def test_merge_multipoints_different_crs(self):
mp1 = Multipoint(zip(np.arange(0, 5), np.arange(3, 8)),
data={
"A": np.arange(5),
"B": np.arange(10, 15)
},
crs=LonLatWGS84)
mp2 = Multipoint(zip(np.arange(0, 5) + 1,
np.arange(3, 8) - 2),
data={
"A": np.arange(5),
"C": np.arange(15, 20)
},
crs=WebMercator)
mp = Multipoint.merge(mp1, mp2, crs=WebMercator)
self.assertTrue(len(mp), 10)
self.assertEqual(set(mp.data.fields), set(["A"]))
self.assertEqual(mp.crs, WebMercator)
self.assertTrue(
np.allclose(
mp.coords(),
np.array([[
0.00000000e+00, 1.11319491e+05, 2.22638982e+05,
3.33958472e+05, 4.45277963e+05, 1.00000000e+00,
2.00000000e+00, 3.00000000e+00, 4.00000000e+00,
5.00000000e+00
],
[
3.34111171e+05, 4.45640110e+05, 5.57305257e+05,
6.69141057e+05, 7.81182214e+05, 1.00000000e+00,
2.00000000e+00, 3.00000000e+00, 4.00000000e+00,
5.00000000e+00
]])))
def test_merge_multipoints(self):
mp1 = Multipoint(zip(np.arange(0, 5), np.arange(3, 6)),
properties={
"a": 1,
"b": 2
},
data={
"A": np.arange(5),
"B": np.arange(10, 15)
})
mp2 = Multipoint(zip(np.arange(0, 5) + 1,
np.arange(3, 6) - 2),
properties={
"a": 1,
"c": 3
},
data={
"A": np.arange(5),
"C": np.arange(15, 20)
})
mp = merge_multiparts(mp1, mp2)
self.assertTrue(len(mp), 10)
self.assertEqual(set(mp.data.fields), set(["A"]))
self.assertEqual(set(mp.properties.keys()), set(["a", "b", "c"]))
self.assertEqual(mp.properties["a"], 1)
def test_multipoint_from_points(self):
pts = [Point((x, y), data={"d": d}, properties={"p":i}, crs=LonLatWGS84)
for i,((x,y),d) in enumerate(zip(self.vertices, self.data))]
mp = Multipoint(pts)
ans = Multipoint(self.vertices, data={"p":range(len(pts))}, crs=LonLatWGS84)
self.assertEqual(mp, ans)
return
def test_merge_points(self):
pt1 = Point((1, 2), properties={"number": 16})
mp1 = Multipoint([(5, 6), (5, 4), (4, 3)],
data={"number": [2, 76, 4]})
pt2 = Point((3, 4, 5), properties={"number": 22, "temperature": "hot"})
mp2 = Multipoint([(5, 6), (4, 7), (3, 9), (4, 9)],
data={"number": [4, 674, 32, 56],
"temperature": ["cool", "hot", "scorching", "mild"]})
merged = Multipoint.merge(pt1, mp1, pt2, mp2)
self.assertEqual(len(merged), 9)
self.assertEqual(merged.vertices.asarray().shape, (9, 2))
self.assertEqual(merged.d["number"], [16, 2, 76, 4, 22, 4, 674, 32, 56])
def test_merge_multipoints(self):
mp1 = Multipoint(zip(np.arange(0, 5), np.arange(3, 8)),
data={
"A": np.arange(5),
"B": np.arange(10, 15)
})
mp2 = Multipoint(zip(np.arange(0, 5) + 1,
np.arange(3, 8) - 2),
data={
"A": np.arange(5),
"C": np.arange(15, 20)
})
mp = Multipoint.merge(mp1, mp2)
self.assertTrue(len(mp), 10)
self.assertEqual(set(mp.data.fields), set(["A"]))
