def test_webuse():
# test copied and adjusted from iolib/tests/test_foreign
from statsmodels.iolib.tests.results.macrodata import macrodata_result as res2
base_gh = "http://github.com/statsmodels/statsmodels/raw/master/statsmodels/datasets/macrodata/"
internet_available = check_internet(base_gh)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
res1 = webuse('macrodata', baseurl=base_gh, as_df=False)
assert_array_equal(res1, res2)
def test_get_rdataset():
# smoke test
test_url = "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
duncan = get_rdataset("Duncan", "car", cache=cur_dir)
assert_(isinstance(duncan, utils.Dataset))
assert_(duncan.from_cache)
def test_get_rdataset():
# smoke test
test_url = "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
duncan = get_rdataset("Duncan", "car", cache=cur_dir)
assert_(isinstance(duncan, utils.Dataset))
assert_(duncan.from_cache)
def test_webuse_pandas():
# test copied and adjusted from iolib/tests/test_foreign
from pandas.util.testing import assert_frame_equal
from statsmodels.datasets import macrodata
dta = macrodata.load_pandas().data
base_gh = "http://github.com/statsmodels/statsmodels/raw/master/statsmodels/datasets/macrodata/"
internet_available = check_internet(base_gh)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
res1 = webuse('macrodata', baseurl=base_gh)
res1 = res1.astype(float)
assert_frame_equal(res1, dta)
def test_get_rdataset():
test_url = "https://raw.githubusercontent.com/vincentarelbundock/" \
"Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
pytest.skip('Unable to retrieve file - skipping test')
try:
duncan = get_rdataset("Duncan", "carData", cache=cur_dir)
except IGNORED_EXCEPTIONS:
pytest.skip('Failed with HTTPError or URLError, these are random')
assert_(isinstance(duncan, utils.Dataset))
duncan = get_rdataset("Duncan", "carData", cache=cur_dir)
assert_(duncan.from_cache)
def test_get_rdataset():
test_url = "https://raw.githubusercontent.com/vincentarelbundock/" \
"Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
pytest.skip('Unable to retrieve file - skipping test')
try:
duncan = get_rdataset("Duncan", "carData", cache=cur_dir)
except (HTTPError, URLError, SSLError, timeout):
pytest.skip('Failed with HTTPError or URLError, these are random')
assert_(isinstance(duncan, utils.Dataset))
duncan = get_rdataset("Duncan", "carData", cache=cur_dir)
assert_(duncan.from_cache)
def test_webuse():
# test copied and adjusted from iolib/tests/test_foreign
from statsmodels.iolib.tests.results.macrodata import macrodata_result
res2 = np.array([list(row) for row in macrodata_result])
base_gh = "https://github.com/statsmodels/statsmodels/raw/master/" \
"statsmodels/datasets/macrodata/"
internet_available = check_internet(base_gh)
if not internet_available:
pytest.skip('Unable to retrieve file - skipping test')
try:
res1 = webuse('macrodata', baseurl=base_gh, as_df=False)
except IGNORED_EXCEPTIONS:
pytest.skip('Failed with HTTPError or URLError, these are random')
assert_array_equal(res1, res2)
def test_get_rdataset():
# smoke test
test_url = "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
duncan = get_rdataset("Duncan", "car", cache=cur_dir)
assert_(isinstance(duncan, utils.Dataset))
if not PY3:
#NOTE: there's no way to test both since the cached files were
#created with Python 2.x, they're strings, but Python 3 expects
#bytes and the index file path is hard-coded so both can't live
#side by side
assert_(duncan.from_cache)
def test_webuse():
# test copied and adjusted from iolib/tests/test_foreign
from statsmodels.iolib.tests.results.macrodata import macrodata_result
res2 = np.array([list(row) for row in macrodata_result])
base_gh = "https://github.com/statsmodels/statsmodels/raw/master/" \
"statsmodels/datasets/macrodata/"
internet_available = check_internet(base_gh)
if not internet_available:
pytest.skip('Unable to retrieve file - skipping test')
try:
res1 = webuse('macrodata', baseurl=base_gh, as_df=False)
except (HTTPError, URLError, SSLError, timeout):
pytest.skip('Failed with HTTPError or URLError, these are random')
assert_array_equal(res1, res2)
def test_get_rdataset():
# smoke test
test_url = "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
duncan = get_rdataset("Duncan", "car", cache=cur_dir)
assert_(isinstance(duncan, utils.Dataset))
if not PY3:
#NOTE: there's no way to test both since the cached files were
#created with Python 2.x, they're strings, but Python 3 expects
#bytes and the index file path is hard-coded so both can't live
#side by side
assert_(duncan.from_cache)
def test_webuse_pandas():
# test copied and adjusted from iolib/tests/test_foreign
from pandas.util.testing import assert_frame_equal
from statsmodels.datasets import macrodata
dta = macrodata.load_pandas().data
base_gh = "https://github.com/statsmodels/statsmodels/raw/master/" \
"statsmodels/datasets/macrodata/"
internet_available = check_internet(base_gh)
if not internet_available:
pytest.skip('Unable to retrieve file - skipping test')
try:
res1 = webuse('macrodata', baseurl=base_gh)
except IGNORED_EXCEPTIONS:
pytest.skip('Failed with HTTP Error, these are random')
res1 = res1.astype(float)
assert_frame_equal(res1, dta.astype(float))
def test_webuse_pandas():
# test copied and adjusted from iolib/tests/test_foreign
from pandas.util.testing import assert_frame_equal
from statsmodels.datasets import macrodata
dta = macrodata.load_pandas().data
base_gh = "https://github.com/statsmodels/statsmodels/raw/master/" \
"statsmodels/datasets/macrodata/"
internet_available = check_internet(base_gh)
if not internet_available:
pytest.skip('Unable to retrieve file - skipping test')
try:
res1 = webuse('macrodata', baseurl=base_gh)
except (HTTPError, URLError, SSLError, timeout):
pytest.skip('Failed with HTTP Error, these are random')
res1 = res1.astype(float)
assert_frame_equal(res1, dta.astype(float))
def test_get_rdataset():
# smoke test
test_url = "https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/datasets/cars.csv"
internet_available = check_internet(test_url)
if not internet_available:
raise SkipTest('Unable to retrieve file - skipping test')
duncan = get_rdataset("Duncan", "car", cache=cur_dir)
assert_(isinstance(duncan, utils.Dataset))
assert_(duncan.from_cache)
# test writing and reading cache
guerry = get_rdataset("Guerry", "HistData", cache=cur_dir)
assert_(guerry.from_cache is False)
guerry2 = get_rdataset("Guerry", "HistData", cache=cur_dir)
assert_(guerry2.from_cache is True)
fn = "raw.github.com,vincentarelbundock,Rdatasets,master,csv,HistData,Guerry.csv.zip"
os.remove(os.path.join(cur_dir, fn))
fn = "raw.github.com,vincentarelbundock,Rdatasets,master,doc,HistData,rst,Guerry.rst.zip"
os.remove(os.path.join(cur_dir, fn))
