neuralib.model.rastermap.plot.RasterMapPlot

class neuralib.model.rastermap.plot.RasterMapPlot

Bases: object

Plot the rastermap result with behavioral measurements

__init__(result, act_time, time_range=None, covars=None, event_colors=None, output=None)

Parameters:

• result (RasterMapResult) – class:~.core.RasterMapResult

• act_time (ndarray) – neural activity time array. should be the same T as neural_activity when run the rastermap

• time_range (tuple[float, float] | None) – time range for plotting (START,END)

• covars (list[Covariant] | None) – list of Covariant

• event_colors (list[str] | None)

• output (str | Path | bytes | BinaryIO | BufferedIOBase | BufferedReader | None)

Methods

__init__(result, act_time[, time_range, ...])
plot_rastermap()
plot_segments(ax)	Plot event segments as vertical spans on the axis
process_continuous()	process behavioral measurements, select time range and do the interpolation same shape as neural activity

Attributes

DEFAULT_TRIAL_COLORS
super_neurons	rastermap sorted 2D array.

DEFAULT_TRIAL_COLORS = ('royalblue', 'darkorange', 'seagreen', 'crimson')

__init__(result, act_time, time_range=None, covars=None, event_colors=None, output=None)

Parameters:

• result (RasterMapResult) – class:~.core.RasterMapResult

• act_time (ndarray) – neural activity time array. should be the same T as neural_activity when run the rastermap

• time_range (tuple[float, float] | None) – time range for plotting (START,END)

• covars (list[Covariant] | None) – list of Covariant

• event_colors (list[str] | None)

• output (str | Path | bytes | BinaryIO | BufferedIOBase | BufferedReader | None)

property super_neurons: ndarray

rastermap sorted 2D array. Array[float, [N, T]]

process_continuous()

process behavioral measurements, select time range and do the interpolation same shape as neural activity

Return type:

list[Covariant]

plot_rastermap()

plot_segments(ax)

Plot event segments as vertical spans on the axis

Parameters:

ax (Axes) – matplotlib Axes object