Files
geopandas/tests/test_geodataframe.py
T

50 lines
1.7 KiB
Python

import unittest
import json
import os
import tempfile
import shutil
import urllib2
import numpy as np
from geopandas import GeoDataFrame
class TestDataFrame(unittest.TestCase):
def setUp(self):
# Data from http://www.nyc.gov/html/dcp/download/bytes/nybb_13a.zip
# saved as geopandas/examples/nybb_13a.zip.
if not os.path.exists(os.path.join('examples', 'nybb_13a.zip')):
with open(os.path.join('examples', 'nybb_13a.zip'), 'w') as f:
response = urllib2.urlopen('http://www.nyc.gov/html/dcp/download/bytes/nybb_13a.zip')
f.write(response.read())
self.df = GeoDataFrame.from_file(
'/nybb_13a/nybb.shp', vfs='zip://examples/nybb_13a.zip')
self.tempdir = tempfile.mkdtemp()
self.boros = np.array(['Staten Island', 'Queens', 'Brooklyn',
'Manhattan', 'Bronx'])
def tearDown(self):
shutil.rmtree(self.tempdir)
def test_from_file_(self):
self.assertTrue('geometry' in self.df)
self.assertTrue(len(self.df) == 5)
self.assertTrue(np.alltrue(self.df['BoroName'].values == self.boros))
def test_to_json(self):
text = self.df.to_json()
data = json.loads(text)
self.assertTrue(data['type'] == 'FeatureCollection')
self.assertTrue(len(data['features']) == 5)
def test_to_file(self):
tempfilename = os.path.join(self.tempdir, 'boros.shp')
self.df.to_file(tempfilename)
# Read layer back in?
df = GeoDataFrame.from_file(tempfilename)
self.assertTrue('geometry' in df)
self.assertTrue(len(df) == 5)
self.assertTrue(np.alltrue(df['BoroName'].values == self.boros))