simple nd image viewer
Project description
ndv
Simple, fast-loading, asynchronous, n-dimensional viewer for Qt, with minimal dependencies.
from qtpy import QtWidgets
from ndv import NDViewer
from skimage import data # just for example data here
qapp = QtWidgets.QApplication([])
v = NDViewer(data.cells3d())
v.show()
qapp.exec()
NDViewer
- supports arbitrary number of dimensions, with 2D/3D view canvas, and sliders for all non-visible dims
- sliders support integer as well as slice (range)-based slicing
- colormaps provided by cmap
- supports vispy and pygfx backends
- supports any numpy-like duck arrays, with special support for features in:
xarray.DataArray
dask.array.Array
tensorstore.TensorStore
zarr
dask
Installation
The only required dependencies are numpy
and superqt[cmap,iconify]
.
You will also need a Qt backend (PyQt or PySide) and one of either
vispy or pygfx:
pip install ndv[pyqt,vispy]
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