guiqwt 3.0.2-1ubuntu1 source package in Ubuntu

Changelog

guiqwt (3.0.2-1ubuntu1) xenial; urgency=medium

  * debian/patches/isnan-fix.diff: Grab patch from upstream Git to fix FTBFS
    with libc 2.23.

 -- Logan Rosen <email address hidden>  Wed, 13 Apr 2016 08:17:40 +0000

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Uploaded by:
Logan Rosen
Uploaded to:
Xenial
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe science

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File Size SHA-256 Checksum
guiqwt_3.0.2.orig.tar.gz 3.5 MiB 1a0873a428fa6cd94ff814a81ad4b79028bcf586c5409445bb0f27c5a82ad8f8
guiqwt_3.0.2-1ubuntu1.debian.tar.xz 16.3 KiB 4fb15d4f09fcfbdb940b753bcdb9c8b7d2f28ef116de94eda5711c98c0ee2c97
guiqwt_3.0.2-1ubuntu1.dsc 2.0 KiB 2f7cb74b2fd8f69ca00d5ad060f3820cb8e9cdf84413d5618493b3cbc104a111

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Binary packages built by this source

python-guiqwt: efficient 2D data-plotting library - Python 2

 The guiqwt Python library provides efficient 2D data-plotting features
 (curve/image visualization and related tools) for signal/image processing
 application development and interactive computing. It's based on the
 scientific modules NumPy and SciPy, and the PyQwt plotting widgets for
 PyQt4 graphical user interfaces.
 .
 This is the Python 2 version of the package.

python-guiqwt-doc: efficient 2D data-plotting library - Documentation

 The guiqwt Python library provides efficient 2D data-plotting
 features (curve/image visualization and related tools) for
 signal/image processing application development and interactive
 computing. It's based on the scientific modules NumPy and SciPy, and
 the PyQwt plotting widgets for PyQt4 graphical user interfaces.
 .
 This is the documentation of the package.

python3-guiqwt: efficient 2D data-plotting library - Python 3

 The guiqwt Python library provides efficient 2D data-plotting
 features (curve/image visualization and related tools) for
 signal/image processing application development and interactive
 computing. It's based on the scientific modules NumPy and SciPy, and
 the PyQwt plotting widgets for PyQt4 graphical user interfaces.
 .
 This is the Python 3 version of the package.