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269 lines
10 KiB
Python
269 lines
10 KiB
Python
import unittest
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import json
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import os
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import tempfile
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import shutil
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import numpy as np
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from shapely.geometry import Point, Polygon
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from geopandas import GeoDataFrame, read_file, GeoSeries
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import tests.util as tu
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class TestDataFrame(unittest.TestCase):
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def setUp(self):
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N = 10
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nybb_filename = tu.download_nybb()
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self.df = read_file('/nybb_13a/nybb.shp', vfs='zip://' + nybb_filename)
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self.tempdir = tempfile.mkdtemp()
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self.boros = np.array(['Staten Island', 'Queens', 'Brooklyn',
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'Manhattan', 'Bronx'])
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self.crs = {'init': 'epsg:4326'}
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self.df2 = GeoDataFrame([
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{'geometry' : Point(x, y), 'value1': x + y, 'value2': x * y}
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for x, y in zip(range(N), range(N))], crs=self.crs)
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def tearDown(self):
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shutil.rmtree(self.tempdir)
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def test_df_init(self):
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self.assertTrue(type(self.df2) is GeoDataFrame)
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self.assertTrue(self.df2.crs == self.crs)
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def test_different_geo_colname(self):
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data = {"A": range(5), "B": range(-5, 0),
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"location": [Point(x, y) for x, y in zip(range(5), range(5))]}
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df = GeoDataFrame(data, crs=self.crs, geometry='location')
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locs = GeoSeries(data['location'])
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tu.assert_geoseries_equal(df.geometry, locs)
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self.assert_('geometry' not in df)
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self.assertEqual(df.geometry.name, 'location')
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# internal implementation detail
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self.assertEqual(df._geometry_column_name, 'location')
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geom2 = [Point(x, y) for x, y in zip(range(5, 10), range(5))]
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df2 = df.set_geometry(geom2)
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self.assert_('geometry' in df)
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self.assert_('location' in df)
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tu.assert_geoseries_equal(df2.geometry, GeoSeries(geom2))
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tu.assert_geoseries_equal(df2['location'], df['location'])
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def test_geometry_property(self):
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tu.assert_geoseries_equal(self.df.geometry, self.df['geometry'],
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check_dtype=True, check_index_type=True)
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df = self.df.copy()
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new_geom = [Point(x,y) for x, y in zip(range(len(self.df)),
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range(len(self.df)))]
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df.geometry = new_geom
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new_geom = GeoSeries(new_geom, index=df.index)
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tu.assert_geoseries_equal(df.geometry, new_geom)
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tu.assert_geoseries_equal(df['geometry'], new_geom)
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def test_geometry_property_errors(self):
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# TODO: Much cleaner if we use pandas test options (since assertRaises
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# contextmanager and friends not available in 2.6), but need 0.13 for
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# that.
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def _should_raise_att_error():
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df = self.df.copy()
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del df['geometry']
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df.geometry
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self.assertRaises(AttributeError, _should_raise_att_error)
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# list-like error
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def _should_raise_value_error_on_set_with_col():
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df = self.df2.copy()
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df.geometry = 'value1'
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self.assertRaises(ValueError, _should_raise_value_error_on_set_with_col)
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# list-like error
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def _should_raise_value_error_with_string():
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df = self.df.copy()
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df.geometry = 'apple'
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self.assertRaises(ValueError, _should_raise_value_error_with_string)
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def _should_raise_key_error():
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df = self.df.copy()
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del df['geometry']
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df['geometry']
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self.assertRaises(KeyError, _should_raise_key_error)
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# ndim error
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def _setting_with_df_should_raise_value_error():
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df = self.df.copy()
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df.geometry = df
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self.assertRaises(ValueError,
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_setting_with_df_should_raise_value_error)
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def test_set_geometry(self):
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geom = GeoSeries([Point(x,y) for x,y in zip(range(5), range(5))])
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original_geom = self.df.geometry
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df2 = self.df.set_geometry(geom)
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self.assert_(self.df is not df2)
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tu.assert_geoseries_equal(df2.geometry, geom)
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tu.assert_geoseries_equal(self.df.geometry, original_geom)
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tu.assert_geoseries_equal(self.df['geometry'], self.df.geometry)
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# unknown column
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self.assertRaises(ValueError, self.df.set_geometry,
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'nonexistent-column')
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# ndim error
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self.assertRaises(ValueError, self.df.set_geometry,
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self.df)
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def test_set_geometry_col(self):
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g = self.df.geometry
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g_simplified = g.simplify(100)
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self.df['simplified_geometry'] = g_simplified
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df2 = self.df.set_geometry('simplified_geometry')
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# Drop is false by default
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self.assert_('simplified_geometry' in df2)
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tu.assert_geoseries_equal(df2.geometry, g_simplified)
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# If True, drops column and renames to geometry
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df3 = self.df.set_geometry('simplified_geometry', drop=True)
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self.assert_('simplified_geometry' not in df3)
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tu.assert_geoseries_equal(df3.geometry, g_simplified)
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def test_set_geometry_inplace(self):
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geom = [Point(x,y) for x,y in zip(range(5), range(5))]
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ret = self.df.set_geometry(geom, inplace=True)
