histogramdd normed argument replaced by density (#3976)

* histogramdd normed argument replaced by density
* pin numpy for 32bit in azure pipelines

azure-pipelines.yml

@@ -25,6 +25,7 @@ jobs:
           PYTHON_VERSION: '3.8'
           PYTHON_ARCH: 'x86'
           BUILD_TYPE: 'normal'
+          NUMPY_MIN: '1.20.0'
           imageName: 'windows-2019'
         Win-Python38-64bit-full:
           PYTHON_VERSION: '3.8'
@@ -102,8 +103,8 @@ jobs:
   # to check the ABI compatibility of our wheels
   - script: >-
       python -m pip install numpy==$(NUMPY_MIN)
-    displayName: 'pin to older NumPy (wheel test)'
-    condition: and(succeeded(), eq(variables['BUILD_TYPE'], 'wheel'))
+    displayName: 'pin to older NumPy (wheel test and 32bit)'
+    condition: and(succeeded(), ne(variables['NUMPY_MIN'], ''))
   - script: >-
       python -m pip install
       biopython
@@ -120,6 +121,9 @@ jobs:
       rdkit>=2020.03.1
     displayName: 'Install additional dependencies for 64-bit tests'
     condition: and(succeeded(), eq(variables['PYTHON_ARCH'], 'x64'))
+  - script: >-
+      pip list
+    displayName: 'List of installed dependencies'
   - powershell: |
       cd package
       python setup.py install

package/CHANGELOG

@@ -26,6 +26,15 @@ Changes
 Deprecations
 
 
+12/21/22 IAlibay
+
+ * 2.4.2
+
+Fixes
+  * np.histogramdd calls in :class:`DensityAnalysis` now pass the `density`
+    argument rather than the NumPy 1.24 removed `normed` (PR #3976)
+
+
 12/17/22 IAlibay
 
  * 2.4.1

package/MDAnalysis/analysis/density.py

@@ -463,7 +463,7 @@ def _prepare(self):
         bins = BINS['Nbins']
         # create empty grid with the right dimensions (and get the edges)
         grid, edges = np.histogramdd(np.zeros((1, 3)), bins=bins,
-                                     range=arange, normed=False)
+                                     range=arange, density=False)
         grid *= 0.0
         self._grid = grid
         self._edges = edges
@@ -473,7 +473,7 @@ def _prepare(self):
     def _single_frame(self):
         h, _ = np.histogramdd(self._atomgroup.positions,
                               bins=self._bins, range=self._arange,
-                              normed=False)
+                              density=False)
         # reduce (proposed change #2542 to match the parallel version in pmda.density)
         # return self._reduce(self._grid, h)
         #
@@ -644,7 +644,7 @@ class Density(Grid):
 
     If the input histogram consists of counts per cell then the
     :meth:`Density.make_density` method converts the grid to a physical density. For
-    a probability density, divide it by :meth:`Density.grid.sum` or use ``normed=True``
+    a probability density, divide it by :meth:`Density.grid.sum` or use ``density=True``
     right away in :func:`~numpy.histogramdd`.
 
     The user *should* set the *parameters* keyword (see docs for the