre">emit()</span></tt> 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:</p>
<pre class="literal-block">
a.emit(QtCore.SIGNAL("clicked()"))
a.emit(QtCore.SIGNAL("pySig"), "Hello", "World")
</pre>
</div>
<div class="section" id="the-qtcore-pyqtsignature-decorator">
<h2><a class="toc-backref" href="#id70">8.7 The <tt class="docutils literal"><span class="pre">QtCore.pyqtSignature()</span></tt> Decorator</a></h2>
<p>The <tt class="docutils literal"><span class="pre">QtCore.pyqtSignature()</span></tt> serves the same purpose as the
<tt class="docutils literal"><span class="pre">QtCore.pyqtSlot()</span></tt> decorator but has a less Pythonic API.</p>
</div>
</div>
<div class="section" id="python-objects-and-qvariant">
<h1><a class="toc-backref" href="#id71">9 Python Objects and QVariant</a></h1>
<p>Qt uses the <tt class="docutils literal"><span class="pre">QVariant</span></tt> class as a wrapper for any C++ data type. PyQt allows
any Python object to be wrapped as a <tt class="docutils literal"><span class="pre">QVariant</span></tt> and passed around Qt's
meta-object system like any other type.</p>
<p>PyQt will try to convert the Python object to a C++ equivalent if it can so
that the <tt class="docutils literal"><span class="pre">QVariant</span></tt> can be passed to other C++ code that doesn't know what a
Python object is.</p>
<p>PyQt provides the <tt class="docutils literal"><span class="pre">toPyObject()</span></tt> method of <tt class="docutils literal"><span class="pre">QVariant</span></tt> which will convert
the <tt class="docutils literal"><span class="pre">QVariant</span></tt> back to a Python object of the correct type. It will raise a
Python exception if it cannot do so.</p>
</div>
<div class="section" id="support-for-pickling">
<h1><a class="toc-backref" href="#id72">10 Support for Pickling</a></h1>
<p>The following PyQt classes may be pickled.</p>
<blockquote>
<ul class="simple">
<li>QByteArray</li>
<li>QChar</li>
<li>QColor</li>
<li>QDate</li>
<li>QDateTime</li>
<li>QKeySequence</li>
<li>QLatin1Char</li>
<li>QLatin1String</li>
<li>QLine</li>
<li>QLineF</li>
<li>QMatrix</li>
<li>QPoint</li>
<li>QPointF</li>
<li>QPolygon</li>
<li>QRect</li>
<li>QRectF</li>
<li>QSize</li>
<li>QSizeF</li>
<li>QString</li>
<li>QTime</li>
</ul>
</blockquote>
<p>Also all named enums (<tt class="docutils literal"><span class="pre">QtCore.Qt.Key</span></tt> for example) may be pickled.</p>
</div>
<div class="section" id="support-for-python-s-buffer-interface">
<h1><a class="toc-backref" href="#id73">11 Support for Python's Buffer Interface</a></h1>
<p>If SIP v4.7.5 or later is used then any Python object that supports the buffer
interface can be used whenever a <tt class="docutils literal"><span class="pre">char</span></tt> or <tt class="docutils literal"><span class="pre">char</span> <span class="pre">*</span></tt> is expected. If the
buffer has multiple segments then all but the first will be ignored.</p>
</div>
<div class="section" id="using-pyqt-from-the-python-shell">
<h1><a class="toc-backref" href="#id74">12 Using PyQt from the Python Shell</a></h1>
<p>PyQt installs an input hook (using <tt class="docutils literal"><span class="pre">PyOS_InputHook</span></tt>) 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.</p>
<p>For example, if you enter the following in the Python shell:</p>
<pre class="literal-block">
>>> from PyQt4 import QtGui
>>> a = QtGui.QApplication([])
>>> w = QtGui.QWidget()
>>> w.show()
>>> w.hide()
>>>
</pre>
<p>The widget would be displayed when <tt class="docutils literal"><span class="pre">w.show()</span></tt> was entered amd hidden as soon
as <tt class="docutils literal"><span class="pre">w.hide()</span></tt> was entered.</p>
<p>The installation of an input hook can cause problems for certain applications
(particularly those that implement a similar feature using different means).
