NDVectorsSlicer#

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

NDSlicer subclass for n-dimensional vector data.

`NDVectorsSlicer.data`	get or set managed data.
`NDVectorsSlicer.dims`	dim names, ordered as laid out in the array
`NDVectorsSlicer.display_dims`	`(n_vectors, positions & directions, xy(z))`, so the data slice is of shape `[n_vectors, 2, 2 \| 3]`
`NDVectorsSlicer.display_dims_indices`	The ordered spatial dim indices that correspond to the named spatial dims
`NDVectorsSlicer.n_slider_dims`	number of slider dims, i.e. len(slider_dims).
`NDVectorsSlicer.ndim`	number of dims
`NDVectorsSlicer.shape`	interpreted shape of the data
`NDVectorsSlicer.slider_dims`	Slider dim names, `set(dims) - set(display_dims)`, unordered
`NDVectorsSlicer.slider_maps`	Get or set the per-slider-dim mapping from reference-space values to local array indices, `{dim_name: transform}`.
`NDVectorsSlicer.spatial_func`	Get or set the spatial function which is applied on the data slice after the window functions.
`NDVectorsSlicer.tooltip`	whether or not a custom tooltip formatter method exists
`NDVectorsSlicer.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)}`.
`NDVectorsSlicer.window_order`	get or set dimension order in which window functions are applied

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