Ubuntu
python-pyqtgraph package

python-pyqtgraph 0.10.0-5 source package in Ubuntu

Changelog

python-pyqtgraph (0.10.0-5) unstable; urgency=medium

  [ Georges Khaznadar ]
  * For some mysterious reason, the expressions used to build the list of
    python files to package misses the last directory in the list; when I
    call *the same* expressions in a Python shell, it does not fail. So I
    made a quick & &dirty fix: I hardcoded the list of files to package,
    which closes: #939571

  [ Gianfranco Costamagna ]
  * Bump std-version to 4.1.1

 -- Georges Khaznadar <email address hidden>  Tue, 05 Nov 2019 19:04:32 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-pyqtgraph_0.10.0-5.dsc 2.1 KiB 32d0d7352f1a13c2df92e8d0bc449f6f48aff00330fecd7f0ece9d77ee64639e
python-pyqtgraph_0.10.0.orig.tar.gz 688.4 KiB 4c851deec81c1dd1ecb4468ff6d5b035349b167cc1b4e4bb724b4b410945d20b
python-pyqtgraph_0.10.0-5.debian.tar.xz 179.4 KiB 223797b0d10f42b3aa3a82621db302aa10b37e025159cedd0581ea1e38b76a4d

Available diffs

No changes file available.

Binary packages built by this source

python-pyqtgraph-doc: Scientific Graphics and GUI Library for Python (common documentation)

 PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
 It is intended for use in mathematics / scientific / engineering applications.
 Despite being written entirely in Python, the library is very fast due to its
 heavy leverage of numpy for number crunching and Qt's GraphicsView framework
 for fast display.
 .
 This is the common documentation package.

python3-pyqtgraph: Scientific Graphics and GUI Library for Python 3

 PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
 It is intended for use in mathematics / scientific / engineering applications.
 Despite being written entirely in Python, the library is very fast due to its
 heavy leverage of numpy for number crunching and Qt's GraphicsView framework
 for fast display.
 .
 This is the Python 3 version of the package.