The <tt class="docutils literal"><span class="pre">QtCore</span></tt> module contains the <tt class="docutils literal"><span class="pre">pyqtRemoveInputHook()</span></tt> and
<tt class="docutils literal"><span class="pre">pyqtRestoreInputHook()</span></tt> functions that remove and restore the input hook
respectively.</p>
</div>
<div class="section" id="using-qt-designer">
<h1><a class="toc-backref" href="#id75">13 Using Qt Designer</a></h1>
<p>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.</p>
<p>Qt Designer uses XML <tt class="docutils literal"><span class="pre">.ui</span></tt> files to store designs and does not generate any
code itself. Qt includes the <tt class="docutils literal"><span class="pre">uic</span></tt> utility that generates the C++ code that
creates the user interface. Qt also includes the <tt class="docutils literal"><span class="pre">QUiLoader</span></tt> class that
allows an application to load a <tt class="docutils literal"><span class="pre">.ui</span></tt> file and to create the corresponding
user interface dynamically.</p>
<p>PyQt does not wrap the <tt class="docutils literal"><span class="pre">QUiLoader</span></tt> class but instead includes the <tt class="docutils literal"><span class="pre">uic</span></tt>
Python module. Like <tt class="docutils literal"><span class="pre">QUiLoader</span></tt> this module can load <tt class="docutils literal"><span class="pre">.ui</span></tt> files to create
a user interface dynamically. Like the <tt class="docutils literal"><span class="pre">uic</span></tt> utility it can also generate
the Python code that will create the user interface. PyQt's <tt class="docutils literal"><span class="pre">pyuic4</span></tt>
utility is a command line interface to the <tt class="docutils literal"><span class="pre">uic</span></tt> module. Both are described
in detail in the following sections.</p>
<div class="section" id="using-the-generated-code">
<h2><a class="toc-backref" href="#id76">13.1 Using the Generated Code</a></h2>
<p>The code that is generated has an identical structure to that generated by Qt's
<tt class="docutils literal"><span class="pre">uic</span></tt> and can be used in the same way.</p>
<p>The code is structured as a single class that is derived from the Python
<tt class="docutils literal"><span class="pre">object</span></tt> type. The name of the class is the name of the toplevel object set
in Designer with <tt class="docutils literal"><span class="pre">Ui_</span></tt> prepended. (In the C++ version the class is defined
in the <tt class="docutils literal"><span class="pre">Ui</span></tt> namespace.) We refer to this class as the <em>form class</em>.</p>
<p>The class contains a method called <tt class="docutils literal"><span class="pre">setupUi()</span></tt>. This takes a single argument
which is the widget in which the user interface is created. The type of this
argument (typically <tt class="docutils literal"><span class="pre">QDialog</span></tt>, <tt class="docutils literal"><span class="pre">QWidget</span></tt> or <tt class="docutils literal"><span class="pre">QMainWindow</span></tt>) is set in
Designer. We refer to this type as the <em>Qt base class</em>.</p>
<p>In the following examples we assume that a <tt class="docutils literal"><span class="pre">.ui</span></tt> file has been created
containing a dialog and the name of the <tt class="docutils literal"><span class="pre">QDialog</span></tt> object is <tt class="docutils literal"><span class="pre">ImageDialog</span></tt>.
We also assume that the name of the file containing the generated Python code
is <tt class="docutils literal"><span class="pre">ui_imagedialog.py</span></tt>. The generated code can then be used in a number of
ways.</p>
<p>The first example shows the direct approach where we simply create a simple
application to create the dialog:</p>
<pre class="literal-block">
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_())
</pre>
<p>The second example shows the single inheritance approach where we sub-class
<tt class="docutils literal"><span class="pre">QDialog</span></tt> and set up the user interface in the <tt class="docutils literal"><span class="pre">__init__()</span></tt> method:</p>
<pre class="literal-block">
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()"))
</pre>
<p>The third example shows the multiple inheritance approach:</p>
<pre class="literal-block">
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()"))
</pre>
<p>It is also possible to use the same approach used in PyQt v3. This is shown in
the final example:</p>
<pre class="literal-block">
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()"))
</pre>
<p>For a full description see the Qt Designer Manual in the Qt Documentation.</p>
</div>
<div class="section" id="the-uic-module">
<h2><a class="toc-backref" href="#id77">13.2 The <tt class="docutils literal"><span class="pre">uic</span></tt> Module</a></h2>
<p>The <tt class="docutils literal"><span class="pre">uic</span></tt> module contains the following functions and objects.</p>
<dl class="docutils">
<dt>widgetPluginPath</dt>
<dd>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.</dd>
<dt>compileUi(uifile, pyfile, execute=False, indent=4, pyqt3_wrapper=False)</dt>
<dd><p class="first">This function generates a Python module that will create a user interface
from a Qt Designer <tt class="docutils literal"><span class="pre">.ui</span></tt> file.</p>
<p><tt class="docutils literal"><span class="pre">uifile</span></tt> is a file name or file-like object containing the <tt class="docutils literal"><span class="pre">.ui</span></tt> file.</p>
<p><tt class="docutils literal"><span class="pre">pyfile</span></tt> is the file-like object to which the generated Python code will
be written to.</p>
<p><tt class="docutils literal"><span class="pre">execute</span></tt> 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.</p>
<p><tt class="docutils literal"><span class="pre">indent</span></tt> is the optional number of spaces used for indentation in the
generated code. If it is zero then a tab character is used instead.</p>
<p class="last"><tt class="docutils literal"><span class="pre">pyqt3_wrapper</span></tt> 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.</p>
</dd>
<dt>compileUiDir(dir, recurse=False, map=None, **compileUi_args)</dt>
<dd><p class="first">This function creates Python modules from Qt Designer <tt class="docutils literal"><span class="pre">.ui</span></tt> files in a
directory or directory tree.</p>
<p><tt class="docutils literal"><span class="pre">dir</span></tt> is the name of the directory to scan for files whose name ends
with <tt class="docutils literal"><span class="pre">.ui</span></tt>. By default the generated Python module is created in the
same directory ending with <tt class="docutils literal"><span class="pre">.py</span></tt>.</p>
<p><tt class="docutils literal"><span class="pre">recurse</span></tt> is set if any sub-directories should be scanned.</p>
