Drop 3.7 support

Author: sjsrey

.github/workflows/unittests.yml

@@ -19,7 +19,13 @@
      strategy:
        matrix:
          os: ['ubuntu-latest']
-         environment-file: [ci/37-minimal.yaml, ci/37.yaml, ci/38.yaml, ci/39.yaml, ci/310.yaml, ci/310_shapely_dev.yaml]
+         environment-file: [
+            ci/38-minimal.yaml,
+            ci/38.yaml,
+            ci/39.yaml,
+            ci/310.yaml,
+            ci/310_shapely_dev.yaml
+         ]
          include:
            - environment-file: ci/310.yaml
              os: macos-latest

ci/37.yaml

@@ -2,7 +2,7 @@ name: test
 channels:
   - conda-forge
 dependencies:
-  - python=3.7
+  - python=3.8
   - platformdirs
   - beautifulsoup4
   - jinja2
@@ -14,4 +14,4 @@ dependencies:
   - matplotlib
   - pytest
   - pytest-cov
-  - pytest-xdist
+  - pytest-xdist

ci/37-minimal.yaml renamed to ci/38-minimal.yaml

@@ -23,10 +23,12 @@ def test_data_home(self):
         head, tail = os.path.split(pth)
         self.assertEqual(tail, "pysal")
         if os_name == "Linux":
-            heads = head.split("/")
-            self.assertEqual(heads[1], "home")
-            self.assertEqual(heads[-1], "share")
-            self.assertEqual(heads[-2], ".local")
+            if "XDG_DATA_HOME" in os.environ:
+                self.assertEqual(head, os.environ["XDG_DATA_HOME"])
+            else:
+                heads = head.split("/")
+                self.assertEqual(heads[-1], "share")
+                self.assertEqual(heads[-2], ".local")
         elif os_name == "Darwin":
             heads = head.split("/")
             self.assertEqual(heads[1], "Users")

libpysal/examples/tests/test_available.py

@@ -38,7 +38,7 @@ class Rook(W):
                 optional arguments for :class:`pysal.weights.W`
 
     See Also
-    ---------
+    --------
     :class:`libpysal.weights.weights.W`
     """
 

libpysal/weights/contiguity.py

@@ -580,7 +580,7 @@ def from_shapefile(cls, filepath, idVariable=None, **kwargs):
         Kernel Weights Object
 
         See Also
-        ---------
+        --------
         :class:`libpysal.weights.weights.W`
         """
         points = get_points_array_from_shapefile(filepath)
@@ -860,7 +860,7 @@ def from_shapefile(cls, filepath, threshold, idVariable=None, **kwargs):
                       name of column in shapefile's DBF to use for ids
 
         Returns
-        --------
+        -------
         Kernel Weights Object
 
         """

libpysal/weights/distance.py

@@ -23,8 +23,8 @@ class Delaunay(W):
     a graph from the input set of points. Will be slower without numba,
     and will warn if this is missing. 
 
-    Arguments
-    ---------
+    Parameters
+    ----------
     coordinates :   array of points, (N,2)
         numpy array of coordinates containing locations to compute the
         delaunay triangulation
@@ -79,8 +79,8 @@ def from_dataframe(cls, df, **kwargs):
         Polygons or lines must be converted to points (e.g. using 
         df.geometry.centroid).
 
-        Arguments
-        ---------
+        Parameters
+        ----------
         df  :   geopandas.GeoDataFrame
             GeoDataFrame containing points to construct the Delaunay 
             Triangulation. 
@@ -114,13 +114,14 @@ class Gabriel(Delaunay):
 
     For a link (i,j) connecting node i to j in the Delaunay triangulation
     to be retained in the Gabriel graph, it must pass a point set exclusion test:
+
     1. Construct the circle C_ij containing link (i,j) as its diameter
     2. If any other node k is contained within C_ij, then remove link (i,j) 
        from the graph. 
     3. Once all links are evaluated, the remaining graph is the Gabriel graph. 
 
-    Arguments
-    ---------
+    Parameters
+    ----------
     coordinates :   array of points, (N,2)
         numpy array of coordinates containing locations to compute the
         delaunay triangulation
@@ -159,8 +160,8 @@ class Relative_Neighborhood(Delaunay):
     This means that the points are at least as close to one another 
     as they are to any other point. 
     
-    Arguments
-    ---------
+    Parameters
+    ----------
     coordinates :   array of points, (N,2)
         numpy array of coordinates containing locations to compute the
         delaunay triangulation

libpysal/weights/gabriel.py

@@ -211,7 +211,7 @@ def vecW(
 
 
     Returns
-    ------
+    -------
     W           : DistanceBand W object that uses 4-dimenional distances between
                   vectors origin and destination coordinates.
 

libpysal/weights/spintW.py

@@ -83,7 +83,6 @@ def setup_package():
             "Topic :: Scientific/Engineering :: GIS",
             "License :: OSI Approved :: BSD License",
             "Programming Language :: Python",
-            "Programming Language :: Python :: 3.7",
             "Programming Language :: Python :: 3.8",
             "Programming Language :: Python :: 3.9",
             "Programming Language :: Python :: 3.10",