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test_geom_methods.py
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test_geom_methods.py
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from __future__ import absolute_import
import string
import numpy as np
from numpy.testing import assert_array_equal
from pandas import DataFrame, MultiIndex, Series
from shapely.geometry import LinearRing, LineString, MultiPoint, Point, Polygon
from shapely.geometry.collection import GeometryCollection
from shapely.ops import unary_union
from geopandas import GeoDataFrame, GeoSeries
from geopandas.base import GeoPandasBase
from geopandas.tests.util import assert_geoseries_equal, geom_almost_equals, geom_equals
from pandas.util.testing import assert_frame_equal, assert_series_equal
import pytest
def assert_array_dtype_equal(a, b, *args, **kwargs):
a = np.asanyarray(a)
b = np.asanyarray(b)
assert a.dtype == b.dtype
assert_array_equal(a, b, *args, **kwargs)
class TestGeomMethods:
def setup_method(self):
self.t1 = Polygon([(0, 0), (1, 0), (1, 1)])
self.t2 = Polygon([(0, 0), (1, 1), (0, 1)])
self.t3 = Polygon([(2, 0), (3, 0), (3, 1)])
self.sq = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)])
self.inner_sq = Polygon(
[(0.25, 0.25), (0.75, 0.25), (0.75, 0.75), (0.25, 0.75)]
)
self.nested_squares = Polygon(self.sq.boundary, [self.inner_sq.boundary])
self.p0 = Point(5, 5)
self.p3d = Point(5, 5, 5)
self.g0 = GeoSeries(
[
self.t1,
self.t2,
self.sq,
self.inner_sq,
self.nested_squares,
self.p0,
None,
]
)
self.g1 = GeoSeries([self.t1, self.sq])
self.g2 = GeoSeries([self.sq, self.t1])
self.g3 = GeoSeries([self.t1, self.t2])
self.g3.crs = {"init": "epsg:4326", "no_defs": True}
self.g4 = GeoSeries([self.t2, self.t1])
self.g4.crs = {"init": "epsg:4326", "no_defs": True}
self.g_3d = GeoSeries([self.p0, self.p3d])
self.na = GeoSeries([self.t1, self.t2, Polygon()])
self.na_none = GeoSeries([self.t1, None])
self.a1 = self.g1.copy()
self.a1.index = ["A", "B"]
self.a2 = self.g2.copy()
self.a2.index = ["B", "C"]
self.esb = Point(-73.9847, 40.7484)
self.sol = Point(-74.0446, 40.6893)
self.landmarks = GeoSeries(
[self.esb, self.sol], crs={"init": "epsg:4326", "no_defs": True}
)
self.l1 = LineString([(0, 0), (0, 1), (1, 1)])
self.l2 = LineString([(0, 0), (1, 0), (1, 1), (0, 1)])
self.g5 = GeoSeries([self.l1, self.l2])
self.g6 = GeoSeries([self.p0, self.t3])
self.empty = GeoSeries([])
self.all_none = GeoSeries([None, None])
self.empty_poly = Polygon()
# Crossed lines
self.l3 = LineString([(0, 0), (1, 1)])
self.l4 = LineString([(0, 1), (1, 0)])
self.crossed_lines = GeoSeries([self.l3, self.l4])
# Placeholder for testing, will just drop in different geometries
# when needed
self.gdf1 = GeoDataFrame(
{"geometry": self.g1, "col0": [1.0, 2.0], "col1": ["geo", "pandas"]}
)
self.gdf2 = GeoDataFrame(
{"geometry": self.g1, "col3": [4, 5], "col4": ["rand", "string"]}
)
def _test_unary_real(self, op, expected, a):
""" Tests for 'area', 'length', 'is_valid', etc. """
fcmp = assert_series_equal
self._test_unary(op, expected, a, fcmp)
def _test_unary_topological(self, op, expected, a):
if isinstance(expected, GeoPandasBase):
fcmp = assert_geoseries_equal
else:
def fcmp(a, b):
assert a.equals(b)
self._test_unary(op, expected, a, fcmp)
def _test_binary_topological(self, op, expected, a, b, *args, **kwargs):
""" Tests for 'intersection', 'union', 'symmetric_difference', etc. """
if isinstance(expected, GeoPandasBase):
fcmp = assert_geoseries_equal
else:
def fcmp(a, b):
assert geom_equals(a, b)
if isinstance(b, GeoPandasBase):
right_df = True
else:
right_df = False
self._binary_op_test(op, expected, a, b, fcmp, True, right_df, *args, **kwargs)
def _test_binary_real(self, op, expected, a, b, *args, **kwargs):
fcmp = assert_series_equal
self._binary_op_test(op, expected, a, b, fcmp, True, False, *args, **kwargs)
def _test_binary_operator(self, op, expected, a, b):
"""
The operators only have GeoSeries on the left, but can have
GeoSeries or GeoDataFrame on the right.
