Source: python-qwt Maintainer: Debian Science Maintainers Uploaders: Picca Frédéric-Emmanuel , Carlos Pascual Section: science Priority: optional Build-Depends: debhelper-compat (= 13), dh-python, dh-sequence-numpy3, dh-sequence-python3, dh-sequence-sphinxdoc , python3-all, python3-numpy, python3-qtpy, python3-setuptools, python3-sphinx , xauth , xvfb Standards-Version: 4.5.1 Vcs-Browser: https://salsa.debian.org/science-team/python-qwt Vcs-Git: https://salsa.debian.org/science-team/python-qwt.git Homepage: https://github.com/PierreRaybaut/qwt Package: python3-qwt Architecture: all Section: python Depends: ${misc:Depends}, ${python3:Depends} Breaks: ${python3:Breaks} Provides: ${python3:Provides} Description: Pure Python implementation of Qwt - Python 3 The qwt package is a pure Python implementation of Qwt C++ library with the following limitations. . The following `Qwt` classes won't be reimplemented in `qwt` because most powerful features already exist in `guiqwt`: * QwtPlotZoomer * QwtCounter * QwtEventPattern * QwtPicker * QwtPlotPicker . QwtClipper is not implemented yet (and it will probably be very difficult or impossible to implement it in pure Python without performance issues). As a consequence, when zooming in a plot curve, the entire curve is still painted (in other words, when working with large amount of data, there is no performance gain when zooming in). . This is the Python 3 version of the package. Package: python-qwt-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends} Multi-Arch: foreign Description: Pure Python implementation of Qwt - Documentation The qwt package is a pure Python implementation of Qwt C++ library with the following limitations. . The following `Qwt` classes won't be reimplemented in `qwt` because most powerful features already exist in `guiqwt`: * QwtPlotZoomer * QwtCounter * QwtEventPattern * QwtPicker * QwtPlotPicker . QwtClipper is not implemented yet (and it will probably be very difficult or impossible to implement it in pure Python without performance issues). As a consequence, when zooming in a plot curve, the entire curve is still painted (in other words, when working with large amount of data, there is no performance gain when zooming in). . This is the documentation of the package.