<p><tt class="docutils literal"><span class="pre">map</span></tt> is an optional callable that is passed the name of the directory
containing the <tt class="docutils literal"><span class="pre">.ui</span></tt> 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.</p>
<p class="last"><tt class="docutils literal"><span class="pre">compileUi_args</span></tt> are any additional keyword arguments that are passed to
the <tt class="docutils literal"><span class="pre">compileUi()</span></tt> function that is called to create each Python module.</p>
</dd>
<dt>loadUiType(uifile)</dt>
<dd><p class="first">This function loads a Qt Designer <tt class="docutils literal"><span class="pre">.ui</span></tt> file and returns a tuple of the
generated <em>form class</em> and the <em>Qt base class</em>. These can then be used to
create any number of instances of the user interface without having to
parse the <tt class="docutils literal"><span class="pre">.ui</span></tt> file more than once.</p>
<p class="last"><tt class="docutils literal"><span class="pre">uifile</span></tt> is a file name or file-like object containing the <tt class="docutils literal"><span class="pre">.ui</span></tt> file.</p>
</dd>
<dt>loadUi(uifile, baseinstance=None)</dt>
<dd><p class="first">This function loads a Qt Designer <tt class="docutils literal"><span class="pre">.ui</span></tt> file and returns an instance of
the user interface.</p>
<p><tt class="docutils literal"><span class="pre">uifile</span></tt> is a file name or file-like object containing the <tt class="docutils literal"><span class="pre">.ui</span></tt> file.</p>
<p class="last"><tt class="docutils literal"><span class="pre">baseinstance</span></tt> is an optional instance of the <em>Qt base class</em>. If
specified then the user interface is created in it. Otherwise a new
instance of the base class is automatically created.</p>
</dd>
</dl>
</div>
<div class="section" id="pyuic4">
<h2><a class="toc-backref" href="#id78">13.3 pyuic4</a></h2>
<p>The <tt class="docutils literal"><span class="pre">pyuic4</span></tt> utility is a command line interface to the <tt class="docutils literal"><span class="pre">uic</span></tt> module. The
command has the following syntax:</p>
<pre class="literal-block">
pyuic4 [options] .ui-file
</pre>
<p>The full set of command line options is:</p>
<table class="docutils option-list" frame="void" rules="none">
<col class="option" />
<col class="description" />
<tbody valign="top">
<tr><td class="option-group">
<kbd><span class="option">-h</span>, <span class="option">--help</span></kbd></td>
<td>A help message is written to <tt class="docutils literal"><span class="pre">stdout</span></tt>.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">--version</span></kbd></td>
<td>The version number is written to <tt class="docutils literal"><span class="pre">stdout</span></tt>.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-i <var>N</var></span>, <span class="option">--indent=<var>N</var></span></kbd></td>
</tr>
<tr><td> </td><td>The Python code is generated using an indentation of N
spaces. If N is 0 then a tab is used. The default is
4.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-o <var>FILE</var></span>, <span class="option">--output=<var>FILE</var></span></kbd></td>
</tr>
<tr><td> </td><td>The Python code generated is written to the file FILE.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-p</span>, <span class="option">--preview</span></kbd></td>
<td>The GUI is created dynamically and displayed. No
Python code is generated.</td></tr>
<tr><td class="option-group" colspan="2">
<kbd><span class="option">-w</span>, <span class="option">--pyqt3-wrapper</span></kbd></td>
</tr>
<tr><td> </td><td>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.</td></tr>
<tr><td class="option-group">
<kbd><span class="option">-x</span>, <span class="option">--execute</span></kbd></td>
<td>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.</td></tr>
</tbody>
</table>
<p>Note that code generated by <tt class="docutils literal"><span class="pre">pyuic4</span></tt> 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 <tt class="docutils literal"><span class="pre">pyuic4</span></tt>, or call
<tt class="docutils literal"><span class="pre">PyQt4.uic.compileUi()</span></tt>, as part of your installation process. Another
alternative would be to distribute the <tt class="docutils literal"><span class="pre">.ui</span></tt> files (perhaps as part of a
resource file) and have your application load them dynamically.</p>
</div>
<div class="section" id="writing-qt-designer-plugins">
<h2><a class="toc-backref" href="#id79">13.4 Writing Qt Designer Plugins</a></h2>
<p>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.</p>
<p>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.</p>
<p>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.</p>
<blockquote>
<ul class="simple">
<li>Designer needs to have a C++ plugin that conforms to the interface
defined by the <tt class="docutils literal"><span class="pre">QDesignerCustomWidgetInterface</span></tt> class. (If the plugin
exposes more than one custom widget then it must conform to the
interface defined by the <tt class="docutils literal"><span class="pre">QDesignerCustomWidgetCollectionInterface</span></tt>
class.) In addition the plugin class must sub-class <tt class="docutils literal"><span class="pre">QObject</span></tt> as well
as the interface class. PyQt does not allow Python classes to be
sub-classed from more than one Qt class.</li>
<li>Designer can only connect Qt signals and slots. It has no understanding
of Python signals or callables.</li>
<li>Designer can only edit Qt properties that represent C++ types. It has no
understanding of Python attributes or Python types.</li>
</ul>
</blockquote>
<p>PyQt provides the following components and features to resolve these issues as
simply as possible.</p>
<blockquote>
<ul>
<li><p class="first">PyQt's QtDesigner module includes additional classes (all of which have a
<tt class="docutils literal"><span class="pre">QPy</span></tt> 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 <tt class="docutils literal"><span class="pre">QObject</span></tt> and <tt class="docutils literal"><span class="pre">QDesignerCustomWidgetInterface</span></tt>, a Python custom
widget plugin would instead sub-class from
<tt class="docutils literal"><span class="pre">QPyDesignerCustomWidgetPlugin</span></tt>.</p>
</li>
<li><p class="first">PyQt installs a C++ plugin in Designer's plugin directory. It conforms
to the interface defined by the
<tt class="docutils literal"><span class="pre">QDesignerCustomWidgetCollectionInterface</span></tt> class. It searches a
configurable set of directories looking for Python plugins that
implement a class sub-classed from <tt class="docutils literal"><span class="pre">QPyDesignerCustomWidgetPlugin</span></tt>.
