Installation — PlotPy 2.7 Manual (original) (raw)

Dependencies¶

Note

See Reference test platforms section for more information about supported platforms, Python versions and Qt bindings.

The plotpy package requires the following Python modules:

Name	Version	Summary
Python	>=3.9, <4	Python programming language
guidata	>=3.7	Automatic GUI generation for easy dataset editing and display
PythonQwt	>=0.14	Qt plotting widgets for Python
SciPy	>=1.5	Fundamental algorithms for scientific computing in Python
scikit-image	>= 0.18	Image processing in Python
Pillow	Python Imaging Library (Fork)
tifffile	Read and write TIFF files
PyQt5	>=5.11	Python bindings for the Qt cross platform application toolkit

Optional modules for development:

Name	Version	Summary
ruff	An extremely fast Python linter and code formatter, written in Rust.
pylint	python code static checker
Coverage	Code coverage measurement for Python
Cython	The Cython compiler for writing C extensions in the Python language.

Optional modules for building the documentation:

Name	Version	Summary
PyQt5	Python bindings for the Qt cross platform application toolkit
sphinx	Python documentation generator
myst_parser	An extended [CommonMark](https://spec.commonmark.org/) compliant parser,
sphinx-copybutton	Add a copy button to each of your code cells.
sphinx_qt_documentation	Plugin for proper resolve intersphinx references for Qt elements
python-docs-theme	The Sphinx theme for the CPython docs and related projects

Optional modules for running test suite:

Name	Version	Summary
pytest	pytest: simple powerful testing with Python
pytest-xvfb	A pytest plugin to run Xvfb (or Xephyr/Xvnc) for tests.

The easiest way to install plotpy is using pip:

To install from source, clone the repository or download the source package from PyPI.

Then run the following command (using build):