Skip to content

Matplotlib QML

This project is about creating an easy to use interface to use matplotlib plots inside QML with the QML-like syntax.

Compatibility

Since the aim of the project is the integration in our software the wrapper is developed with the following package versions:

  • matplotlib 3.3.3
  • matplotlib_backend_pyside2 0.0.9 (Download)
  • numpy 1.19.5
  • PySide2

Installation guide

Since this package is just another python package you can install it in any of your host systems.

Optimizer4D

Get the package by downloading the .whl-file from the Packages & Registries Tab in this repository.
Install the package on the system: 

pip install --user --no-dependencies <path/to/wheel>
It's important to include the flag --no-dependencies. Otherwise pip will install the dependencies over the existing installations and break the Analyzer4D software. If that happens by mistake you can uninstall them with pip uninstall <pacakge> and the software should work fine again (given you used the --user flag.

To use the matplotlib_qml inside the QML files you need to initialize it during the startup phase of the Analyzer4D. To achieve that you need to create a .py file and provide the path in the Configuration/Preferences/Python tab of the Analyzer4D software to the python_init_hook field (restart the program afterwards). That python file needs to include the following lines: 

import matplotlib_qml

matplotlib_qml.init()

Windows

It's always advisable to create a python-virutal-environment beforehand. 

py -m venv <name_of_venv>
Then activate the venv.

venv/Scripts/activate

Download the latest wheel (Download Mirror will be provided soonTM). It should look like matplotlib_qml-<version>.... Install the wheel in your environment (sometimes you have to explicitly say pip3 for Python 3.*): 

pip install <path/to/wheel>

Mac/Linux

It's always advisable to create a python-virutal-environment beforehand. 

python3 -m venv <name_of_venv>
Then activate the venv.

source venv/bin/activate

Download the latest wheel (Download Mirror will be provided soonTM). It should look like matplotlib_qml-<version>.... Install the wheel in your environment (sometimes you have to explicitly say pip3 for Python 3.*): 

pip3 install <path/to/wheel>

This should also install the required dependencies matplotlib_backend_pyside2, matplotlib, PySide2 and numpy.