pynaviz.base_plot.PlotTsGroup#
- class pynaviz.base_plot.PlotTsGroup(data, index=None, parent=None)[source]#
Bases:
_BasePlotVisualization for plotting multiple spike trains (
nap.TsGroup) as a raster plot.Each unit in the group is displayed as a row, where spike times are rendered as point markers (vertical ticks). Units can be sorted or grouped based on metadata. A SpanController is used to synchronize view ranges across plots.
- Parameters:
data (
nap.TsGroup) – A Pynapple TsGroup object containing multiple spike trains.index (
int, optional) – Identifier for the controller instance, useful when synchronizing multiple plots.parent (
QWidget, optional) – Parent widget in a Qt application, if applicable.
Methods
__init__(data[, index, parent])add_interval_sets(epochs[, colors, alpha, ...])animate()Updates the positions of rulers and reference lines based on the current world coordinate bounds and triggers a re-render of the scene.
close()color_by(metadata_name[, cmap_name, vmin, vmax])Applies color mapping to plot elements based on a metadata field.
group_by(metadata_name, **kwargs)Group the raster vertically by a metadata field.
remove_interval_set(label)Remove an interval set from the plot.
show()To show the canvas in case of GLFW context used
sort_by(metadata_name[, mode])Sort the raster vertically by a metadata field.
update_interval_set(name, colors, alpha)Update the color and transparency of an existing interval set.
Attributes
- add_interval_sets(epochs, colors=None, alpha=None, labels=None)#
- animate()#
Updates the positions of rulers and reference lines based on the current world coordinate bounds and triggers a re-render of the scene.
This method performs the following: - Computes the visible world coordinate bounds. - Updates the horizontal (x) and vertical (y) rulers accordingly. - Repositions the center time reference line in the scene. - Re-renders the scene using the current camera and canvas settings.
Notes
This method should be called whenever the visible region of the plot changes (e.g., after zooming, panning, or resizing the canvas).
- close()#
- property cmap#
- color_by(metadata_name, cmap_name='viridis', vmin=0.0, vmax=100.0)#
Applies color mapping to plot elements based on a metadata field.
This method retrieves values from the given metadata field and maps them to colors using the specified colormap and value range. The mapped colors are applied to each plot element’s material. If color mappings are still being computed in a background thread, the function retries after a short delay.
- Parameters:
metadata_name (
str) – Name of the metadata field used for color mapping.cmap_name (
str, default"viridis") – Name of the colormap to apply (e.g., “jet”, “plasma”, “viridis”).vmin (
float, default0.0) – Minimum value for the colormap normalization.vmax (
float, default100.0) – Maximum value for the colormap normalization.
- Return type:
None
Notes
If the color_mapping_thread is still running, the method defers execution by 25 milliseconds and retries automatically.
If no appropriate color map is found for the metadata, a warning is issued.
Requires self.data to support get_info() for metadata retrieval.
Triggers a canvas redraw by calling self.animate() after updating colors.
Warning
- UserWarning
Raised when the specified metadata field has no associated color mapping.
- property data#
- group_by(metadata_name, **kwargs)[source]#
Group the raster vertically by a metadata field.
- Parameters:
metadata_name (
str) – Metadata key to group by.
- remove_interval_set(label)#
Remove an interval set from the plot.
- Parameters:
label (str) – The label of the interval set to be removed.
- Return type:
None
- show()#
To show the canvas in case of GLFW context used
- update_interval_set(name, colors, alpha)#
Update the color and transparency of an existing interval set.