Merge pull request #865 from larrybradley/requires-skimage

Remove skimage from several doctest-requires
astropy · Jun 11, 2019 · 28984f6 · 28984f6
2 parents c35e900 + 3272327
commit 28984f6
Show file tree

Hide file tree

Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/docs/morphology.rst b/docs/morphology.rst
@@ -36,7 +36,7 @@ First, we create the source image and subtract its background::
 
 Then, calculate its properties:
 
-.. doctest-requires:: scipy, skimage
+.. doctest-requires:: scipy
 
     >>> from photutils import data_properties
     >>> cat = data_properties(data)

diff --git a/docs/psf.rst b/docs/psf.rst
@@ -35,9 +35,9 @@ carefully with undersampled data or detectors with significant intra-pixel
 sensitivity variations. For a more detailed description of this formalism, see
 `Anderson & King 2000 <http://adsabs.harvard.edu/abs/2000PASP..112.1360A>`_.
 
-All this said, in colloquial usage "PSF photometry" sometimes refers to the more 
+All this said, in colloquial usage "PSF photometry" sometimes refers to the more
 general task of model-fitting photometry (with the effects of the PSF either
-implicitly or explicitly included in the models), regardless of exactly what 
+implicitly or explicitly included in the models), regardless of exactly what
 kind of model is actually being fit. For brevity (e.g., ``photutils.psf``), we
 use "PSF photometry"  in this way, as a shorthand for the general approach.
 
@@ -277,7 +277,7 @@ Then let's import the required classes to set up a `~photutils.psf.IterativelySu
 
 Let's then instantiate and use the objects:
 
-.. doctest-requires:: scipy, skimage
+.. doctest-requires:: scipy
 
     >>> bkgrms = MADStdBackgroundRMS()
     >>> std = bkgrms(image)
@@ -584,7 +584,7 @@ star as well. Also, note that both of the stars have ``sigma=2.0``.
 Let's instantiate the necessary objects in order to use an
 `~photutils.psf.IterativelySubtractedPSFPhotometry` to perform photometry:
 
-.. doctest-requires:: scipy, skimage
+.. doctest-requires:: scipy
 
     >>> daogroup = DAOGroup(crit_separation=8)
     >>> mmm_bkg = MMMBackground()
@@ -602,7 +602,7 @@ Let's instantiate the necessary objects in order to use an
 
 Now, let's use the callable ``itr_phot_obj`` to perform photometry:
 
-.. doctest-requires:: scipy, skimage
+.. doctest-requires:: scipy
 
     >>> phot_results = itr_phot_obj(image)
     >>> phot_results['id', 'group_id', 'iter_detected', 'x_0', 'y_0', 'flux_0'] #doctest: +SKIP