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test_overlay.py
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test_overlay.py
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from __future__ import absolute_import
import os
import pandas as pd
from shapely.geometry import Point, Polygon
import geopandas
from geopandas import GeoDataFrame, GeoSeries, overlay, read_file
from geopandas.testing import assert_geodataframe_equal, assert_geoseries_equal
import pytest
DATA = os.path.join(os.path.abspath(os.path.dirname(__file__)), "data", "overlay")
@pytest.fixture
def dfs(request):
s1 = GeoSeries(
[
Polygon([(0, 0), (2, 0), (2, 2), (0, 2)]),
Polygon([(2, 2), (4, 2), (4, 4), (2, 4)]),
]
)
s2 = GeoSeries(
[
Polygon([(1, 1), (3, 1), (3, 3), (1, 3)]),
Polygon([(3, 3), (5, 3), (5, 5), (3, 5)]),
]
)
df1 = GeoDataFrame({"col1": [1, 2], "geometry": s1})
df2 = GeoDataFrame({"col2": [1, 2], "geometry": s2})
return df1, df2
@pytest.fixture(params=["default-index", "int-index", "string-index"])
def dfs_index(request, dfs):
df1, df2 = dfs
if request.param == "int-index":
df1.index = [1, 2]
df2.index = [0, 2]
if request.param == "string-index":
df1.index = ["row1", "row2"]
return df1, df2
@pytest.fixture(
params=["union", "intersection", "difference", "symmetric_difference", "identity"]
)
def how(request):
return request.param
@pytest.fixture(params=[True, False])
def use_sindex(request):
return request.param
@pytest.mark.filterwarnings("ignore:'use_sindex':DeprecationWarning")
def test_overlay(dfs_index, how, use_sindex):
"""
Basic overlay test with small dummy example dataframes (from docs).
Results obtained using QGIS 2.16 (Vector -> Geoprocessing Tools ->
Intersection / Union / ...), saved to GeoJSON
"""
df1, df2 = dfs_index
result = overlay(df1, df2, how=how, use_sindex=use_sindex)
# construction of result
def _read(name):
expected = read_file(
os.path.join(DATA, "polys", "df1_df2-{0}.geojson".format(name))
)
expected.crs = None
return expected
if how == "identity":
expected_intersection = _read("intersection")
expected_difference = _read("difference")
expected = pd.concat(
[expected_intersection, expected_difference], ignore_index=True, sort=False
)
expected["col1"] = expected["col1"].astype(float)
else:
expected = _read(how)
# TODO needed adaptations to result
if how == "union":
result = result.sort_values(["col1", "col2"]).reset_index(drop=True)
elif how == "difference":
result = result.reset_index(drop=True)
assert_geodataframe_equal(result, expected, check_column_type=False)
# for difference also reversed
if how == "difference":
result = overlay(df2, df1, how=how, use_sindex=use_sindex)
result = result.reset_index(drop=True)
expected = _read("difference-inverse")
assert_geodataframe_equal(result, expected, check_column_type=False)
def test_overlay_nybb(how):
polydf = read_file(geopandas.datasets.get_path("nybb"))
# construct circles dataframe
N = 10
b = [int(x) for x in polydf.total_bounds]
polydf2 = GeoDataFrame(
[
{"geometry": Point(x, y).buffer(10000), "value1": x + y, "value2": x - y}
for x, y in zip(
range(b[0], b[2], int((b[2] - b[0]) / N)),
range(b[1], b[3], int((b[3] - b[1]) / N)),
)
],
crs=polydf.crs,
)
result = overlay(polydf, polydf2, how=how)
cols = ["BoroCode", "BoroName", "Shape_Leng", "Shape_Area", "value1", "value2"]
if how == "difference":
cols = cols[:-2]
# expected result
if how == "identity":
# read union one, further down below we take the appropriate subset
expected = read_file(os.path.join(DATA, "nybb_qgis", "qgis-union.shp"))
else:
expected = read_file(
os.path.join(DATA, "nybb_qgis", "qgis-{0}.shp".format(how))
)
# The result of QGIS for 'union' contains incorrect geometries:
# 24 is a full original circle overlapping with unioned geometries, and
# 27 is a completely duplicated row)
if how == "union":
expected = expected.drop([24, 27])
expected.reset_index(inplace=True, drop=True)
# Eliminate observations without geometries (issue from QGIS)
expected = expected[expected.is_valid]
expected.reset_index(inplace=True, drop=True)
if how == "identity":
expected = expected[expected.BoroCode.notnull()].copy()
# Order GeoDataFrames
expected = expected.sort_values(cols).reset_index(drop=True)
# TODO needed adaptations to result
result = result.sort_values(cols).reset_index(drop=True)
if how in ("union", "identity"):
# concat < 0.23 sorts, so changes the order of the columns
# but at least we ensure 'geometry' is the last column
assert result.columns[-1] == "geometry"
assert len(result.columns) == len(expected.columns)
result = result.reindex(columns=expected.columns)
assert_geodataframe_equal(
result, expected, check_crs=False, check_column_type=False
)
def test_overlay_overlap(how):
"""
Overlay test with overlapping geometries in both dataframes.
