Removes the libpysal dependency that appears to be pinned to scipy0.11

.travis.yml

@@ -45,9 +45,8 @@ install:
   - conda config --add channels jlaura
   - conda install python=$PYTHON_VERSION
   - conda install -c conda-forge gdal h5py
-  - conda install pandas sqlalchemy pyyaml networkx
+  - conda install pandas sqlalchemy pyyaml networkx affine
   - conda install -c jlaura pvl protobuf
-  - pip install affine libpysal
 
   # Development installation
   - conda install nose coverage sh anaconda-client

appveyor.yml

@@ -40,7 +40,7 @@ install:
     - cmd: set PYTHONUNBUFFERED=1
 
     - cmd: conda config --set show_channel_urls true
-    - cmd: conda install --yes python=3.5 
+    - cmd: conda install --yes python=3.5
     - cmd: conda install -c pelson/channel/development --yes --quiet obvious-ci
     - cmd: conda config --add channels conda-forge
     - cmd: conda info
@@ -56,10 +56,9 @@ install:
     - cmd: conda install --yes -c conda-forge gdal h5py
     - cmd: conda install --yes pandas sqlalchemy pyyaml networkx affine
     - cmd: conda install --yes -c jlaura protobuf pvl
-    - cmd: pip install libpysal
 
     # Development installation
-    - cmd: conda install --yes nose coverage
+    - cmd: conda install --yes nose coverage pytest
     - cmd: pip install coveralls
 
 # Skip .NET project specific build phase.

plio/geofuncs/geofuncs.py

@@ -133,3 +133,31 @@ def find_four_corners(coords, threshold=120):
     ll = min(lower, key=key)
 
     return ul, ur, lr, ll
+
+def is_clockwise(vertices):
+    """
+    Returns whether a list of points describing a polygon are clockwise or counterclockwise.
+    is_clockwise(Point list) -> bool
+    Parameters
+    ----------
+    vertices : a list of points that form a single ring
+    Examples
+    --------
+    >>> is_clockwise([Point((0, 0)), Point((10, 0)), Point((0, 10))])
+    False
+    >>> is_clockwise([Point((0, 0)), Point((0, 10)), Point((10, 0))])
+    True
+    >>> v = [(-106.57798, 35.174143999999998), (-106.583412, 35.174141999999996), (-106.58417999999999, 35.174143000000001), (-106.58377999999999, 35.175542999999998), (-106.58287999999999, 35.180543), (-106.58263099999999, 35.181455), (-106.58257999999999, 35.181643000000001), (-106.58198299999999, 35.184615000000001), (-106.58148, 35.187242999999995), (-106.58127999999999, 35.188243), (-106.58138, 35.188243), (-106.58108, 35.189442999999997), (-106.58104, 35.189644000000001), (-106.58028, 35.193442999999995), (-106.580029, 35.194541000000001), (-106.57974399999999, 35.195785999999998), (-106.579475, 35.196961999999999), (-106.57922699999999, 35.198042999999998), (-106.578397, 35.201665999999996), (-106.57827999999999, 35.201642999999997), (-106.57737999999999, 35.201642999999997), (-106.57697999999999, 35.201543000000001), (-106.56436599999999, 35.200311999999997), (-106.56058, 35.199942999999998), (-106.56048, 35.197342999999996), (-106.56048, 35.195842999999996), (-106.56048, 35.194342999999996), (-106.56048, 35.193142999999999), (-106.56048, 35.191873999999999), (-106.56048, 35.191742999999995), (-106.56048, 35.190242999999995), (-106.56037999999999, 35.188642999999999), (-106.56037999999999, 35.187242999999995), (-106.56037999999999, 35.186842999999996), (-106.56037999999999, 35.186552999999996), (-106.56037999999999, 35.185842999999998), (-106.56037999999999, 35.184443000000002), (-106.56037999999999, 35.182943000000002), (-106.56037999999999, 35.181342999999998), (-106.56037999999999, 35.180433000000001), (-106.56037999999999, 35.179943000000002), (-106.56037999999999, 35.178542999999998), (-106.56037999999999, 35.177790999999999), (-106.56037999999999, 35.177143999999998), (-106.56037999999999, 35.175643999999998), (-106.56037999999999, 35.174444000000001), (-106.56037999999999, 35.174043999999995), (-106.560526, 35.174043999999995), (-106.56478, 35.174043999999995), (-106.56627999999999, 35.174143999999998), (-106.566541, 35.174144999999996), (-106.569023, 35.174157000000001), (-106.56917199999999, 35.174157999999998), (-106.56938, 35.174143999999998), (-106.57061499999999, 35.174143999999998), (-106.57097999999999, 35.174143999999998), (-106.57679999999999, 35.174143999999998), (-106.57798, 35.174143999999998)]
+    >>> is_clockwise(v)
+    True
+    """
+    if len(vertices) < 3:
+        return True
+    area = 0.0
+    ax, ay = vertices[0]
+    for bx, by in vertices[1:]:
+        area += ax * by - ay * bx
+        ax, ay = bx, by
+    bx, by = vertices[0]
+    area += ax * by - ay * bx
+    return area < 0.0

plio/io/io_gdal.py

@@ -14,8 +14,6 @@ from plio.io import extract_metadata
 from plio.geofuncs import geofuncs
 from plio.utils.utils import find_in_dict
 
-from libpysal.cg import is_clockwise
-
 gdal.UseExceptions()
 
 NP2GDAL_CONVERSION = {
@@ -220,7 +218,7 @@ class GeoDataset(object):
     @property
     def north_up(self):
         if self.footprint:
-            return is_clockwise(json.loads(self.footprint.ExportToJson())['coordinates'][0][0])
+            return geofuncs.is_clockwise(json.loads(self.footprint.ExportToJson())['coordinates'][0][0])
         else:
             return True