本文整理汇总了Python中geopandas.GeoSeries.distance方法的典型用法代码示例。如果您正苦于以下问题：Python GeoSeries.distance方法的具体用法？Python GeoSeries.distance怎么用？Python GeoSeries.distance使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类geopandas.GeoSeries的用法示例。
在下文中一共展示了GeoSeries.distance方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: setup_method
# 需要导入模块: from geopandas import GeoSeries [as 别名]
# 或者: from geopandas.GeoSeries import distance [as 别名]
#.........这里部分代码省略.........
def test_unary_union(self):
p1 = self.t1
p2 = Polygon([(2, 0), (3, 0), (3, 1)])
expected = unary_union([p1, p2])
g = GeoSeries([p1, p2])
self._test_unary_topological('unary_union', expected, g)
def test_contains(self):
expected = [True, False, True, False, False, False]
assert_array_dtype_equal(expected, self.g0.contains(self.t1))
def test_length(self):
expected = Series(np.array([2 + np.sqrt(2), 4]), index=self.g1.index)
self._test_unary_real('length', expected, self.g1)
expected = Series(
np.array([2 + np.sqrt(2), np.nan]),
index=self.na_none.index)
self._test_unary_real('length', expected, self.na_none)
def test_crosses(self):
expected = [False, False, False, False, False, False]
assert_array_dtype_equal(expected, self.g0.crosses(self.t1))
expected = [False, True]
assert_array_dtype_equal(expected, self.crossed_lines.crosses(self.l3))
def test_disjoint(self):
expected = [False, False, False, False, False, True]
assert_array_dtype_equal(expected, self.g0.disjoint(self.t1))
def test_distance(self):
expected = Series(np.array([np.sqrt((5 - 1)**2 + (5 - 1)**2), np.nan]),
self.na_none.index)
assert_array_dtype_equal(expected, self.na_none.distance(self.p0))
expected = Series(np.array([np.sqrt(4**2 + 4**2), np.nan]),
self.g6.index)
assert_array_dtype_equal(expected, self.g6.distance(self.na_none))
def test_intersects(self):
expected = [True, True, True, True, True, False]
assert_array_dtype_equal(expected, self.g0.intersects(self.t1))
expected = [True, False]
assert_array_dtype_equal(expected, self.na_none.intersects(self.t2))
expected = np.array([], dtype=bool)
assert_array_dtype_equal(expected, self.empty.intersects(self.t1))
expected = np.array([], dtype=bool)
assert_array_dtype_equal(
expected, self.empty.intersects(self.empty_poly))
expected = [False] * 6
assert_array_dtype_equal(expected, self.g0.intersects(self.empty_poly))
def test_overlaps(self):
expected = [True, True, False, False, False, False]
assert_array_dtype_equal(expected, self.g0.overlaps(self.inner_sq))
expected = [False, False]
assert_array_dtype_equal(expected, self.g4.overlaps(self.t1))