NDImageSlicer#

NDImageSlicer(data, dims, display_dims[, ...])

NDSlicer subclass for n-dimensional image data.

`NDImageSlicer.compute_histogram`	get or set whether or not to compute the histogram
`NDImageSlicer.data`	get or set managed data.
`NDImageSlicer.dims`	dim names, ordered as laid out in the array
`NDImageSlicer.display_dims`	Subset of `dims` that are spatial (rendered) dimensions in display order.
`NDImageSlicer.display_dims_indices`	The ordered spatial dim indices that correspond to the named spatial dims
`NDImageSlicer.histogram`	an estimate of the histogram of the data, (histogram_values, bin_edges).
`NDImageSlicer.n_slider_dims`	number of slider dims, i.e. len(slider_dims).
`NDImageSlicer.ndim`	number of dims
`NDImageSlicer.rgb_dim`	get or set the RGB(A) dim name, `None` if no RGB(A) dim exists
`NDImageSlicer.shape`	interpreted shape of the data
`NDImageSlicer.slider_dims`	Slider dim names, `set(dims) - set(display_dims)`, unordered
`NDImageSlicer.slider_maps`	Get or set the per-slider-dim mapping from reference-space values to local array indices, `{dim_name: transform}`.
`NDImageSlicer.spatial_func`	Get or set the spatial function which is applied on the data slice after the window functions.
`NDImageSlicer.tooltip`	whether or not a custom tooltip formatter method exists
`NDImageSlicer.window_funcs`	Get or set the per-slider-dim window functions applied around the current slider position, `{dim_name: (func, window_size)}`, ex: `{"time": (np.mean, 2.5)}`.
`NDImageSlicer.window_order`	get or set dimension order in which window functions are applied

`NDImageSlicer.close`()	Shut down the thread pool.
`NDImageSlicer.get`(indices)	Get the data at the given index, process data through the window functions.
`NDImageSlicer.get_window_output`(indices)	Take the data slice at the given indices and apply the window functions.
`NDImageSlicer.tooltip_format`(*args)	Override in subclass to format custom tooltips