"""
if isinstance(expected, GeoPandasBase):
fcmp = assert_geoseries_equal
else:
def fcmp(a, b):
assert geom_equals(a, b)
if isinstance(b, GeoPandasBase):
right_df = True
else:
right_df = False
self._binary_op_test(op, expected, a, b, fcmp, False, right_df)
def _binary_op_test(
self, op, expected, left, right, fcmp, left_df, right_df, *args, **kwargs
):
"""
This is a helper to call a function on GeoSeries and GeoDataFrame
arguments. For example, 'intersection' is a member of both GeoSeries
and GeoDataFrame and can take either GeoSeries or GeoDataFrame inputs.
This function has the ability to test all four combinations of input
types.
Parameters
----------
expected : str
The operation to be tested. e.g., 'intersection'
left: GeoSeries
right: GeoSeries
fcmp: function
Called with the result of the operation and expected. It should
assert if the result is incorrect
left_df: bool
If the left input should also be called with a GeoDataFrame
right_df: bool
Indicates whether the right input should be called with a
GeoDataFrame
"""
def _make_gdf(s):
n = len(s)
col1 = string.ascii_lowercase[:n]
col2 = range(n)
return GeoDataFrame(
{"geometry": s.values, "col1": col1, "col2": col2},
index=s.index,
crs=s.crs,
)
# Test GeoSeries.op(GeoSeries)
result = getattr(left, op)(right, *args, **kwargs)
fcmp(result, expected)
if left_df:
# Test GeoDataFrame.op(GeoSeries)
gdf_left = _make_gdf(left)
result = getattr(gdf_left, op)(right, *args, **kwargs)
fcmp(result, expected)
if right_df:
# Test GeoSeries.op(GeoDataFrame)
gdf_right = _make_gdf(right)
result = getattr(left, op)(gdf_right, *args, **kwargs)
fcmp(result, expected)
if left_df:
# Test GeoDataFrame.op(GeoDataFrame)
result = getattr(gdf_left, op)(gdf_right, *args, **kwargs)
fcmp(result, expected)
def _test_unary(self, op, expected, a, fcmp):
# GeoSeries, (GeoSeries or geometry)
result = getattr(a, op)
fcmp(result, expected)
# GeoDataFrame, (GeoSeries or geometry)
gdf = self.gdf1.set_geometry(a)
result = getattr(gdf, op)
fcmp(result, expected)
# TODO reenable for all operations once we use pyproj > 2
# def test_crs_warning(self):
# # operations on geometries should warn for different CRS
# no_crs_g3 = self.g3.copy()
# no_crs_g3.crs = None
# with pytest.warns(UserWarning):
# self._test_binary_topological('intersection', self.g3,
# self.g3, no_crs_g3)
def test_intersection(self):
self._test_binary_topological("intersection", self.t1, self.g1, self.g2)
self._test_binary_topological(
"intersection", self.all_none, self.g1, self.empty
)
def test_union_series(self):
self._test_binary_topological("union", self.sq, self.g1, self.g2)
def test_union_polygon(self):
self._test_binary_topological("union", self.sq, self.g1, self.t2)
def test_symmetric_difference_series(self):
self._test_binary_topological("symmetric_difference", self.sq, self.g3, self.g4)
def test_symmetric_difference_poly(self):
expected = GeoSeries([GeometryCollection(), self.sq], crs=self.g3.crs)
self._test_binary_topological(
"symmetric_difference", expected, self.g3, self.t1
)
def test_difference_series(self):
expected = GeoSeries([GeometryCollection(), self.t2])
self._test_binary_topological("difference", expected, self.g1, self.g2)
def test_difference_poly(self):
expected = GeoSeries([self.t1, self.t1])
self._test_binary_topological("difference", expected, self.g1, self.t2)
def test_geo_op_empty_result(self):
l1 = LineString([(0, 0), (1, 1)])
l2 = LineString([(2, 2), (3, 3)])
expected = GeoSeries([GeometryCollection()])
# binary geo resulting in empty geometry
result = GeoSeries([l1]).intersection(l2)
assert_geoseries_equal(result, expected)
# binary geo empty result with right GeoSeries
result = GeoSeries([l1]).intersection(GeoSeries([l2]))
assert_geoseries_equal(result, expected)
# unary geo resulting in emtpy geometry
result = GeoSeries([GeometryCollection()]).convex_hull
assert_geoseries_equal(result, expected)
def test_boundary(self):
l1 = LineString([(0, 0), (1, 0), (1, 1), (0, 0)])
l2 = LineString([(0, 0), (1, 0), (1, 1), (0, 1), (0, 0)])
expected = GeoSeries([l1, l2], index=self.g1.index, crs=self.g1.crs)
self._test_unary_topological("boundary", expected, self.g1)
