Plots a raster of the time-domain signal \(x[n]\).

Parameters:¶

x: NDArray¶

The real time-domain signal \(x[n]\). If x is 1D, the rastering is determined by length and stride. If x is 2D, the rows correspond to each raster.

length: int | None = None¶

The length of each raster in samples. This must be provided if x is 1D.

stride: int | None = None¶

The stride between each raster in samples. If None, the stride is set to length.

sample_rate: float | None = None¶

The sample rate \(f_s\) of the signal in samples/s. If None, the x-axis will be labeled as “Samples”.

color: 'index' | str = 'index'¶

Indicates how to color the rasters. If "index", the rasters are colored based on their index. If a valid Matplotlib color, the rasters are all colored with that color.

persistence: bool = False¶

Indicates whether to plot the raster as a persistence plot. A persistence plot is a 2D histogram of the rasters.

colorbar: bool = True¶

Indicates whether to add a colorbar to the plot. This is only added if color="index" or persistence=True.

**kwargs¶

Additional keyword arguments to pass to Matplotlib functions.

If persistence=False, the following keyword arguments are passed to matplotlib.collections.LineCollection. The defaults may be overwritten.

• "linewidths": 1

• "linestyles": "solid"

• "cmap": "rainbow"

If persistence=True, the following keyword arguments are passed to matplotlib.pyplot.pcolormesh(). The defaults may be overwritten.

• "bins": (800, 200) # Passed to np.histogram2d()

• "cmap": "rainbow"

• "norm": "log"

• "rasterized": True

• "show_zero": False