Each class that is found is instantiated and the instance created is
added to the custom widget collection.</p>
<p>The <tt class="docutils literal"><span class="pre">PYQTDESIGNERPATH</span></tt> 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 <tt class="docutils literal"><span class="pre">python</span></tt> 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 <tt class="docutils literal"><span class="pre">plugin</span></tt> then it is ignored.</p>
</li>
<li><p class="first">A Python custom widget may define new Qt signals using
<tt class="docutils literal"><span class="pre">QtCore.pyqtSignal()</span></tt>.</p>
</li>
<li><p class="first">A Python class method may be defined as a new Qt slot by using the
<tt class="docutils literal"><span class="pre">QtCore.pyqtSlot</span></tt> decorator. For example:</p>
<pre class="literal-block">
# 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
</pre>
</li>
<li><p class="first">A new Qt property may be defined using the <tt class="docutils literal"><span class="pre">QtCore.pyqtProperty()</span></tt>
function. It is used in the same way as the standard Python
<tt class="docutils literal"><span class="pre">property()</span></tt> function. In fact, Qt properties defined in this way
also behave as Python properties. The full signature of the function is
as follows:</p>
<pre class="literal-block">
pyqtProperty(type, fget=None, fset=None, freset=None, fdel=None, doc=None, designable=True, scriptable=True, stored=True, user=False, constant=False, final=False)
</pre>
<p><tt class="docutils literal"><span class="pre">type</span></tt> is the type of the property. It is either a Python type object
or a string that is the name of a C++ type.
<tt class="docutils literal"><span class="pre">freset</span></tt> is a function used to reset the value of the property to its
default value.
<tt class="docutils literal"><span class="pre">designable</span></tt> sets the Qt DESIGNABLE flag.
<tt class="docutils literal"><span class="pre">scriptable</span></tt> sets the Qt SCRIPTABLE flag.
<tt class="docutils literal"><span class="pre">stored</span></tt> sets the Qt STORED flag.
<tt class="docutils literal"><span class="pre">user</span></tt> sets the Qt USER flag.
<tt class="docutils literal"><span class="pre">constant</span></tt> sets the Qt CONSTANT flag.
<tt class="docutils literal"><span class="pre">final</span></tt> sets the Qt FINAL flag.</p>
<p>The remaining arguments are the same as those used by the standard
<tt class="docutils literal"><span class="pre">property()</span></tt> function.</p>
<p>Qt makes no use of the <tt class="docutils literal"><span class="pre">fdel</span></tt> function and Python makes no use of the
<tt class="docutils literal"><span class="pre">freset</span></tt> function, or the <tt class="docutils literal"><span class="pre">designable</span></tt>, <tt class="docutils literal"><span class="pre">scriptable</span></tt>, <tt class="docutils literal"><span class="pre">stored</span></tt>,
<tt class="docutils literal"><span class="pre">user</span></tt>, <tt class="docutils literal"><span class="pre">constant</span></tt> and <tt class="docutils literal"><span class="pre">final</span></tt> flags.</p>
</li>
</ul>
</blockquote>
<p>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.</p>
<p>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
<tt class="docutils literal"><span class="pre">examples/designer/plugins</span></tt> directory of the PyQt source package. The
<tt class="docutils literal"><span class="pre">widgets</span></tt> subdirectory contains the <tt class="docutils literal"><span class="pre">pydemo.py</span></tt> custom widget and the
<tt class="docutils literal"><span class="pre">python</span></tt> subdirectory contains its <tt class="docutils literal"><span class="pre">pydemoplugin.py</span></tt> plugin.</p>
</div>
</div>
<div class="section" id="the-pyqt-resource-system">
<h1><a class="toc-backref" href="#id80">14 The PyQt Resource System</a></h1>
<p>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.</p>
<p>A <tt class="docutils literal"><span class="pre">.qrc</span></tt> 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.</p>
<p>For a full description, including the format of the <tt class="docutils literal"><span class="pre">.qrc</span></tt> files, see the Qt
Resource System in the Qt documentation.</p>
<div class="section" id="pyrcc4">
<h2><a class="toc-backref" href="#id81">14.1 pyrcc4</a></h2>
<p><tt class="docutils literal"><span class="pre">pyrcc4</span></tt> is PyQt's equivalent to Qt's <tt class="docutils literal"><span class="pre">rcc</span></tt> utility and is used in exactly
the same way. <tt class="docutils literal"><span class="pre">pyrcc4</span></tt> reads the <tt class="docutils literal"><span class="pre">.qrc</span></tt> file, and the resource files, and
generates a Python module that only needs to be <tt class="docutils literal"><span class="pre">import</span></tt> ed by the
application in order for those resources to be made available just as if they
were the original files.</p>
<p>Starting with PyQt v4.5, <tt class="docutils literal"><span class="pre">pyrcc</span></tt> generates code for Python v2.6 and later by
default. If you use the <tt class="docutils literal"><span class="pre">-py2</span></tt> command line option then <tt class="docutils literal"><span class="pre">pyrcc</span></tt> will
generate code for all Python v2.x versions.</p>
<p><a class="reference internal" href="#pyrcc4">pyrcc4</a> will only be included if your copy of Qt includes the XML module.</p>
</div>
</div>
<div class="section" id="internationalisation-of-pyqt-applications">
<h1><a class="toc-backref" href="#id82">15 Internationalisation of PyQt Applications</a></h1>
<p>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.</p>
<p>The process of internationalising an application comprises the following
steps.</p>
<blockquote>
<ul class="simple">
<li>The programmer uses <a class="reference internal" href="#pylupdate4">pylupdate4</a> to create or update a <tt class="docutils literal"><span class="pre">.ts</span></tt>
