本文整理汇总了Python中geopandas.GeoSeries.sort_index方法的典型用法代码示例。如果您正苦于以下问题：Python GeoSeries.sort_index方法的具体用法？Python GeoSeries.sort_index怎么用？Python GeoSeries.sort_index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.sort_index方法的3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: TestSeries
# 需要导入模块: from geopandas import GeoSeries [as 别名]
# 或者: from geopandas.GeoSeries import sort_index [as 别名]
class TestSeries(unittest.TestCase):
def setUp(self):
N = self.N = 10
r = 0.5
self.pts = GeoSeries([Point(x, y) for x, y in zip(range(N), range(N))])
self.polys = self.pts.buffer(r)
def test_slice(self):
assert type(self.pts[:2]) is GeoSeries
assert type(self.pts[::2]) is GeoSeries
assert type(self.polys[:2]) is GeoSeries
@unittest.skip("not yet implemented")
def test_head(self):
assert type(self.pts.head()) is GeoSeries
@unittest.skip("not yet implemented")
def test_tail(self):
assert type(self.pts.tail()) is GeoSeries
def test_sort_index(self):
assert type(self.pts.sort_index()) is GeoSeries
def test_sort_order(self):
assert type(self.pts.order()) is GeoSeries
@unittest.skip("not yet implemented")
def test_loc(self):
assert type(self.pts.loc[5:]) is GeoSeries
@unittest.skip("not yet implemented")
def test_iloc(self):
assert type(self.pts.iloc[5:]) is GeoSeries
def test_fancy(self):
idx = (self.pts.index % 2).astype(bool)
assert type(self.pts[idx]) is GeoSeries
def test_take(self):
assert type(self.pts.take(range(0, self.N, 2))) is GeoSeries
def test_select(self):
assert type(self.pts.select(lambda x: x % 2 == 0)) is GeoSeries
@unittest.skip("not yet implemented")
def test_groupby(self):
for f, s in self.pts.groupby(lambda x: x % 2):
assert type(s) is GeoSeries示例2: setup_method
# 需要导入模块: from geopandas import GeoSeries [as 别名]
# 或者: from geopandas.GeoSeries import sort_index [as 别名]
class TestSeries:
def setup_method(self):
N = self.N = 10
r = 0.5
self.pts = GeoSeries([Point(x, y) for x, y in zip(range(N), range(N))])
self.polys = self.pts.buffer(r)
def test_slice(self):
assert type(self.pts[:2]) is GeoSeries
assert type(self.pts[::2]) is GeoSeries
assert type(self.polys[:2]) is GeoSeries
def test_head(self):
assert type(self.pts.head()) is GeoSeries
def test_tail(self):
assert type(self.pts.tail()) is GeoSeries
def test_sort_index(self):
assert type(self.pts.sort_index()) is GeoSeries
def test_loc(self):
assert type(self.pts.loc[5:]) is GeoSeries
def test_iloc(self):
assert type(self.pts.iloc[5:]) is GeoSeries
def test_fancy(self):
idx = (self.pts.index.to_series() % 2).astype(bool)
assert type(self.pts[idx]) is GeoSeries
def test_take(self):
assert type(self.pts.take(list(range(0, self.N, 2)))) is GeoSeries
def test_select(self):
with warnings.catch_warnings(record=True) as _:
# depending on pandas version this raises FutureWarning ->
# suppress it
assert type(self.pts.select(lambda x: x % 2 == 0)) is GeoSeries
def test_groupby(self):
for f, s in self.pts.groupby(lambda x: x % 2):
assert type(s) is GeoSeries示例3: TestSeries
# 需要导入模块: from geopandas import GeoSeries [as 别名]
# 或者: from geopandas.GeoSeries import sort_index [as 别名]
class TestSeries(unittest.TestCase):
def setUp(self):
N = self.N = 10
r = 0.5
self.pts = GeoSeries([Point(x, y) for x, y in zip(range(N), range(N))])
self.polys = self.pts.buffer(r)
def test_slice(self):
assert type(self.pts[:2]) is GeoSeries
assert type(self.pts[::2]) is GeoSeries
assert type(self.polys[:2]) is GeoSeries
def test_head(self):
assert type(self.pts.head()) is GeoSeries
def test_tail(self):
assert type(self.pts.tail()) is GeoSeries
def test_sort_index(self):
assert type(self.pts.sort_index()) is GeoSeries
def test_loc(self):
assert type(self.pts.loc[5:]) is GeoSeries
def test_iloc(self):
assert type(self.pts.iloc[5:]) is GeoSeries
def test_fancy(self):
idx = (self.pts.index.to_series() % 2).astype(bool)
assert type(self.pts[idx]) is GeoSeries
def test_take(self):
assert type(self.pts.take(list(range(0, self.N, 2)))) is GeoSeries
def test_select(self):
assert type(self.pts.select(lambda x: x % 2 == 0)) is GeoSeries
@unittest.skipIf(OLD_PANDAS, 'Groupby not supported on pandas <= 0.12')
def test_groupby(self):
for f, s in self.pts.groupby(lambda x: x % 2):
assert type(s) is GeoSeries