mirror of
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85 lines
3.1 KiB
Python
85 lines
3.1 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 urllib2
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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
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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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# Data from http://www.nyc.gov/html/dcp/download/bytes/nybb_13a.zip
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# saved as geopandas/examples/nybb_13a.zip.
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if not os.path.exists(os.path.join('examples', 'nybb_13a.zip')):
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with open(os.path.join('examples', 'nybb_13a.zip'), 'w') as f:
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response = urllib2.urlopen('http://www.nyc.gov/html/dcp/download/bytes/nybb_13a.zip')
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f.write(response.read())
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self.df = GeoDataFrame.from_file(
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'/nybb_13a/nybb.shp', vfs='zip://examples/nybb_13a.zip')
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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_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_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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