Installation¶

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	>=3.8, <4
guidata	>=3.4	Automatic GUI generation for easy dataset editing and display
PythonQwt	>=0.12.1	Qt plotting widgets for Python
NumPy	>=1.17	Fundamental package for array computing in Python
SciPy	>=1.3	Fundamental algorithms for scientific computing 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
black		The uncompromising code formatter.
isort		A Python utility / library to sort Python imports.
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:

pip install plotpy

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

Then run the following command (using build):

python -m build