translation file for each language that the application is to be
translated into. A <tt class="docutils literal"><span class="pre">.ts</span></tt> file is an XML file that contains the strings
to be translated and the corresponding translations that have already
been made. <a class="reference internal" href="#pylupdate4">pylupdate4</a> can be run any number of times during
development to update the <tt class="docutils literal"><span class="pre">.ts</span></tt> files with the latest strings for
translation.</li>
<li>The translator uses Qt Linguist to update the <tt class="docutils literal"><span class="pre">.ts</span></tt> files with
translations of the strings.</li>
<li>The release manager then uses Qt's <tt class="docutils literal"><span class="pre">lrelease</span></tt> utility to convert the
<tt class="docutils literal"><span class="pre">.ts</span></tt> files to <tt class="docutils literal"><span class="pre">.qm</span></tt> files which are compact binary equivalents used
by the application. If an application cannot find an appropriate <tt class="docutils literal"><span class="pre">.qm</span></tt>
file, or a particular string hasn't been translated, then the strings
used in the original source code are used instead.</li>
<li>The release manage may optionally use <a class="reference internal" href="#pyrcc4">pyrcc4</a> to embed the <tt class="docutils literal"><span class="pre">.qm</span></tt>
files, along with other application resources such as icons, in a Python
module. This may make packaging and distribution of the application
easier.</li>
</ul>
</blockquote>
<div class="section" id="pylupdate4">
<h2><a class="toc-backref" href="#id83">15.1 pylupdate4</a></h2>
<p><tt class="docutils literal"><span class="pre">pylupdate4</span></tt> is PyQt's equivalent to Qt's <tt class="docutils literal"><span class="pre">lupdate</span></tt> utility and is used in
exactly the same way. A Qt <tt class="docutils literal"><span class="pre">.pro</span></tt> 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 <tt class="docutils literal"><span class="pre">.pro</span></tt> file also specifies the
<tt class="docutils literal"><span class="pre">.ts</span></tt> translation files that <tt class="docutils literal"><span class="pre">pylupdate4</span></tt> updates (or creates if necessary)
and are subsequently used by Qt Linguist.</p>
<p><a class="reference internal" href="#pylupdate4">pylupdate4</a> will only be included if your copy of Qt includes the XML module.</p>
</div>
<div class="section" id="differences-between-pyqt-and-qt">
<h2><a class="toc-backref" href="#id84">15.2 Differences Between PyQt and Qt</a></h2>
<p>Qt implements internationalisation support through the <tt class="docutils literal"><span class="pre">QTranslator</span></tt> class,
and the <tt class="docutils literal"><span class="pre">QCoreApplication::translate()</span></tt>, <tt class="docutils literal"><span class="pre">QObject::tr()</span></tt> and
<tt class="docutils literal"><span class="pre">QObject::trUtf8()</span></tt> methods. Usually the <tt class="docutils literal"><span class="pre">tr()</span></tt> 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. <tt class="docutils literal"><span class="pre">tr()</span></tt> is
actually generated by <tt class="docutils literal"><span class="pre">moc</span></tt> and uses the hardcoded class name as the context.
On the other hand, <tt class="docutils literal"><span class="pre">QApplication::translate()</span></tt> allows the context to be
explicitly stated.</p>
<p>Unfortunately, because of the way Qt implements <tt class="docutils literal"><span class="pre">tr()</span></tt> (and <tt class="docutils literal"><span class="pre">trUtf8()</span></tt>) it
is not possible for PyQt to exactly reproduce its behaviour. The PyQt
implementation of <tt class="docutils literal"><span class="pre">tr()</span></tt> (and <tt class="docutils literal"><span class="pre">trUtf8()</span></tt>) 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:</p>
<pre class="literal-block">
class A(QtCore.QObject):
def hello(self):
return self.tr("Hello")
class B(A):
pass
a = A()
a.hello()
b = B()
b.hello()
</pre>
<p>In the above the message is translated by <tt class="docutils literal"><span class="pre">a.hello()</span></tt> using a context of
<tt class="docutils literal"><span class="pre">A</span></tt>, and by <tt class="docutils literal"><span class="pre">b.hello()</span></tt> using a context of <tt class="docutils literal"><span class="pre">B</span></tt>. In the equivalent C++
version the context would be <tt class="docutils literal"><span class="pre">A</span></tt> in both cases.</p>
<p>The PyQt behaviour is unsatisfactory and may be changed in the future. It is
recommended that <tt class="docutils literal"><span class="pre">QCoreApplication.translate()</span></tt> be used in preference to
<tt class="docutils literal"><span class="pre">tr()</span></tt> (and <tt class="docutils literal"><span class="pre">trUtf8()</span></tt>). 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 <tt class="docutils literal"><span class="pre">A</span></tt>
that uses <tt class="docutils literal"><span class="pre">QCoreApplication.translate()</span></tt>:</p>
<pre class="literal-block">
class A(QtCore.QObject):
def hello(self):
return QtCore.QCoreApplication.translate("A", "Hello")
</pre>
</div>
</div>
<div class="section" id="the-dbus-support-module">
<h1><a class="toc-backref" href="#id85">16 The DBus Support Module</a></h1>
<p>The DBus support module is installed as <tt class="docutils literal"><span class="pre">dbus.mainloop.qt</span></tt> and provides
support for the Qt event loop to the standard <tt class="docutils literal"><span class="pre">dbus-python</span></tt> language
bindings package. The module's API is almost identical to that of the
<tt class="docutils literal"><span class="pre">dbus.mainloop.glib</span></tt> modules that provides support for the GLib event loop.</p>
<p>The <tt class="docutils literal"><span class="pre">dbus.mainloop.qt</span></tt> module contains the following function.</p>
<dl class="docutils">
<dt>DBusQtMainLoop(set_as_default=False)</dt>
