ENH: clean up ndimage namespace, add __all__ dicts.

scipy/ndimage/__init__.py

@@ -28,21 +28,16 @@
 # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-import numpy
 from filters import *
 from fourier import *
 from interpolation import *
 from measurements import *
 from morphology import *
 from io import *
 
-# doccer is moved to scipy.misc in scipy 0.8
-from scipy.misc import doccer
-doccer = numpy.deprecate(doccer, old_name='doccer',
-                         new_name='scipy.misc.doccer')
-
 from info import __doc__
 __version__ = '2.0'
 
+__all__ = filter(lambda s: not s.startswith('_'), dir())
 from numpy.testing import Tester
 test = Tester().test

scipy/ndimage/filters.py

@@ -34,6 +34,16 @@
 import _nd_image
 from scipy.misc import doccer
 
+__all__ = ['correlate1d', 'convolve1d', 'gaussian_filter1d', 'gaussian_filter',
+           'prewitt', 'sobel', 'generic_laplace', 'laplace',
+           'gaussian_laplace', 'generic_gradient_magnitude',
+           'gaussian_gradient_magnitude', 'correlate', 'convolve',
+           'uniform_filter1d', 'uniform_filter', 'minimum_filter1d',
+           'maximum_filter1d', 'minimum_filter', 'maximum_filter',
+           'rank_filter', 'median_filter', 'percentile_filter',
+           'generic_filter1d', 'generic_filter']
+
+
 _input_doc = \
 """input : array-like
     input array to filter"""

scipy/ndimage/fourier.py

@@ -33,6 +33,10 @@
 import _ni_support
 import _nd_image
 
+__all__ = ['fourier_gaussian', 'fourier_uniform', 'fourier_ellipsoid',
+           'fourier_shift']
+
+
 def _get_output_fourier(output, input):
     if output is None:
         if input.dtype.type in [numpy.complex64, numpy.complex128,

scipy/ndimage/interpolation.py

@@ -33,6 +33,10 @@
 import _ni_support
 import _nd_image
 
+__all__ = ['spline_filter1d', 'spline_filter', 'geometric_transform',
+           'map_coordinates', 'affine_transform', 'shift', 'zoom', 'rotate']
+
+
 def _extend_mode_to_code(mode):
     mode = _ni_support._extend_mode_to_code(mode)
     return mode

scipy/ndimage/measurements.py

@@ -34,6 +34,12 @@
 import _nd_image
 import morphology
 
+__all__ = ['label', 'find_objects', 'labeled_comprehension', 'sum', 'mean',
+           'variance', 'standard_deviation', 'minimum', 'maximum',
+           'minimum_position', 'maximum_position', 'extrema', 'center_of_mass',
+           'histogram', 'watershed_ift']
+
+
 def label(input, structure = None, output = None):
     """
     Label features in an array.
@@ -417,7 +423,7 @@ def _sum_centered(labels):
     if (not _safely_castable_to_int(labels.dtype) or
             labels.min() < 0 or labels.max() > labels.size):
         unique_labels, new_labels = numpy.unique(labels, return_inverse=True)
-        counts = numpy.bincount(new_labels) 
+        counts = numpy.bincount(new_labels)
         sums = numpy.bincount(new_labels, weights=input.ravel())
         if centered:
             sums_c = _sum_centered(new_labels)

scipy/ndimage/morphology.py

@@ -33,6 +33,14 @@
 import _nd_image
 import filters
 
+__all__ = ['iterate_structure', 'generate_binary_structure', 'binary_erosion',
+           'binary_dilation', 'binary_opening', 'binary_closing',
+           'binary_hit_or_miss', 'binary_propagation', 'binary_fill_holes',
+           'grey_erosion', 'grey_dilation', 'grey_opening', 'grey_closing',
+           'morphological_gradient', 'morphological_laplace', 'white_tophat',
+           'black_tophat', 'distance_transform_bf', 'distance_transform_cdt',
+           'distance_transform_edt']
+
 
 def _center_is_true(structure, origin):
     structure = numpy.array(structure)