def test_multipoint_from_points(self):
x = range(-5, 5)
y = [x_**2 for x_ in x]
vertices = list(zip(x, y))
data = [x_ * y_ for (x_, y_) in vertices]
pts = [
Point((x, y), properties={"p": i}, crs=LonLatWGS84)
for i, ((x, y), d) in enumerate(zip(vertices, data))
]
mp = Multipoint(pts)
ans = Multipoint(vertices,
data={"p": range(len(pts))},
crs=LonLatWGS84)
self.assertEqual(mp, ans)
def test_merge_multipoints_different_crs(self):
mp1 = Multipoint(zip(np.arange(0, 5), np.arange(3, 6)),
properties={
"a": 1,
"b": 2
},
data={
"A": np.arange(5),
"B": np.arange(10, 15)
},
crs=LonLatWGS84)
mp2 = Multipoint(zip(np.arange(0, 5) + 1,
np.arange(3, 6) - 2),
properties={
"a": 1,
"c": 3
},
data={
"A": np.arange(5),
"C": np.arange(15, 20)
},
crs=WebMercator)
mp = merge_multiparts(mp1, mp2, crs=WebMercator)
self.assertTrue(len(mp), 10)
self.assertEqual(set(mp.data.fields), set(["A"]))
self.assertEqual(set(mp.properties.keys()), set(["a", "b", "c"]))
self.assertEqual(mp.properties["a"], 1)
self.assertEqual(mp.crs, WebMercator)
self.assertTrue(
np.allclose(
mp.coordinates,
np.array([[0.0, 1.11319491e+05, 2.22638982e+05, 1.0, 2.0, 3.0],
[
3.34111171e+05, 4.45640110e+05, 5.57305257e+05,
1.0, 2.0, 3.0
]])))
def test_multipoint_datadict(self):
# create a line
vertices = [(2.0, 9.0, 9.0), (4.0, 1.0, 9.0), (4.0, 1.0, 5.0),
(2.0, 8.0, 0.0), (9.0, 8.0, 4.0), (1.0, 4.0, 6.0),
(7.0, 3.0, 4.0), (2.0, 5.0, 3.0), (1.0, 6.0, 6.0),
(8.0, 1.0, 0.0), (5.0, 5.0, 1.0), (4.0, 5.0, 7.0),
(3.0, 3.0, 5.0), (9.0, 0.0, 9.0), (6.0, 3.0, 8.0),
(4.0, 5.0, 7.0), (9.0, 9.0, 4.0), (1.0, 4.0, 7.0),
(1.0, 7.0, 8.0), (9.0, 1.0, 6.0)]
data0 = [99.0, 2.0, 60.0, 75.0, 71.0, 34.0, 1.0, 49.0, 4.0, 36.0, 47.0,
58.0, 65.0, 72.0, 4.0, 27.0, 52.0, 37.0, 95.0, 17.0]
data1 = [54.0, 40.0, 77.0, 18.0, 84.0, 91.0, 61.0, 92.0, 19.0, 42.0,
50.0, 25.0, 11.0, 80.0, 59.0, 56.0, 32.0, 8.0, 88.0, 76.0]
Multipoint(vertices, data={'d0':data0, 'd1':data1})
return
def benchmark():
θ = np.linspace(0, 2 * np.pi, 361)[:-1]
r = np.sin(θ * 20) + 1.5
x = np.cos(θ) * r
y = np.sin(θ) * r
polygon = Polygon(zip(x, y))
line = Line([(-2, -3), (0, 3)])
for seg in polygon.segments:
x = seg.intersections(line)
bbox = Polygon([(-1, -1), (-1, 1), (1, 1), (1, -1)])
points = []
for pt in polygon:
if bbox.contains(pt):
points.append(pt)
multipoint = Multipoint(points)
hull = multipoint.convex_hull()
print("bbox contains", len(multipoint), "out of", len(polygon), "vertices")
return polygon, line, bbox, multipoint, hull
def test_empty_multpoint(self):
mp = Multipoint([])
self.assertEqual(len(mp), 0)
return
def coordinates(self):
return Multipoint([c.coordinates for c in self], crs=LonLatWGS84)