class TestNoSindex:
@pytest.mark.skipif(sindex.has_sindex(),
reason="Spatial index present, skipping")
def test_no_sindex_installed(self):
"""Checks that an error is raised when no spatial index is present."""
with pytest.raises(ImportError):
sindex.get_sindex_class()
@pytest.mark.skipif(
compat.HAS_RTREE or not compat.HAS_PYGEOS,
reason="rtree cannot be disabled via flags",
)
def test_no_sindex_active(self):
"""Checks that an error is given when rtree is not installed
and compat.USE_PYGEOS is False.
"""
state = compat.USE_PYGEOS # try to save state
compat.set_use_pygeos(False)
with pytest.raises(ImportError):
sindex.get_sindex_class()
compat.set_use_pygeos(state) # try to restore state
import sys
from shapely.geometry import Point, Polygon, box
from numpy.testing import assert_array_equal
import geopandas
from geopandas import _compat as compat
from geopandas import GeoDataFrame, GeoSeries, read_file, sindex
import pytest
@pytest.mark.skipif(sindex.has_sindex(),
reason="Spatial index present, skipping")
class TestNoSindex:
def test_no_sindex(self):
"""Checks that a warning is given when no spatial index is present."""
with pytest.warns():
sindex.get_sindex_class()
@pytest.mark.skipif(sys.platform.startswith("win"), reason="fails on AppVeyor")
@pytest.mark.skipif(not sindex.has_sindex(),
reason="Spatial index absent, skipping")
class TestSeriesSindex:
def test_empty_geoseries(self):
assert GeoSeries().sindex is None
def test_point(self):
s = GeoSeries([Point(0, 0)])
from distutils.version import LooseVersion
import numpy as np
import pandas as pd
from shapely.geometry import Point, Polygon, GeometryCollection
import geopandas
from geopandas import GeoDataFrame, GeoSeries, read_file, sindex, sjoin
from pandas.testing import assert_frame_equal
import pytest
pytestmark = pytest.mark.skipif(not sindex.has_sindex(),
reason="sjoin requires spatial index")
@pytest.fixture()
def dfs(request):
polys1 = GeoSeries([
Polygon([(0, 0), (5, 0), (5, 5), (0, 5)]),
Polygon([(5, 5), (6, 5), (6, 6), (5, 6)]),
Polygon([(6, 0), (9, 0), (9, 3), (6, 3)]),
])
polys2 = GeoSeries([
Polygon([(1, 1), (4, 1), (4, 4), (1, 4)]),
Polygon([(4, 4), (7, 4), (7, 7), (4, 7)]),
Polygon([(7, 7), (10, 7), (10, 10), (7, 10)]),
])
from distutils.version import LooseVersion
import numpy as np
import pandas as pd
from shapely.geometry import Point, Polygon, GeometryCollection
import geopandas
from geopandas import GeoDataFrame, GeoSeries, read_file, sindex, sjoin
from pandas.testing import assert_frame_equal
import pytest
pytestmark = pytest.mark.skipif(
not sindex.has_sindex(), reason="sjoin requires spatial index"
)
@pytest.fixture()
def dfs(request):
polys1 = GeoSeries(
[
Polygon([(0, 0), (5, 0), (5, 5), (0, 5)]),
Polygon([(5, 5), (6, 5), (6, 6), (5, 6)]),
Polygon([(6, 0), (9, 0), (9, 3), (6, 3)]),
]
)
polys2 = GeoSeries(
[
