——————-
This is a Qt widget based on the Qwt class library. It is complemented by NumPy which provides functions to read and write NumPy arrays. PyQwt and NumPy together offer an excellent platform for visualization and analysis of two dimensional data.
Please refer to the documentation for more information about PyQwt features.
Install PyQwt:
————–
Just download PyQwt distribution and extract it, PyQwt-1.0.0 is currently the latest release. The name of the extracted archive is PyQwt-1.0.0-py2.6-linux-x86_64.tar.gz.
Install NumPy:
—————
NumPy is required to work with PyQwt.
Install NumPy with the following command:
“`
# In order to install NumPy from source, modify the line in Step1 to read:
# cd /tmp && tar xzf numpy-1.2.0.tar.gz && cd numpy-1.2.0 && python setup.py install
“`
The downloaded archive is in the archive name numpy-1.2.0.
Compile PyQwt from sources:
—————————–
You can either use a binary package or a source distribution. The latter provides a more flexible option.
Install the source distribution of PyQwt:
“`
# In order to install PyQwt from source, modify the line in Step2 to read:
# cd /tmp && tar xzf PyQwt-1.0.0-src.tar.gz && cd PyQwt-1.0.0-src && python setup.py install
“`
On a desktop computer you should execute the following commands:
“`
./configure
make
“`
If no errors are reported by configure you can execute the following commands to install PyQwt on your computer:
“`
make install
“`
Troubleshooting:
—————
If the following error occurs during the installation:
“`
Unable to guess c compiler package name
“`
Modify the source file PyQwt/setup.cfg with the name of the c compiler package.
For example on Debian GNU/Linux, the command is:
“`
cd /usr/share/doc/ccache/examples
make
“`
If

PyQwt is a toolkit for building scientific, engineering and visualization applications with interactive 2-dimensional and 3-dimensional graphs. It is based on the Qt GUI toolkit and uses the Qwt class library for simple to complex 2-dimensional plots and graphs.
You can use PyQwt to create widgets for all kinds of scientific and engineering applications. To get started with PyQwt, please refer to the PyQwt documentation.
PyQwt Installation:
PyQwt requires PyQt, because PyQwt is built on top of the Qt GUI Toolkit. It is recommended to have all dependencies installed before installing PyQwt.
List of installed packages:

NumPy is probably already installed, but make sure if NumPy is
not installed.

Installation:
Cython
Include numpy in the __config.py__ file to disable Cython byte compilation for numpy.
pip install Cython
easy_install numpy
git clone

Compiling the library:
You will need Cython installed. Create a new PyQwt project. Create the files pyqwt.py, config.py and config.pyc and place them in the project root.
python setup.py build_ext –inplace –distutils

Running the tests:
Tests are only ran when you build PyQwt with Cython.
python setup.py test

You may want to add the function bindings in pyqwt.py like below.
from config_package import *

After the build is complete, the PyQwt.so file will be in the build/ directory.
Using PyQwt:

PYQwt.so: the shared library for PyQwt.
pyqwt.py: the PyQwt class definition file.

Load PyQwt.so to get access to the PyQwt class functions.
import PyQwt

from PyQwt.PyQt import *
app = PyQt4.QtGui.QApplication(None)
p = PyQwt.QwtPlot3D(0,0,0,0,0,0,0)
p.setTitle(“Hello PyQwt”)

p.addSeries(PyQwt.PySeries)
p.addVisible()
p
02dac1b922

PyQwt is a C++ class library that allows developers to create high quality, eye-pleasing plots and charts in an easy way using the PyQwt widget, Python and NumPy.
It runs as a PyQt application on top of the Qwt and NumPy libraries, hence the name.
PyQwt documentation can be found at and is currently in version 0.9.0.
For user help, please check out the installation page for detailed information.
This documentation is currently incomplete but we work on it.
Version overview:
* PyQwt 1.7 and 1.8:
PyQwt has the same API as PyQt but is still not available as a QT Widget, but as an independent PyQt application. Please note that PyQwt is tested with PyQt4 and PyQt5.
* PyQwt 2.x
PyQwt 2.0, 2.0.1 and 2.1.0 are identical to PyQwt 1.x.
PyQwt 2.1.1 is backward compatible with PyQwt 1.x. PyQwt 2.x will not be supported anymore.
* PyQwt 0.9.x
0.9.0, 0.9.1, 0.9.3 and 0.9.4 are equivalent to 1.x but will not be supported anymore.
Installation
PyQwt is built from source and requires Python 2.6 or later.
Prerequisite packages:
* If you are using a 64 bit Python interpreter, make sure you have installed the 32-bit package.
* PyQwt requires NumPy 1.5 or later, but NumPy can be installed on a 64-bit Python interpreter.
Installation
PyQwt is built from source and requires Python 2.6 or later.
Prerequisite packages:
* If you are using a 64 bit Python interpreter, make sure you have installed the 32-bit package.
* PyQwt requires NumPy 1.5 or later, but NumPy can be installed on a 64-bit Python interpreter.
You can download PyQwt here:

How to Install PyQwt:
1. Extract PyQwt.tar.gz to a directory.

==================
PyQwt, developed and maintained by the same team who developed the Qwt C++ class library, extends the Qt framework with a set of widgets that can be used to graph 2D data. The Qwt widgets, which are modeled on the widgets in the MathPad component of MathLab, can be used to draw, edit and analyze 2D data. PyQwt can display both floating point and integer data. The PyQwt widgets support interacting with the displayed data. The PyQwt widgets are written in Python and should be accessed through the same functions as the Qwt widgets.
Installation:
==============
1. Clone the PyQwt source code. This is done by typing the following command in the Terminal:
$ cd ~
$ git clone
2. Install the PyQwt library. This is done by typing the following command in the Terminal:
$ cd pyqwt
$ python setup.py install
3. Initialize PyQwt by typing the following command in the Terminal:
$ cd pyqwt/pyqwt
$ python setup.py build
$ python setup.py test
$ python setup.py install
4. Start the PyQwt Framework, for example from the Terminal:
$ python pyqwt/pyqwt.py
CMake & cmake
==========================
PyQwt’s build system uses the CMake utility to manage building and linking of the PyQwt library and components. CMake provides a single consistent environment, an easy interface, and is extensible. This simplifies the software build environment and helps developers build applications faster and more reliable.
CMake have the following characteristics:
– CMake is designed to be user-friendly and easy to learn.
– CMake is developed to support multiple platforms and makes it easier to port code to new systems.
– CMake is used to build and test PyQwt code and is integrated into PyQwt’s own test suite.
– CMake requires only a single build configuration, which is selected by a single cmake_compile_option() call.
– CMake has the ability to detect and automatically compensate for changes in the system environment, therefore, CMake will not need to be recompiled each time a new version of an external package is installed.
– CMake provides the functionality to package and distribute a single build. CMake

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