Commits on May 15, 2017

1. Add ignore_nan option to mad_std …

   (this is a squash of 38 commits with messages below:)
   
   make mad_std nan-compatible
   
   mad_std too
   
   add changelog entry
   
   np->numpy in docstrings & check numpy version (using 1.9, because
   officially it was added to numpy then according to their docs...)
   
   use astropy.utils.compat (thanks @bsipocz)
   
   1_9, not 1P9
   
   bump to 1.10 to avoid np 1.9 weirdness
   
   attempt to work around older numpy versions using ma.median
   
   add tests for scalarness and use np.ma.median except when axis=None.
   Also, change 'a' to 'data'.  'a' is a bad variable name and led to a few
   mistakes
   
   add another test of madstd with nan & axes
   
   add a warning about NaNs in arrays for np<1.10.  Remove a test for those
   versions.
   
   update docstrings & changelog.  Add deprecation of old argument
   
   correct the code to match the comment
   
   change order of bool checking to do expensive one last
   
   Test appropriate numpy versions, check warnings, and use asked array comparison
   
   switch to catch_warnigns
   
   for numpy 1.13, treatment of NaNs in masked arrays changed
   
   add GE_13 to __ALL__
   
   xfail the masked array test to avoid supporting incorrect behavior
   see
   astropy#5232 (review)
   
   udpate the special cases as per @mwcraig's helpful chart!
   
   fix the tests: the behavior of the function when given masked arrays vs
   non-masked arrays has changed: we're now forcing the correct behavior
   for earlier versions
   
   implement @juliantaylor's  suggetions
   
   test should no longer use np.ma.allclose (though I don't know why ma
   wouldn't just work....)
   
   this commit will fail: I've fixed the underlying issue but kept the
   tests flexible using the wrong data type...
   
   tests for array type
   
   double backticks
   
   a second instance of bacticks
   
   had a case wrong: one of the warn cases should *not* return a NaN for
   np<1.11 (which is why we're catching a warning there)
   
   numpy 1.10 np.ma.median([1,2,nan,4,5]) returns nan by default
   
   no more old numpy supports.  Mixed feelings about this
   
   fix an import
   
   cleanup to address the numpy <=1.8 deprecation
   
   more cleanup
   
   fix changelog
   
   add a note about keepdims
   
   whitespace fix
   
   fix imports
   
   trailing whitespace?!!?!?!

   

   keflavich committed May 15, 2017
   Configuration menu

   • View commit details
   • Copy full SHA for e96efa7
   • Browse repository at this point

   Copy the full SHA

   e96efa7 View commit details

   Browse the repository at this point in the history