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Matplotlib-Qt-Visualization

A Python package providing enhanced data visualization and ROI selection built on top of Matplotlib and PyQt6

Documentation

Installing

Installing from the source code

This package can be installed in the same ways that most python packages installed. The easiest way is to use Pip: Navigate to the root directory of this Git repository and run pip install .

Installing from PyPi

pip install mpl_qt_viz

Install with Conda

conda install -c conda-forge mpl_qt_viz

Examples

Using the PlotNd widget to visualize hyperspectral imagery of a cancer cell

Using the DockablePlotWindow to help organize a large number of plots.

Integrating DockablePlotWindow as a Pyplot backend

In order to have generic Pyplot code open a DockablePlotWindow for new figures add matplotlib.use("module://mpl_qt_viz.backends.backend_dockableagg") prior to importing pyplot. See the example at "examples/dockableBackendExample.py"

Release files for mpl-qt-viz 1.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mpl-qt-viz 1.2.1
File Size Uploaded
mpl_qt_viz-1.2.1.tar.gz 13.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for mpl-qt-viz 1.2.1
File Interpreter ABI Platform
mpl_qt_viz-1.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 13.9 MB

Release files / mpl_qt_viz-1.2.1.tar.gz

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Release files / mpl_qt_viz-1.2.1-py3-none-any.whl

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