Package Details: python2-pyfits 3.4-1

Git Clone URL: https://aur.archlinux.org/python2-pyfits.git (read-only)
Package Base: python2-pyfits
Description: A python language interface to FITS formatted data files
Upstream URL: http://www.stsci.edu/resources/software_hardware/pyfits
Licenses: BSD
Submitter: ressler
Maintainer: migueldvb
Last Packager: migueldvb
Votes: 15
Popularity: 0.000002
First Submitted: 2011-08-30 18:47
Last Updated: 2016-01-31 03:56

Required by (3)

Sources (1)

Latest Comments

ressler commented on 2015-02-20 19:48

Now that python2-astropy-1.0 has been released and is available in the AUR, I'm going to disown this package as it is obsolete. If you still use pyfits and are desperate, if you formerly called it with

import pyfits

you can install astropy and call it with

from astropy.io import fits as pyfits

without changing any other code. Good luck!

ressler commented on 2014-07-22 04:53

Update to v3.3. See python-pyfits for more commentary.

ressler commented on 2014-03-29 16:52

Bugfix update to 3.2.2. Includes official python-3.4 support.

ressler commented on 2013-12-05 20:04

Update to 3.2.

ressler commented on 2013-06-20 17:05

Bugfix update to 3.1.2.

dwalz commented on 2013-06-18 10:18

Validating source files with md5sums...
pyfits-3.1.1.tar.gz ... FAILED

ressler commented on 2013-01-16 23:42

Bugfix update to 3.1.1.

ressler commented on 2012-08-10 17:05

Sorry for the churn. I missed the filename collision with the script /usr/bin/fitsdiff if you have both python-pyfits and python2-pyfits installed. To be clear, both versions of pyfits install the executable scripts /usr/bin/fitscheck and /usr/bin/fitsdiff. To avoid collisions and to follow python vs python2 precedent, the scripts installed by python2-pyfits are renamed as /usr/bin/fitscheck2 and /usr/bin/fitsdiff2. If someone knows a better way to deal with this, I would be happy to implement it.

ressler commented on 2012-08-10 16:53

Upgrade to 3.1.

ressler commented on 2012-06-19 16:45

Bug fix update to 3.0.8. Handling of scaled data is much improved.

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