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self.assert_(ret is None)
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geom = GeoSeries(geom, index=self.df.index)
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tu.assert_geoseries_equal(self.df.geometry, geom)
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def test_to_json(self):
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text = self.df.to_json()
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data = json.loads(text)
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self.assertTrue(data['type'] == 'FeatureCollection')
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self.assertTrue(len(data['features']) == 5)
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def test_to_json_na(self):
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# Set a value as nan and make sure it's written
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self.df['Shape_Area'][self.df['BoroName']=='Queens'] = np.nan
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text = self.df.to_json()
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data = json.loads(text)
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self.assertTrue(len(data['features']) == 5)
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for f in data['features']:
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props = f['properties']
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self.assertEqual(len(props), 4)
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if props['BoroName'] == 'Queens':
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self.assertTrue(props['Shape_Area'] is None)
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def test_to_json_dropna(self):
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self.df['Shape_Area'][self.df['BoroName']=='Queens'] = np.nan
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self.df['Shape_Leng'][self.df['BoroName']=='Bronx'] = np.nan
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text = self.df.to_json(na='drop')
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data = json.loads(text)
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self.assertEqual(len(data['features']), 5)
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for f in data['features']:
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props = f['properties']
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if props['BoroName'] == 'Queens':
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self.assertEqual(len(props), 3)
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self.assertTrue('Shape_Area' not in props)
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# Just make sure setting it to nan in a different row
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# doesn't affect this one
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self.assertTrue('Shape_Leng' in props)
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elif props['BoroName'] == 'Bronx':
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self.assertEqual(len(props), 3)
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self.assertTrue('Shape_Leng' not in props)
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self.assertTrue('Shape_Area' in props)
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else:
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self.assertEqual(len(props), 4)
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def test_to_json_keepna(self):
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self.df['Shape_Area'][self.df['BoroName']=='Queens'] = np.nan
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self.df['Shape_Leng'][self.df['BoroName']=='Bronx'] = np.nan
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text = self.df.to_json(na='keep')
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data = json.loads(text)
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self.assertEqual(len(data['features']), 5)
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for f in data['features']:
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props = f['properties']
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self.assertEqual(len(props), 4)
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if props['BoroName'] == 'Queens':
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self.assertTrue(np.isnan(props['Shape_Area']))
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# Just make sure setting it to nan in a different row
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# doesn't affect this one
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self.assertTrue('Shape_Leng' in props)
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elif props['BoroName'] == 'Bronx':
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self.assertTrue(np.isnan(props['Shape_Leng']))
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self.assertTrue('Shape_Area' in props)
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def test_copy(self):
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df2 = self.df.copy()
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self.assertTrue(type(df2) is GeoDataFrame)
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self.assertEqual(self.df.crs, df2.crs)
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def test_to_file(self):
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""" Test to_file and from_file """
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tempfilename = os.path.join(self.tempdir, 'boros.shp')
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self.df.to_file(tempfilename)
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# Read layer back in?
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df = GeoDataFrame.from_file(tempfilename)
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self.assertTrue('geometry' in df)
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self.assertTrue(len(df) == 5)
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self.assertTrue(np.alltrue(df['BoroName'].values == self.boros))
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def test_mixed_types_to_file(self):
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""" Test that mixed geometry types raise error when writing to file """
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tempfilename = os.path.join(self.tempdir, 'test.shp')
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s = GeoDataFrame({'geometry' : [Point(0, 0),
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Polygon([(0, 0), (1, 0), (1, 1)])]})
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with self.assertRaises(ValueError):
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s.to_file(tempfilename)
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def test_bool_index(self):
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# Find boros with 'B' in their name
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df = self.df[self.df['BoroName'].str.contains('B')]
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self.assertTrue(len(df) == 2)
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boros = df['BoroName'].values
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self.assertTrue('Brooklyn' in boros)
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self.assertTrue('Bronx' in boros)
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self.assertTrue(type(df) is GeoDataFrame)
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def test_transform(self):
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df2 = self.df2.copy()
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df2.crs = {'init': 'epsg:26918', 'no_defs': True}
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lonlat = df2.to_crs(epsg=4326)
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utm = lonlat.to_crs(epsg=26918)
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self.assertTrue(all(df2['geometry'].almost_equals(utm['geometry'], decimal=2)))
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def test_from_postgis_default(self):
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con = tu.connect('test_geopandas')
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if con is None or not tu.create_db(self.df):
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raise unittest.case.SkipTest()
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try:
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sql = "SELECT * FROM nybb;"
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df = GeoDataFrame.from_postgis(sql, con)
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finally:
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con.close()
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tu.validate_boro_df(self, df)
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def test_from_postgis_custom_geom_col(self):
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con = tu.connect('test_geopandas')
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if con is None or not tu.create_db(self.df):
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raise unittest.case.SkipTest()
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try:
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sql = """SELECT
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borocode, boroname, shape_leng, shape_area,
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geom AS __geometry__
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FROM nybb;"""
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df = GeoDataFrame.from_postgis(sql, con, geom_col='__geometry__')
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finally:
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con.close()
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tu.validate_boro_df(self, df)
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