lsst.afw.display

Contributing

lsst.afw.display is developed at https://github.com/lsst/afw. You can find Jira issues for this module under the afw component.

Python API reference

lsst.afw.display Package

Application Framework code to display images.

Functions

computeIntensity(imageR[, imageG, imageB])	Return a naive total intensity from the red, blue, and green intensities
delAllDisplays()	Delete and close all known displays.
displayRGB(rgb[, show])	Display an rgb image using matplotlib
getDefaultBackend()
getDefaultFrame()	Get the default frame for display.
getDisplay([frame, backend, create, verbose])	Return a specific Display, creating it if need be.
getZScale(*args, **kwargs)	Overloaded function.
h_callback(k, x, y)
incrDefaultFrame()	Increment the default frame for display.
makeRGB(imageR[, imageG, imageB, minimum, ...])	Make a set of three images into an RGB image using an asinh stretch and optionally write it to disk
noop_callback(k, x, y)	Callback function
replaceSaturatedPixels(rim, gim, bim[, ...])
setDefaultBackend(backend)
setDefaultFrame([frame])
setDefaultMaskPlaneColor([name, color])	Set the default mapping from mask plane names to colors.
setDefaultMaskTransparency([...])
writeFitsImage(file, data[, wcs, title, ...])	Write a simple FITS file with no extensions.
writeRGB(fileName, rgbImage)	Write an RGB image to disk

Classes

AsinhMapping(minimum, dataRange[, Q])	A mapping for an asinh stretch (preserving colours independent of brightness)
AsinhZScaleMapping(image[, Q, pedestal])	A mapping for an asinh stretch, estimating the linear stretch by zscale
Display([frame, backend])	Create an object able to display images and overplot glyphs.
Event(k[, x, y])	A class to handle events such as key presses in image display windows.
LinearMapping([minimum, maximum, image])	A linear map of red, blue, green intensities into uint8 values
Mapping([minimum, image])	Base class to map red, blue, green intensities into uint8 values
Mosaic([gutter, background, mode])	A class to handle mosaics of one or more identically-sized images (or Mask or MaskedImage)
ZScaleMapping(image[, nSamples, contrast])	A mapping for a linear stretch chosen by the zscale algorithm (preserving colours independent of brightness)