pandas

PandasSlicer

Constructor

PandasSlicer(data, dims, display_dims, columns)

NDPositionsSlicer subclass that reads positional data from the columns of a pandas.DataFrame instead of an n-dimensional array.

Properties

PandasSlicer.columns	the columns that hold the coordinates of each graphic, one entry per graphic
PandasSlicer.data	get or set the managed DataFrame, the new DataFrame must have the same columns
PandasSlicer.datapoints_window_func	Get or set the window function applied along the p dim, as (func, apply_dims, window_size).
PandasSlicer.dims	dim names, the same as display_dims since a DataFrame has no other dims
PandasSlicer.display_dims	get or set the spatial dims, in display order
PandasSlicer.display_dims_indices	The ordered spatial dim indices that correspond to the named spatial dims
PandasSlicer.display_window	get or set the display window, in the reference units of the p dim
PandasSlicer.max_display_datapoints	Get or set the maximum number of datapoints to render per graphic.
PandasSlicer.n_slider_dims	number of slider dims, i.e. len(slider_dims).
PandasSlicer.ndim	number of dims, always 3
PandasSlicer.shape	interpreted shape of the data, the number of graphics, the number of rows, and the value dim
PandasSlicer.slider_dims	slider dim names, the non-spatial dims plus the p dim
PandasSlicer.slider_maps	Get or set the per-slider-dim mapping from reference-space values to local array indices, {dim_name: transform}.
PandasSlicer.spatial_func	Get or set the spatial function which is applied on the data slice after the window functions.
PandasSlicer.tooltip	whether tooltip_columns were provided, i.e. whether a custom tooltip is formatted.
PandasSlicer.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)}.
PandasSlicer.window_order	get or set dimension order in which window functions are applied

Methods

PandasSlicer.close()	Shut down the thread pool.
PandasSlicer.get(indices)	Get the data slice to display at the given indices.
PandasSlicer.get_window_output(indices)	Take the data slice at the given indices and apply the window functions.
PandasSlicer.set_other_feature(name, value)	set, or clear if value is None, an other graphic feature to window per-datapoint
PandasSlicer.tooltip_format(n, p)	Format the tooltip for a hovered datapoint using the tooltip_columns.