Loading WCS Information from a FITS File#
This example loads a FITS file (supplied on the command line) and uses the FITS keywords in its primary header to create a WCS and transform.
# Load the WCS information from a fits header, and use it # to convert pixel coordinates to world coordinates. import sys import numpy as np from astropy import wcs from astropy.io import fits def load_wcs_from_file(filename): # Load the FITS hdulist using astropy.io.fits hdulist = fits.open(filename) # Parse the WCS keywords in the primary HDU w = wcs.WCS(hdulist.header) # Print out the "name" of the WCS, as defined in the FITS header print(w.wcs.name) # Print out all of the settings that were parsed from the header w.wcs.print_contents() # Three pixel coordinates of interest. # Note we've silently assumed an NAXIS=2 image here. # The pixel coordinates are pairs of [X, Y]. # The "origin" argument indicates whether the input coordinates # are 0-based (as in Numpy arrays) or # 1-based (as in the FITS convention, for example coordinates # coming from DS9). pixcrd = np.array([[0, 0], [24, 38], [45, 98]], dtype=np.float64) # Convert pixel coordinates to world coordinates # The second argument is "origin" -- in this case we're declaring we # have 0-based (Numpy-like) coordinates. world = w.wcs_pix2world(pixcrd, 0) print(world) # Convert the same coordinates back to pixel coordinates. pixcrd2 = w.wcs_world2pix(world, 0) print(pixcrd2) # These should be the same as the original pixel coordinates, modulo # some floating-point error. assert np.max(np.abs(pixcrd - pixcrd2)) < 1e-6 # The example below illustrates the use of "origin" to convert between # 0- and 1- based coordinates when executing the forward and backward # WCS transform. x = 0 y = 0 origin = 0 assert (w.wcs_pix2world(x, y, origin) == w.wcs_pix2world(x + 1, y + 1, origin + 1)) if __name__ == '__main__': load_wcs_from_file(sys.argv[-1])