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 | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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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
- diff from 0.10.0-4 to 0.10.0-5 (1.3 KiB)
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.