<dd><p class="first">This function returns a <tt class="docutils literal"><span class="pre">dbus.mainloop.NativeMainLoop</span></tt> object that
uses the the Qt event loop.</p>
<p class="last"><tt class="docutils literal"><span class="pre">set_as_default</span></tt> 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.</p>
</dd>
</dl>
<p>The following code fragment is all that is normally needed to set up the
standard <tt class="docutils literal"><span class="pre">dbus-python</span></tt> language bindings package to be used with PyQt:</p>
<pre class="literal-block">
import dbus.mainloop.qt
dbus.mainloop.qt.DBusQtMainLoop(set_as_default=True)
</pre>
</div>
<div class="section" id="things-to-be-aware-of">
<h1><a class="toc-backref" href="#id86">17 Things to be Aware Of</a></h1>
<div class="section" id="python-strings-qt-strings-and-unicode">
<h2><a class="toc-backref" href="#id87">17.1 Python Strings, Qt Strings and Unicode</a></h2>
<p>PyQt uses the <tt class="docutils literal"><span class="pre">QString</span></tt> class to represent Unicode strings, and the
<tt class="docutils literal"><span class="pre">QByteArray</span></tt> to represent byte arrays or strings. In Python v3 the
corresponding native object types are <tt class="docutils literal"><span class="pre">str</span></tt> and <tt class="docutils literal"><span class="pre">bytes</span></tt>. In Python v2 the
corresponding native object types are <tt class="docutils literal"><span class="pre">unicode</span></tt> and <tt class="docutils literal"><span class="pre">str</span></tt>.</p>
<p>PyQt does its best to automatically convert between objects of the various
types. Explicit conversions can be easily made where necessary.</p>
<p>In some cases PyQt will not perform automatic conversions where it is
necessary to distinguish between different overloaded methods.</p>
<p>For Python v3 the following conversions are done by default.</p>
<blockquote>
<ul class="simple">
<li>If Qt expects a <tt class="docutils literal"><span class="pre">char</span> <span class="pre">*</span></tt> (or a <tt class="docutils literal"><span class="pre">const</span></tt> version) then PyQt will accept
a <tt class="docutils literal"><span class="pre">str</span></tt> or <tt class="docutils literal"><span class="pre">QString</span></tt> that contains only ASCII characters, a
<tt class="docutils literal"><span class="pre">bytes</span></tt>, a <tt class="docutils literal"><span class="pre">QByteArray</span></tt>, or a Python object that implements the
buffer protocol.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">char</span></tt> (or a <tt class="docutils literal"><span class="pre">const</span></tt> version) then PyQt will accept
the same types as for <tt class="docutils literal"><span class="pre">char</span> <span class="pre">*</span></tt> and also require that a single character
is provided.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span> <span class="pre">*</span></tt> or an <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span> <span class="pre">*</span></tt> (or a
<tt class="docutils literal"><span class="pre">const</span></tt> version) then PyQt will accept a <tt class="docutils literal"><span class="pre">bytes</span></tt>.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span></tt> or an <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span></tt> (or a <tt class="docutils literal"><span class="pre">const</span></tt>
version) then PyQt will accept a <tt class="docutils literal"><span class="pre">bytes</span></tt> of length 1.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">QString</span></tt> then PyQt will accept a <tt class="docutils literal"><span class="pre">str</span></tt>, a <tt class="docutils literal"><span class="pre">bytes</span></tt>
that contains only ASCII characters, a <tt class="docutils literal"><span class="pre">QChar</span></tt> or a <tt class="docutils literal"><span class="pre">QByteArray</span></tt>.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">QByteArray</span></tt> then PyQt will also accept a <tt class="docutils literal"><span class="pre">str</span></tt> that
contains only Latin-1 characters, or a <tt class="docutils literal"><span class="pre">bytes</span></tt>.</li>
</ul>
</blockquote>
<p>For Python v2 the following conversions are done by default.</p>
<blockquote>
<ul class="simple">
<li>If Qt expects a <tt class="docutils literal"><span class="pre">char</span> <span class="pre">*</span></tt>, <tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span> <span class="pre">*</span></tt> or an <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span> <span class="pre">*</span></tt>
(or a <tt class="docutils literal"><span class="pre">const</span></tt> version) then PyQt will accept a <tt class="docutils literal"><span class="pre">unicode</span></tt> or
<tt class="docutils literal"><span class="pre">QString</span></tt> that contains only ASCII characters, a <tt class="docutils literal"><span class="pre">str</span></tt>, a
<tt class="docutils literal"><span class="pre">QByteArray</span></tt>, or a Python object that implements the buffer protocol.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">char</span></tt>, <tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span></tt> or an <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span></tt> (or a
<tt class="docutils literal"><span class="pre">const</span></tt> version) then PyQt will accept the same types as for
<tt class="docutils literal"><span class="pre">char</span> <span class="pre">*</span></tt>, <tt class="docutils literal"><span class="pre">signed</span> <span class="pre">char</span> <span class="pre">*</span></tt> and <tt class="docutils literal"><span class="pre">unsigned</span> <span class="pre">char</span> <span class="pre">*</span></tt> and also require
that a single character is provided.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">QString</span></tt> then PyQt will accept a <tt class="docutils literal"><span class="pre">unicode</span></tt>, a