def test_area(self):
expected = Series(np.array([0.5, 1.0]), index=self.g1.index)
self._test_unary_real("area", expected, self.g1)
expected = Series(np.array([0.5, np.nan]), index=self.na_none.index)
self._test_unary_real("area", expected, self.na_none)
def test_bounds(self):
# Set columns to get the order right
expected = DataFrame(
{
"minx": [0.0, 0.0],
"miny": [0.0, 0.0],
"maxx": [1.0, 1.0],
"maxy": [1.0, 1.0],
},
index=self.g1.index,
columns=["minx", "miny", "maxx", "maxy"],
)
result = self.g1.bounds
assert_frame_equal(expected, result)
gdf = self.gdf1.set_geometry(self.g1)
result = gdf.bounds
assert_frame_equal(expected, result)
def test_bounds_empty(self):
# test bounds of empty GeoSeries
# https://github.com/geopandas/geopandas/issues/1195
s = GeoSeries([])
result = s.bounds
expected = DataFrame(
columns=["minx", "miny", "maxx", "maxy"], index=s.index, dtype="float64"
)
assert_frame_equal(result, expected)
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, 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, 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, False]
assert_array_dtype_equal(expected, self.g0.disjoint(self.t1))
def test_relate(self):
expected = Series(
[
"212101212",
"212101212",
"212FF1FF2",
"2FFF1FFF2",
"FF2F112F2",
"FF0FFF212",
None,
],
index=self.g0.index,
)
assert_array_dtype_equal(expected, self.g0.relate(self.inner_sq))
expected = Series(["FF0FFF212", None], index=self.g6.index)
assert_array_dtype_equal(expected, self.g6.relate(self.na_none))
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, 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] * 7
assert_array_dtype_equal(expected, self.g0.intersects(self.empty_poly))
def test_overlaps(self):
expected = [True, True, False, 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))
def test_touches(self):
expected = [False, True, False, False, False, False, False]
assert_array_dtype_equal(expected, self.g0.touches(self.t1))
def test_within(self):
expected = [True, False, False, False, False, False, False]
assert_array_dtype_equal(expected, self.g0.within(self.t1))
expected = [True, True, True, True, True, False, False]
assert_array_dtype_equal(expected, self.g0.within(self.sq))
def test_is_valid(self):
expected = Series(np.array([True] * len(self.g1)), self.g1.index)
self._test_unary_real("is_valid", expected, self.g1)
def test_is_empty(self):
expected = Series(np.array([False] * len(self.g1)), self.g1.index)
self._test_unary_real("is_empty", expected, self.g1)
def test_is_ring(self):
expected = Series(np.array([True] * len(self.g1)), self.g1.index)
self._test_unary_real("is_ring", expected, self.g1)
def test_is_simple(self):
expected = Series(np.array([True] * len(self.g1)), self.g1.index)
self._test_unary_real("is_simple", expected, self.g1)
def test_has_z(self):
expected = Series([False, True], self.g_3d.index)
self._test_unary_real("has_z", expected, self.g_3d)
def test_xy_points(self):
expected_x = [-73.9847, -74.0446]
expected_y = [40.7484, 40.6893]
assert_array_dtype_equal(expected_x, self.landmarks.geometry.x)
assert_array_dtype_equal(expected_y, self.landmarks.geometry.y)
def test_xy_polygons(self):
# accessing x attribute in polygon geoseries should raise an error
with pytest.raises(ValueError):
_ = self.gdf1.geometry.x
# and same for accessing y attribute in polygon geoseries
with pytest.raises(ValueError):
_ = self.gdf1.geometry.y
def test_centroid(self):
polygon = Polygon([(-1, -1), (1, -1), (1, 1), (-1, 1)])
point = Point(0, 0)
polygons = GeoSeries([polygon for i in range(3)])
points = GeoSeries([point for i in range(3)])
assert_geoseries_equal(polygons.centroid, points)
def test_convex_hull(self):
# the convex hull of a square should be the same as the square
squares = GeoSeries([self.sq for i in range(3)])
assert_geoseries_equal(squares, squares.convex_hull)
def test_exterior(self):
exp_exterior = GeoSeries([LinearRing(p.boundary) for p in self.g3])
for expected, computed in zip(exp_exterior, self.g3.exterior):
assert computed.equals(expected)
def test_interiors(self):
original = GeoSeries([self.t1, self.nested_squares])
