CameraDisplay

class ctapipe.visualization.bokeh.CameraDisplay(geometry: CameraGeometry | None = None, image=None, cmap='inferno', norm='lin', autoscale=True, title=None, use_notebook=None, **figure_kwargs)

Bases: BokehPlot

CameraDisplay implementation in Bokeh

Parameters:

geometry: CameraGeometry

CameraGeometry for the display

image: array

Values to display for each pixel

cmap: str or bokeh.palette.Palette

matplotlib colormap name or bokeh palette for color mapping values

norm: str or bokeh.

lin, log, symlog or a bokeh.models.ColorMapper instance

autoscale: bool

Whether to automatically adjust color range after updating image

use_notebook: bool or None

Whether to use bokehs notebook output. If None, tries to autodetect running in a notebook.

**figure_kwargs are passed to bokeh.plots.figure

Attributes Summary

geometry	Get the current geometry
image	Get the current image

Methods Summary

add_ellipse(centroid, length, width, angle)	plot an ellipse on top of the camera
enable_pixel_picker(callback)	Call callback when a pixel is clicked
highlight_pixels(pixels[, color, linewidth, ...])	Highlight the given pixels with a colored line around them
overlay_moments(hillas_parameters[, ...])	helper to overlay ellipse from a HillasParametersContainer structure

Attributes Documentation

geometry

Get the current geometry

image

Get the current image

Methods Documentation

add_ellipse(centroid, length, width, angle, asymmetry=0.0, **kwargs)

plot an ellipse on top of the camera

Parameters:

centroid: (float, float)

position of centroid

length: float

major axis

width: float

minor axis

angle: float

rotation angle wrt x-axis about the centroid, anticlockwise, in radians

asymmetry: float

3rd-order moment for directionality if known

kwargs:

any MatPlotLib style arguments to pass to the Ellipse patch

enable_pixel_picker(callback)

Call callback when a pixel is clicked

highlight_pixels(pixels, color='green', linewidth=1, alpha=0.75)

Highlight the given pixels with a colored line around them

Parameters:

pixelsindex-like

The pixels to highlight. Can either be a list or array of integers or a boolean mask of length number of pixels

color: a matplotlib conform color

the color for the pixel highlighting

linewidth: float

linewidth of the highlighting in points

alpha: 0 <= alpha <= 1

The transparency

overlay_moments(hillas_parameters, with_label=True, keep_old=False, n_sigma=1, **kwargs)

helper to overlay ellipse from a HillasParametersContainer structure

Parameters:

hillas_parameters: `HillasParametersContainer`

structuring containing Hillas-style parameterization

with_label: bool

If True, show coordinates of centroid and width and length

keep_old: bool

If True, to not remove old overlays

kwargs: key=value

any style keywords to pass to matplotlib (e.g. color=’red’ or linewidth=6)