<tt class="docutils literal"><span class="pre">str</span></tt> that contains only ASCII characters, a <tt class="docutils literal"><span class="pre">QChar</span></tt> or a
<tt class="docutils literal"><span class="pre">QByteArray</span></tt>.</li>
<li>If Qt expects a <tt class="docutils literal"><span class="pre">QByteArray</span></tt> then PyQt will accept a <tt class="docutils literal"><span class="pre">unicode</span></tt> that
contains only Latin-1 characters, or a <tt class="docutils literal"><span class="pre">str</span></tt>.</li>
</ul>
</blockquote>
<p>Note that the different behaviour between Python v2 and v3 is due to v3's
reduced support for the buffer protocol.</p>
</div>
<div class="section" id="garbage-collection">
<h2><a class="toc-backref" href="#id88">17.2 Garbage Collection</a></h2>
<p>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:</p>
<pre class="literal-block">
col = new QColor();
col = new QColor();
</pre>
<p>In the corresponding Python fragment, the first colour is destroyed when the
second is assigned to <tt class="docutils literal"><span class="pre">col</span></tt>:</p>
<pre class="literal-block">
col = QtGui.QColor()
col = QtGui.QColor()
</pre>
<p>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:</p>
<pre class="literal-block">
self.col1 = QtGui.QColor()
self.col2 = QtGui.QColor()
</pre>
<p>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 <tt class="docutils literal"><span class="pre">QObject</span></tt> (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.</p>
<p>So, in the following Python fragment, the first <tt class="docutils literal"><span class="pre">QLabel</span></tt> is not destroyed
when the second is assigned to <tt class="docutils literal"><span class="pre">lab</span></tt> because the parent <tt class="docutils literal"><span class="pre">QWidget</span></tt> still has
a reference to it:</p>
<pre class="literal-block">
parent = QtGui.QWidget()
lab = QtGui.QLabel("First label", parent)
lab = QtGui.QLabel("Second label", parent)
</pre>
</div>
<div class="section" id="multiple-inheritance">
<h2><a class="toc-backref" href="#id89">17.3 Multiple Inheritance</a></h2>
<p>It is not possible to define a new Python class that sub-classes from more than
one Qt class.</p>
</div>
<div class="section" id="access-to-protected-member-functions">
<h2><a class="toc-backref" href="#id90">17.4 Access to Protected Member Functions</a></h2>
<p>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.</p>
</div>
<div class="section" id="none-and-null">
<h2><a class="toc-backref" href="#id91">17.5 <tt class="docutils literal"><span class="pre">None</span></tt> and <tt class="docutils literal"><span class="pre">NULL</span></tt></a></h2>
<p>Throughout PyQt, the <tt class="docutils literal"><span class="pre">None</span></tt> value can be specified wherever <tt class="docutils literal"><span class="pre">NULL</span></tt> is
acceptable to the underlying C++ code.</p>
<p>Equally, <tt class="docutils literal"><span class="pre">NULL</span></tt> is converted to <tt class="docutils literal"><span class="pre">None</span></tt> whenever it is returned by the
underlying C++ code.</p>
</div>
<div class="section" id="support-for-void">
<h2><a class="toc-backref" href="#id92">17.6 Support for <tt class="docutils literal"><span class="pre">void</span> <span class="pre">*</span></tt></a></h2>
<p>PyQt (actually SIP) represents <tt class="docutils literal"><span class="pre">void</span> <span class="pre">*</span></tt> values as objects of type
<tt class="docutils literal"><span class="pre">sip.voidptr</span></tt>. 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 <tt class="docutils literal"><span class="pre">sip.voidptr</span></tt> is expected.</p>
<p>A <tt class="docutils literal"><span class="pre">sip.voidptr</span></tt> may be converted to a Python integer by using the <tt class="docutils literal"><span class="pre">int()</span></tt>
builtin function.</p>
<p>A <tt class="docutils literal"><span class="pre">sip.voidptr</span></tt> may be converted to a Python string by using its
<tt class="docutils literal"><span class="pre">asstring()</span></tt> method. The <tt class="docutils literal"><span class="pre">asstring()</span></tt> method takes an optional integer
argument which is the length of the data in bytes.</p>
<p>A <tt class="docutils literal"><span class="pre">sip.voidptr</span></tt> may also be given a size (ie. the size of the block of
memory that is pointed to) by calling its <tt class="docutils literal"><span class="pre">setsize()</span></tt> 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 <tt class="docutils literal"><span class="pre">buffer()</span></tt> builtin to create an object
that treats the block of memory as a mutable list of bytes. It also means
that the Python <tt class="docutils literal"><span class="pre">struct</span></tt> module can be used to unpack and pack binary data
structures in memory, memory mapped files or shared memory.</p>
</div>
<div class="section" id="super-and-pyqt-classes">
<h2><a class="toc-backref" href="#id93">17.7 <tt class="docutils literal"><span class="pre">super</span></tt> and PyQt Classes</a></h2>
<p>In versions of PyQt earlier than v4.5 there were restrictions on the use of
<tt class="docutils literal"><span class="pre">super</span></tt> with PyQt classes. These restrictions no longer apply with v4.5 and
later.</p>
</div>
</div>
<div class="section" id="deploying-commercial-pyqt-applications">
<h1><a class="toc-backref" href="#id94">18 Deploying Commercial PyQt Applications</a></h1>
<p>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.</p>
<p>One solution to this problem is the <a class="reference external" href="http://www.riverbankcomputing.com/software/vendorid/">VendorID</a> 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.</p>
<p>In order to build PyQt with support for the VendorID package, pass the <tt class="docutils literal"><span class="pre">-i</span></tt>
command line flag to <tt class="docutils literal"><span class="pre">configure.py</span></tt>.</p>
</div>
<div class="section" id="the-pyqt-build-system">
<h1><a class="toc-backref" href="#id95">19 The PyQt Build System</a></h1>