Test files are created with::
import geopandas
from geopandas import GeoSeries, GeoDataFrame
from shapely.geometry import Point, Polygon, LineString
s1 = GeoSeries([Point(0, 0), Point(1.5, 0)]).buffer(1, resolution=2)
s2 = GeoSeries([Point(1, 1), Point(2, 2)]).buffer(1, resolution=2)
df1 = GeoDataFrame({'geometry': s1, 'col1':[1,2]})
df2 = GeoDataFrame({'geometry': s2, 'col2':[1, 2]})
ax = df1.plot(alpha=0.5)
df2.plot(alpha=0.5, ax=ax, color='C1')
df1.to_file('geopandas/geopandas/tests/data/df1_overlap.geojson',
driver='GeoJSON')
df2.to_file('geopandas/geopandas/tests/data/df2_overlap.geojson',
driver='GeoJSON')
and then overlay results are obtained from using QGIS 2.16
(Vector -> Geoprocessing Tools -> Intersection / Union / ...),
saved to GeoJSON.
"""
df1 = read_file(os.path.join(DATA, "overlap", "df1_overlap.geojson"))
df2 = read_file(os.path.join(DATA, "overlap", "df2_overlap.geojson"))
result = overlay(df1, df2, how=how)
if how == "identity":
raise pytest.skip()
expected = read_file(
os.path.join(DATA, "overlap", "df1_df2_overlap-{0}.geojson".format(how))
)
if how == "union":
# the QGIS result has the last row duplicated, so removing this
expected = expected.iloc[:-1]
# TODO needed adaptations to result
result = result.reset_index(drop=True)
if how == "union":
result = result.sort_values(["col1", "col2"]).reset_index(drop=True)
assert_geodataframe_equal(
result, expected, check_column_type=False, check_less_precise=True
)
@pytest.mark.parametrize("other_geometry", [False, True])
def test_geometry_not_named_geometry(dfs, how, other_geometry):
# Issue #306
# Add points and flip names
df1, df2 = dfs
df3 = df1.copy()
df3 = df3.rename(columns={"geometry": "polygons"})
df3 = df3.set_geometry("polygons")
if other_geometry:
df3["geometry"] = df1.centroid.geometry
assert df3.geometry.name == "polygons"
res1 = overlay(df1, df2, how=how)
res2 = overlay(df3, df2, how=how)
assert df3.geometry.name == "polygons"
if how == "difference":
# in case of 'difference', column names of left frame are preserved
assert res2.geometry.name == "polygons"
if other_geometry:
assert "geometry" in res2.columns
assert_geoseries_equal(
res2["geometry"], df3["geometry"], check_series_type=False
)
res2 = res2.drop(["geometry"], axis=1)
res2 = res2.rename(columns={"polygons": "geometry"})
res2 = res2.set_geometry("geometry")
# TODO if existing column is overwritten -> geometry not last column
if other_geometry and how == "intersection":
res2 = res2.reindex(columns=res1.columns)
assert_geodataframe_equal(res1, res2)
df4 = df2.copy()
df4 = df4.rename(columns={"geometry": "geom"})
df4 = df4.set_geometry("geom")
if other_geometry:
df4["geometry"] = df2.centroid.geometry
assert df4.geometry.name == "geom"
res1 = overlay(df1, df2, how=how)
res2 = overlay(df1, df4, how=how)
assert_geodataframe_equal(res1, res2)
def test_bad_how(dfs):
df1, df2 = dfs
with pytest.raises(ValueError):
overlay(df1, df2, how="spandex")
def test_raise_nonpoly(dfs):
polydf, _ = dfs
pointdf = polydf.copy()
pointdf["geometry"] = pointdf.geometry.centroid
with pytest.raises(TypeError):
overlay(pointdf, polydf, how="union")
def test_duplicate_column_name(dfs):
df1, df2 = dfs
df2r = df2.rename(columns={"col2": "col1"})
res = overlay(df1, df2r, how="union")
assert ("col1_1" in res.columns) and ("col1_2" in res.columns)
def test_geoseries_warning(dfs):
df1, df2 = dfs
# Issue #305
with pytest.raises(NotImplementedError):
overlay(df1, df2.geometry, how="union")
def test_preserve_crs(dfs, how):
df1, df2 = dfs
result = overlay(df1, df2, how=how)
assert result.crs is None
crs = {"init": "epsg:4326"}
df1.crs = crs
df2.crs = crs
result = overlay(df1, df2, how=how)
assert result.crs == crs
def test_empty_intersection(dfs):
df1, df2 = dfs
polys3 = GeoSeries(
[
Polygon([(-1, -1), (-3, -1), (-3, -3), (-1, -3)]),
Polygon([(-3, -3), (-5, -3), (-5, -5), (-3, -5)]),
]
)
df3 = GeoDataFrame({"geometry": polys3, "col3": [1, 2]})
expected = GeoDataFrame([], columns=["col1", "col3", "geometry"])
result = overlay(df1, df3)
assert_geodataframe_equal(result, expected, check_like=True)
def test_correct_index(dfs):
# GH883 - case where the index was not properly reset
df1, df2 = dfs
polys3 = GeoSeries(
[
Polygon([(1, 1), (3, 1), (3, 3), (1, 3)]),
Polygon([(-1, 1), (1, 1), (1, 3), (-1, 3)]),
Polygon([(3, 3), (5, 3), (5, 5), (3, 5)]),
]
)
df3 = GeoDataFrame({"geometry": polys3, "col3": [1, 2, 3]})
i1 = Polygon([(1, 1), (1, 3), (3, 3), (3, 1), (1, 1)])
i2 = Polygon([(3, 3), (3, 5), (5, 5), (5, 3), (3, 3)])
expected = GeoDataFrame(
[[1, 1, i1], [3, 2, i2]], columns=["col3", "col2", "geometry"]
)
result = overlay(df3, df2)
assert_geodataframe_equal(result, expected)