Matplotlib-Qt-Visualization
A Python package providing enhanced data visualization and ROI selection built on top of Matplotlib and PyQt6
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 DockablePlotsWindow to help organize a large number of plots.
1 maintainer
Release files for mpl-qt-viz 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mpl_qt_viz-1.2.0.tar.gz | 13.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mpl_qt_viz-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.9 MB
Release files / mpl_qt_viz-1.2.0.tar.gz
| Download URL | mpl_qt_viz-1.2.0.tar.gz |
|---|---|
| Size | 13.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.14.6
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Release files / mpl_qt_viz-1.2.0-py3-none-any.whl
| Download URL | mpl_qt_viz-1.2.0-py3-none-any.whl |
|---|---|
| Size | 81.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
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