Prepare for statmorph v0.3.0.

vrodgom · Jun 15, 2018 · 612695d · 612695d
1 parent e341ab6
commit 612695d
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Showing 6 changed files with 9 additions and 7 deletions.
diff --git a/MANIFEST.in b/MANIFEST.in
@@ -1,4 +1,4 @@
 include LICENSE
 include *.rst *.txt
-recursive-include statmorph *.py
+recursive-include statmorph *.py *.fits
 recursive-include notebooks *.ipynb
diff --git a/README.rst b/README.rst
@@ -21,7 +21,7 @@ morphological statistics for each source:
 - Some properties associated to the above statistics (Petrosian radii,
   half-light radii, etc.)
 
-Although the Sersic index is, by definition, the opposite of a non-parametric
+Although the Sersic index is the opposite of a non-parametric
 morphological quantity, it is included anyway due to its popularity.
 
 This Python implementation is largely based on IDL code originally

diff --git a/requirements.txt b/requirements.txt
@@ -1,4 +1,4 @@
 scipy>=0.19
-scikit-image>=0.13
+scikit-image>=0.14
 astropy>=2.0
 photutils>=0.3
diff --git a/setup.py b/setup.py
@@ -11,7 +11,7 @@
 
 setup(
     name='statmorph',
-    version='0.2.1',
+    version='0.3.0',
     description='Non-parametric morphological diagnostics of galaxy images',
     long_description=long_description,
     url='https://github.com/vrodgom/statmorph',
@@ -33,7 +33,7 @@
     keywords='astronomy galaxies galaxy-morphology non-parametric',
     packages=['statmorph', 'statmorph.tests'],
     install_requires=['scipy>=0.19',
-                      'scikit-image>=0.13',
+                      'scikit-image>=0.14',
                       'astropy>=2.0',
                       'photutils>=0.3'],
 )
diff --git a/statmorph/statmorph.py b/statmorph/statmorph.py
@@ -25,7 +25,7 @@
 __all__ = ['ConvolvedSersic2D', 'SourceMorphology', 'source_morphology',
            '__version__']
 
-__version__ = '0.2.1'
+__version__ = '0.3.0'
 
 def _quantile(sorted_values, q):
     """

diff --git a/statmorph/tests/test_statmorph.py b/statmorph/tests/test_statmorph.py
@@ -6,6 +6,7 @@
 from __future__ import absolute_import, division, print_function
 
 import numpy as np
+import os
 import time
 import statmorph
 from astropy.io import fits
@@ -52,7 +53,8 @@ def test1():
     """
     Check values for a randomly chosen galaxy.
     """
-    hdulist = fits.open('data_slice.fits')
+    curdir = os.path.dirname(__file__)
+    hdulist = fits.open('%s/data_slice.fits' % (curdir))
     image = hdulist[0].data
     segmap = hdulist[1].data
     mask = np.bool8(hdulist[2].data)