# This is a polygon with no interior.
expected = []
assert original.interiors[0] == expected
# This is a polygon with an interior.
expected = LinearRing(self.inner_sq.boundary)
assert original.interiors[1][0].equals(expected)
def test_interpolate(self):
expected = GeoSeries([Point(0.5, 1.0), Point(0.75, 1.0)])
self._test_binary_topological(
"interpolate", expected, self.g5, 0.75, normalized=True
)
expected = GeoSeries([Point(0.5, 1.0), Point(1.0, 0.5)])
self._test_binary_topological("interpolate", expected, self.g5, 1.5)
def test_interpolate_distance_array(self):
expected = GeoSeries([Point(0.0, 0.75), Point(1.0, 0.5)])
self._test_binary_topological(
"interpolate", expected, self.g5, np.array([0.75, 1.5])
)
expected = GeoSeries([Point(0.5, 1.0), Point(0.0, 1.0)])
self._test_binary_topological(
"interpolate", expected, self.g5, np.array([0.75, 1.5]), normalized=True
)
def test_interpolate_distance_wrong_length(self):
distances = np.array([1, 2, 3])
with pytest.raises(ValueError):
self.g5.interpolate(distances)
def test_interpolate_distance_wrong_index(self):
distances = Series([1, 2], index=[99, 98])
with pytest.raises(ValueError):
self.g5.interpolate(distances)
def test_project(self):
expected = Series([2.0, 1.5], index=self.g5.index)
p = Point(1.0, 0.5)
self._test_binary_real("project", expected, self.g5, p)
expected = Series([1.0, 0.5], index=self.g5.index)
self._test_binary_real("project", expected, self.g5, p, normalized=True)
def test_affine_transform(self):
# 45 degree reflection matrix
matrix = [0, 1, 1, 0, 0, 0]
expected = self.g4
res = self.g3.affine_transform(matrix)
assert_geoseries_equal(expected, res)
def test_translate_tuple(self):
trans = self.sol.x - self.esb.x, self.sol.y - self.esb.y
assert self.landmarks.translate(*trans)[0].equals(self.sol)
res = self.gdf1.set_geometry(self.landmarks).translate(*trans)[0]
assert res.equals(self.sol)
def test_rotate(self):
angle = 98
expected = self.g4
o = Point(0, 0)
res = self.g4.rotate(angle, origin=o).rotate(-angle, origin=o)
assert geom_almost_equals(self.g4, res)
res = self.gdf1.set_geometry(self.g4).rotate(angle, origin=Point(0, 0))
assert geom_almost_equals(expected, res.rotate(-angle, origin=o))
def test_scale(self):
expected = self.g4
scale = 2.0, 1.0
inv = tuple(1.0 / i for i in scale)
o = Point(0, 0)
res = self.g4.scale(*scale, origin=o).scale(*inv, origin=o)
assert geom_almost_equals(expected, res)
res = self.gdf1.set_geometry(self.g4).scale(*scale, origin=o)
res = res.scale(*inv, origin=o)
assert geom_almost_equals(expected, res)
def test_skew(self):
expected = self.g4
skew = 45.0
o = Point(0, 0)
# Test xs
res = self.g4.skew(xs=skew, origin=o).skew(xs=-skew, origin=o)
assert geom_almost_equals(expected, res)
res = self.gdf1.set_geometry(self.g4).skew(xs=skew, origin=o)
res = res.skew(xs=-skew, origin=o)
assert geom_almost_equals(expected, res)
# Test ys
res = self.g4.skew(ys=skew, origin=o).skew(ys=-skew, origin=o)
assert geom_almost_equals(expected, res)
res = self.gdf1.set_geometry(self.g4).skew(ys=skew, origin=o)
res = res.skew(ys=-skew, origin=o)
assert geom_almost_equals(expected, res)
def test_buffer(self):
original = GeoSeries([Point(0, 0)])
expected = GeoSeries([Polygon(((5, 0), (0, -5), (-5, 0), (0, 5), (5, 0)))])
calculated = original.buffer(5, resolution=1)
assert geom_almost_equals(expected, calculated)
def test_buffer_args(self):
args = dict(cap_style=3, join_style=2, mitre_limit=2.5)
calculated_series = self.g0.buffer(10, **args)
for original, calculated in zip(self.g0, calculated_series):
