show_camera

lstchain.visualization.bokeh.show_camera(content, camgeom, pad_width, label, titles=None, showlog=True, display_range=None, content_lowlim=None, content_upplim=None)

Parameters:

content: pixel-wise quantity to be plotted, ndarray with shape (N,

number_of_pixels) where N is the number of different sets of pixel

values, for example N different data runs or whatever. The shape can also

be just (number_of_pixels), in case a single camera display is to be shown

geom: camera geometry

pad_width: width in pixels of each of the 3 pads in the plot

label: string to label the quantity which is displayed, the same for the N

sets of pixels inside “content”

titles: list of N strings, with the title specific to each of the sets

of pixel values to be displayed: for example, indicating run numbers

content_lowlim: scalar or ndarray of shape(N, number_of_pixels),

same as content: lowest value of “content” which is considered healthy,

below which a message will be written out

content_upplim: highest value considered healthy, same as above

display_range: range of “content” to be displayed

Returns:

[column(slider, rangeslider), p1, p2, p3]:

three bokeh figures, intended for showing them on the same row,

and two sliders, one for the run numbers (or whatever “sets” of

data we are displaying) and the other for the z-range of the plots.

p1 is the camera display (with “content” in linear & logarithmic scale)

p2: content vs. pixel

p3: histogram of content (with one entry per pixel)