Image Display tools

Image display tools.

lsst.cst image plot tools Next modules are available: - displays: Display available for image plotting. - interactors: Extra layers to add to a image display. - options: Options available for image plotting.

class lsst.cst.image_display.BoxInteract(image_display, options=BoxInteractOptions(color='red'))

Interactive plot with a selectable box tool to show extra information.

Parameters:

• options (BoxInteractOptions, Optional) – Box plot options.

• image_display (ImageDisplay) –

options

alias of BoxInteractOptions

show()

Show interactive display.

class lsst.cst.image_display.CalExpImageDisplay(cal_exp_data, title=None, xlabel='X', ylabel='Y', show_detections=True, options=ImageOptions(cmap=None, height=600, padding=0.01, fontsize={'title': 16, 'xlabel': 14, 'ylabel': 14, 'ticks': 12}, toolbar_position='right', show_grid=True, tools=[], width=700, xaxis='bottom', yaxis='left'))

Plot using Calexp data, includes the

image and also the sources.

Parameters:

• cal_exp_data (CalExpData) – cal exp data to be plot

• title (str, Optional) – Plot title. Default value: CalExpId information.

• xlabel (str, Optional) – Plot xlabel. Default value: ‘X’.

• ylabel (str, Optional) – Plot ylabel. Default value: ‘Y’.

• show_detections (bool, Optional) – True if detections should be added to the plot. Default value: True.

• image_options (ImageOptions, Optional) – Image options.

• options (ImageOptions, default: ImageOptions(cmap=None, height=600, padding=0.01, fontsize={'title': 16, 'xlabel': 14, 'ylabel': 14, 'ticks': 12}, toolbar_position='right', show_grid=True, tools=[], width=700, xaxis='bottom', yaxis='left')) –

delete()

Delete underlying image.

property image

Underlying image.

Returns:

image – Underlying image used to create the plot.

Return type:

np.ndarray

options

alias of ImageOptions

rasterize()

Rasterize the image.

render()

Render the image.

show()

Show the image.

property transformed_image

Underlying transformed image.

Returns:

image – Underlying transformed image shown in the plot.

Return type:

np.ndarray

class lsst.cst.image_display.HoverSources(image_display, sources, options=PointsOptions(fill_color=None, size=9, color='darkorange', marker='circle'))

Interactive display including the sources.

Parameters:

• options (PointsOptions, Optional) – Display points options.

• image_display (ImageDisplay) –

• sources (Tuple[Series]) –

options

alias of PointsOptions

show()

Show interactive display.

class lsst.cst.image_display.ImageArrayDisplay(image, bounds, title=None, xlabel='X', ylabel='Y', options=ImageOptions(cmap=None, height=600, padding=0.01, fontsize={'title': 16, 'xlabel': 14, 'ylabel': 14, 'ticks': 12}, toolbar_position='right', show_grid=True, tools=[], width=700, xaxis='bottom', yaxis='left'))

Plot for an array as an image.

Parameters:

• image (numpy.ndarray) – 1D image array to be show in the plot.

• title (str) – title of the plot.

• xlabel (str) – label for the x coordinates.

• ylabel (str) – label for the y coordinates.

• options (Options) – Options for the underlying plot object.

• bounds (tuple[float]) –

property image

Underlying image.

Returns:

image – Underlying image used to create the plot.

Return type:

np.ndarray

options

alias of ImageOptions

rasterize()

Rasterize the image.

render()

Render the image.

show()

Show the image.

property transformed_image

Underlying transformed image.

Returns:

image – Underlying transformed image shown in the plot.

Return type:

np.ndarray

class lsst.cst.image_display.ImageDisplay

Plot interface image.

delete()

Delete underlying image.

static from_cal_exp_data(cal_exp_data, title=None, xlabel='X', ylabel='Y', show_detections=True, image_options=ImageOptions(cmap=None, height=600, padding=0.01, fontsize={'title': 16, 'xlabel': 14, 'ylabel': 14, 'ticks': 12}, toolbar_position='right', show_grid=True, tools=[], width=700, xaxis='bottom', yaxis='left'))

Create a Plot class for CalExpData.

Parameters:

• cal_exp_data (CalExpData) – exposure instance returned from butler.

• title (str) – title of the plot.

• xlabel (str) – label for the x coordinates.

• ylabel (str) – label for the y coordinates.

• image_options (ImageOptions) – Options for the underlying plot object.

• sources_options (PointsOptions) – Options for the underlying sources plot object.

• show_detections (bool, default: True) –

Returns:

results – Plot instance for the exposureF including sources.

Return type:

Plot

static from_image_array(image, bounds, title='No title', xlabel='X', ylabel='Y', image_options=ImageOptions(cmap=None, height=600, padding=0.01, fontsize={'title': 16, 'xlabel': 14, 'ylabel': 14, 'ticks': 12}, toolbar_position='right', show_grid=True, tools=[], width=700, xaxis='bottom', yaxis='left'))

Create a Plot class for the exposureF image.

Parameters:

• image (numpy.array) – image to be plotted.

• bounds (tuple[float]) – image bounds.

• title (str) – title of the plot.

• xlabel (str) – label for the x coordinates.

• ylabel (str) – label for the y coordinates.

• image_options (ImageOptions) – Options for the underlying plot object.

Returns:

results – Plot instance for the exposureF

Return type:

Plot

abstract property image

Underlying image.

Returns:

image – Underlying image used to create the plot.

Return type:

np.ndarray

abstract rasterize()

Rasterize the image.

abstract render()

Render the image.

abstract show()

Show the image.

property transformed_image

Underlying transformed image.

Returns:

image – Underlying transformed image shown in the plot.

Return type:

np.ndarray

class lsst.cst.image_display.OnClickInteract(image_display, options=OnClickInteractOptions(color='white', marker='x', size=20))

Interactive display with a tap tool to show extra information.

Parameters:

• options (OnClickInteract, Optional) – Interact display options.

• image_display (ImageDisplay) –

options

alias of OnClickInteractOptions

show()

Show interactive display.

class lsst.cst.image_display.RGBImageDisplay(image, title='Untitled', xlabel='X', ylabel='Y', options=ImageOptions(cmap=None, height=600, padding=0.01, fontsize={'title': 16, 'xlabel': 14, 'ylabel': 14, 'ticks': 12}, toolbar_position='right', show_grid=True, tools=[], width=700, xaxis='bottom', yaxis='left'))

Plot RGB image.

Parameters:

• image (numpy.ndarray) – 3D image array to be show in the plot.

• title (str) – title of the plot.

• xlabel (str) – label for the x coordinates.

• ylabel (str) – label for the y coordinates.

• options (Options) – Options for the underlying plot object.

image()

Underlying image.

Returns:

image – Underlying image used to create the plot.

Return type:

np.ndarray

rasterize()

Rasterize the image.

render()

Render the image.

show()

Show the image.