if original is None:
assert calculated is None
else:
expected = original.buffer(10, **args)
assert calculated.equals(expected)
def test_buffer_distance_array(self):
original = GeoSeries([self.p0, self.p0])
expected = GeoSeries(
[
Polygon(((6, 5), (5, 4), (4, 5), (5, 6), (6, 5))),
Polygon(((10, 5), (5, 0), (0, 5), (5, 10), (10, 5))),
]
)
calculated = original.buffer(np.array([1, 5]), resolution=1)
assert_geoseries_equal(calculated, expected, check_less_precise=True)
def test_buffer_distance_wrong_length(self):
original = GeoSeries([self.p0, self.p0])
distances = np.array([1, 2, 3])
with pytest.raises(ValueError):
original.buffer(distances)
def test_buffer_distance_wrong_index(self):
original = GeoSeries([self.p0, self.p0], index=[0, 1])
distances = Series(data=[1, 2], index=[99, 98])
with pytest.raises(ValueError):
original.buffer(distances)
def test_buffer_empty_none(self):
p = Polygon([(0, 0), (0, 1), (1, 1), (1, 0)])
s = GeoSeries([p, GeometryCollection(), None])
result = s.buffer(0)
assert_geoseries_equal(result, s)
result = s.buffer(np.array([0, 0, 0]))
assert_geoseries_equal(result, s)
def test_envelope(self):
e = self.g3.envelope
assert np.all(e.geom_equals(self.sq))
assert isinstance(e, GeoSeries)
assert self.g3.crs == e.crs
def test_total_bounds(self):
bbox = self.sol.x, self.sol.y, self.esb.x, self.esb.y
assert isinstance(self.landmarks.total_bounds, np.ndarray)
assert tuple(self.landmarks.total_bounds) == bbox
df = GeoDataFrame(
{"geometry": self.landmarks, "col1": range(len(self.landmarks))}
)
assert tuple(df.total_bounds) == bbox
def test_explode_geoseries(self):
s = GeoSeries(
[MultiPoint([(0, 0), (1, 1)]), MultiPoint([(2, 2), (3, 3), (4, 4)])]
)
s.index.name = "test_index_name"
expected_index_name = ["test_index_name", None]
index = [(0, 0), (0, 1), (1, 0), (1, 1), (1, 2)]
expected = GeoSeries(
[Point(0, 0), Point(1, 1), Point(2, 2), Point(3, 3), Point(4, 4)],
index=MultiIndex.from_tuples(index, names=expected_index_name),
)
assert_geoseries_equal(expected, s.explode())
@pytest.mark.parametrize("index_name", [None, "test"])
def test_explode_geodataframe(self, index_name):
s = GeoSeries([MultiPoint([Point(1, 2), Point(2, 3)]), Point(5, 5)])
df = GeoDataFrame({"col": [1, 2], "geometry": s})
df.index.name = index_name
test_df = df.explode()
expected_s = GeoSeries([Point(1, 2), Point(2, 3), Point(5, 5)])
expected_df = GeoDataFrame({"col": [1, 1, 2], "geometry": expected_s})
expected_index = MultiIndex(
[[0, 1], [0, 1]], # levels
[[0, 0, 1], [0, 1, 0]], # labels/codes
names=[index_name, None],
)
expected_df = expected_df.set_index(expected_index)
assert_frame_equal(test_df, expected_df)
#
# Test '&', '|', '^', and '-'
# The left can only be a GeoSeries. The right hand side can be a
# GeoSeries, GeoDataFrame or Shapely geometry
#
def test_intersection_operator(self):
self._test_binary_operator("__and__", self.t1, self.g1, self.g2)
def test_union_operator(self):
self._test_binary_operator("__or__", self.sq, self.g1, self.g2)
def test_union_operator_polygon(self):
self._test_binary_operator("__or__", self.sq, self.g1, self.t2)
def test_symmetric_difference_operator(self):
self._test_binary_operator("__xor__", self.sq, self.g3, self.g4)
def test_difference_series2(self):
expected = GeoSeries([GeometryCollection(), self.t2])
self._test_binary_operator("__sub__", expected, self.g1, self.g2)
def test_difference_poly2(self):
expected = GeoSeries([self.t1, self.t1])
self._test_binary_operator("__sub__", expected, self.g1, self.t2)