<p>The PyQt build system is an extension of the SIP build system and is
implemented by the <tt class="docutils literal"><span class="pre">pyqtconfig</span></tt> module, part of the <tt class="docutils literal"><span class="pre">PyQt4</span></tt> 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.</p>
<p>The module contains a number of classes.</p>
<div class="section" id="pyqtconfig-classes">
<h2><a class="toc-backref" href="#id96">19.1 <tt class="docutils literal"><span class="pre">pyqtconfig</span></tt> Classes</a></h2>
<dl class="docutils">
<dt>Configuration(sipconfig.Configuration)</dt>
<dd><p class="first">This class encapsulates configuration values that can be accessed as
instance objects.</p>
<p>The following configuration values are provided in addition to those
provided by the super-class:</p>
<blockquote>
<dl class="docutils">
<dt>pyqt_bin_dir</dt>
<dd>The name of the directory where the PyQt utilities are installed.</dd>
<dt>pyqt_config_args</dt>
<dd>The command line passed to <tt class="docutils literal"><span class="pre">configure.py</span></tt> when PyQt was
configured.</dd>
<dt>pyqt_mod_dir</dt>
<dd>The name of the directory where the <tt class="docutils literal"><span class="pre">PyQt4</span></tt> Python package is
installed.</dd>
<dt>pyqt_modules</dt>
<dd>A space separated string of installed PyQt modules. The <tt class="docutils literal"><span class="pre">Qt</span></tt>
module is not included.</dd>
<dt>pyqt_sip_dir</dt>
<dd>The name of the base directory where PyQt's <tt class="docutils literal"><span class="pre">.sip</span></tt> files are
installed. Each module's <tt class="docutils literal"><span class="pre">.sip</span></tt> files are installed in a
sub-directory with the same name as the module.</dd>
<dt>pyqt_sip_flags</dt>
<dd>A space separated string of the <tt class="docutils literal"><span class="pre">sip</span></tt> command line arguments used
to build the PyQt modules. These should also be used when
building bindings that <tt class="docutils literal"><span class="pre">%Import</span></tt> any PyQt modules.</dd>
<dt>pyqt_version</dt>
<dd>The PyQt version as a 3 part hexadecimal number (e.g. v4.0.1 is
represented as <tt class="docutils literal"><span class="pre">0x040001</span></tt>).</dd>
<dt>pyqt_version_str</dt>
<dd>The PyQt version as a string. For development snapshots it will
start with <tt class="docutils literal"><span class="pre">snapshot-</span></tt>.</dd>
<dt>qt_data_dir</dt>
<dd>The value of <tt class="docutils literal"><span class="pre">QLibraryInfo::location(DataPath)</span></tt> for the Qt
installation.</dd>
<dt>qt_dir</dt>
<dd>The root directory of the Qt installation (normally the directory
that contains the <tt class="docutils literal"><span class="pre">bin</span></tt> directory).</dd>
<dt>qt_edition</dt>
<dd>The Qt edition.</dd>
<dt>qt_framework</dt>
<dd>Set if Qt is built as a MacOS/X framework.</dd>
<dt>qt_inc_dir</dt>
<dd>The value of <tt class="docutils literal"><span class="pre">QLibraryInfo::location(HeadersPath)</span></tt> for the Qt
installation.</dd>
<dt>qt_lib_dir</dt>
<dd>The value of <tt class="docutils literal"><span class="pre">QLibraryInfo::location(LibrariesPath)</span></tt> for the Qt
installation.</dd>
<dt>qt_threaded</dt>
<dd>Set if Qt is built with thread support (always set for PyQt).</dd>
<dt>qt_version</dt>
<dd>The Qt version as a 3 part hexadecimal number (e.g. v4.1.2 is
represented as <tt class="docutils literal"><span class="pre">0x040102</span></tt>).</dd>
<dt>qt_winconfig</dt>
<dd>Additional Windows specific configuration.</dd>
</dl>
</blockquote>
<dl class="last docutils">
<dt>__init__(self, sub_cfg=None)</dt>
<dd><p class="first">Initialise the instance.</p>
<p class="last"><tt class="docutils literal"><span class="pre">sub_cfg</span></tt> is an optional list of sub-class configurations. It should
only be used by the <tt class="docutils literal"><span class="pre">__init__()</span></tt> method of a sub-class to append its
own dictionary of configuration values before passing the list to its
super-class.</p>
</dd>
</dl>
</dd>
<dt>QtAssistantModuleMakefile(QtNetworkModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtAssistant</span></tt> module.</dd>
<dt>QAxContainerModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QAxContainer</span></tt> module.</dd>
<dt>QtCoreModuleMakefile(sipconfig.SIPModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtCore</span></tt> module.</dd>
<dt>QtHelpModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtHelp</span></tt> module.</dd>
<dt>QtGuiModuleMakefile(QtCoreModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtGui</span></tt> module.</dd>
<dt>QtMultimediaModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtMultimedia</span></tt> module.</dd>
<dt>QtNetworkModuleMakefile(QtCoreModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtNetwork</span></tt> module.</dd>
<dt>QtOpenGLModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtOpenGL</span></tt> module.</dd>
<dt>QtScriptModuleMakefile(QtCoreModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtScript</span></tt> module.</dd>
<dt>QtSqlModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtSql</span></tt> module.</dd>
<dt>QtSvgModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtSvg</span></tt> module.</dd>
<dt>QtTestModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtTest</span></tt> module.</dd>
<dt>QtWebKitModuleMakefile(QtNetworkModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtWebKit</span></tt> module.</dd>
<dt>QtXmlModuleMakefile(QtCoreModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtXml</span></tt> module.</dd>
<dt>QtXmlPatternsModuleMakefile(QtCoreModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">QtXmlPatterns</span></tt> module.</dd>
<dt>phononModuleMakefile(QtGuiModuleMakefile)</dt>
<dd>This class encapsulates a Makefile to build a SIP generated Python
extension module that is built on the PyQt <tt class="docutils literal"><span class="pre">phonon</span></tt> module.</dd>
</dl>
</div>
</div>
</div>
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