- Slicing bugfix.

README.md

@@ -4,11 +4,12 @@
 
 Exposes (bio) images as a numpy ndarray-like object, but without loading the whole
 image into memory, reading from the file only when needed. Some metadata is read
-and stored in an ome structure. Additionally, it can automatically calculate an affine
-transform that corrects for chromatic aberrations etc. and apply it on the fly to the image.
+and stored in an [ome](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2005-6-5-r47) structure.
+Additionally, it can automatically calculate an affine transform that corrects for chromatic aberrations etc. and apply
+it on the fly to the image.
 
-Currently, supports imagej tif files, czi files, micromanager tif sequences and anything
-bioformats can handle. 
+Currently, it supports imagej tif files, czi files, micromanager tif sequences and anything
+[bioformats](https://www.openmicroscopy.org/bio-formats/) can handle. 
 
 ## Installation
 

ndbioimage/__init__.py

@@ -277,8 +277,7 @@ def __getitem__(self, n):
                 new_slice.append(s[e])
 
         # TODO: check output dimensionality when requested shape in some dimension is 1
-        if (all([isinstance(s, Number) for s in new_slice[:len(self.axes)]])
-                and all([isinstance(s, Number) or s.size == 1 for s in new_slice[len(self.axes):]])):
+        if all([isinstance(s, Number) or a < 0 and s.size == 1 for s, a in zip(new_slice, axes_idx)]):
             return self.block(*new_slice).item()
         else:
             new = View(self)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "ndbioimage"
-version = "2023.11.0"
+version = "2023.11.1"
 description = "Bio image reading, metadata and some affine registration."
 authors = ["W. Pomp <w.pomp@nki.nl>"]
 license = "GPLv3"