def test_iterator(self):
try:
reader = GAnalytics()
it = reader.get_data(
metrics='visitors',
start_date='2005-1-1',
dimensions='date',
max_results=10, chunksize=5,
index_col=0)
df1 = next(it)
df2 = next(it)
for df in [df1, df2]:
self.assertIsInstance(df, pd.DataFrame)
self.assertIsInstance(df.index, pd.DatetimeIndex)
self.assertEqual(len(df), 5)
self.assertTrue('date' not in df)
self.assertEqual(df.index.name, 'date')
self.assertTrue('visitors' in df)
self.assertTrue((df2.index > df1.index).all())
except AuthenticationConfigError:
raise nose.SkipTest("authentication error")
def test_iterator(self):
try:
reader = GAnalytics()
it = reader.get_data(metrics='visitors',
start_date='2005-1-1',
dimensions='date',
max_results=10,
chunksize=5)
df1 = it.next()
df2 = it.next()
for df in [df1, df2]:
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) == 5
assert 'date' not in df
assert df.index.name == 'date'
assert 'visitors' in df
assert (df2.index > df1.index).all()
except AuthenticationConfigError:
raise nose.SkipTest
def test_iterator(self):
try:
reader = GAnalytics()
it = reader.get_data(metrics='visitors',
start_date='2005-1-1',
dimensions='date',
max_results=10,
chunksize=5,
index_col=0)
df1 = next(it)
df2 = next(it)
for df in [df1, df2]:
self.assertIsInstance(df, pd.DataFrame)
self.assertIsInstance(df.index, pd.DatetimeIndex)
self.assertEqual(len(df), 5)
self.assertTrue('date' not in df)
self.assertEqual(df.index.name, 'date')
self.assertTrue('visitors' in df)
self.assertTrue((df2.index > df1.index).all())
except AuthenticationConfigError:
raise nose.SkipTest("authentication error")
def test_iterator(self):
try:
reader = GAnalytics()
it = reader.get_data(
metrics='visitors',
start_date='2005-1-1',
dimensions='date',
max_results=10, chunksize=5)
df1 = it.next()
df2 = it.next()
for df in [df1, df2]:
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) == 5
assert 'date' not in df
assert df.index.name == 'date'
assert 'visitors' in df
assert (df2.index > df1.index).all()
except AuthenticationConfigError:
raise nose.SkipTest
def test_segment(self):
try:
end_date = datetime.now()
start_date = end_date - pd.offsets.Day() * 5
end_date = end_date.strftime('%Y-%m-%d')
start_date = start_date.strftime('%Y-%m-%d')
reader = GAnalytics()
df = reader.get_data(
metrics=['avgTimeOnSite', 'visitors', 'newVisits',
'pageviewsPerVisit'],
start_date=start_date,
end_date=end_date,
segment=-2,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']},
index_col=0)
self.assertIsInstance(df, pd.DataFrame)
self.assertIsInstance(df.index, pd.DatetimeIndex)
self.assertGreater(len(df), 1)
self.assertTrue('date' not in df)
self.assertTrue('hour' not in df)
self.assertEqual(df.index.name, 'ts')
self.assertTrue('avgTimeOnSite' in df)
self.assertTrue('visitors' in df)
self.assertTrue('newVisits' in df)
self.assertTrue('pageviewsPerVisit' in df)
# dynamic
df = read_ga(
metrics=['avgTimeOnSite', 'visitors', 'newVisits',
'pageviewsPerVisit'],
start_date=start_date,
end_date=end_date,
segment="source=~twitter",
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']},
index_col=0)
assert isinstance(df, pd.DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
self.assertGreater(len(df), 1)
self.assertTrue('date' not in df)
self.assertTrue('hour' not in df)
self.assertEqual(df.index.name, 'ts')
self.assertTrue('avgTimeOnSite' in df)
self.assertTrue('visitors' in df)
self.assertTrue('newVisits' in df)
self.assertTrue('pageviewsPerVisit' in df)
except AuthenticationConfigError:
raise nose.SkipTest("authentication error")
def test_getdata(self):
try:
import httplib2
from pandas.io.ga import GAnalytics, read_ga
from pandas.io.auth import AuthenticationConfigError
except ImportError:
raise nose.SkipTest
try:
end_date = datetime.now()
start_date = end_date - pd.offsets.Day() * 5
end_date = end_date.strftime('%Y-%m-%d')
start_date = start_date.strftime('%Y-%m-%d')
reader = GAnalytics()
df = reader.get_data(
metrics=['avgTimeOnSite', 'visitors', 'newVisits',
'pageviewsPerVisit'],
start_date=start_date,
end_date=end_date,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) > 1
assert 'date' not in df
assert 'hour' not in df
assert df.index.name == 'ts'
assert 'avgTimeOnSite' in df
assert 'visitors' in df
assert 'newVisits' in df
assert 'pageviewsPerVisit' in df
df2 = read_ga(
metrics=['avgTimeOnSite', 'visitors', 'newVisits',
'pageviewsPerVisit'],
start_date=start_date,
end_date=end_date,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert_frame_equal(df, df2)
except AuthenticationConfigError:
raise nose.SkipTest
except httplib2.ServerNotFoundError:
try:
h = httplib2.Http()
response, content = h.request("http://www.google.com")
raise
except httplib2.ServerNotFoundError:
raise nose.SkipTest
def test_segment(self):
try:
end_date = datetime.now()
start_date = end_date - pd.offsets.Day() * 5
end_date = end_date.strftime('%Y-%m-%d')
start_date = start_date.strftime('%Y-%m-%d')
reader = GAnalytics()
df = reader.get_data(metrics=[
'avgTimeOnSite', 'visitors', 'newVisits', 'pageviewsPerVisit'
],
start_date=start_date,
end_date=end_date,
segment=-2,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']},
index_col=0)
self.assertIsInstance(df, pd.DataFrame)
self.assertIsInstance(df.index, pd.DatetimeIndex)
self.assertGreater(len(df), 1)
self.assertTrue('date' not in df)
self.assertTrue('hour' not in df)
self.assertEqual(df.index.name, 'ts')
self.assertTrue('avgTimeOnSite' in df)
self.assertTrue('visitors' in df)
self.assertTrue('newVisits' in df)
self.assertTrue('pageviewsPerVisit' in df)
# dynamic
df = read_ga(metrics=[
'avgTimeOnSite', 'visitors', 'newVisits', 'pageviewsPerVisit'
],
start_date=start_date,
end_date=end_date,
segment="source=~twitter",
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']},
index_col=0)
assert isinstance(df, pd.DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
self.assertGreater(len(df), 1)
self.assertTrue('date' not in df)
self.assertTrue('hour' not in df)
self.assertEqual(df.index.name, 'ts')
self.assertTrue('avgTimeOnSite' in df)
self.assertTrue('visitors' in df)
self.assertTrue('newVisits' in df)
self.assertTrue('pageviewsPerVisit' in df)
except AuthenticationConfigError:
raise nose.SkipTest("authentication error")
def test_getdata(self):
try:
import httplib2
from pandas.io.ga import GAnalytics, read_ga
from pandas.io.auth import AuthenticationConfigError
except ImportError:
raise nose.SkipTest
try:
end_date = datetime.now()
start_date = end_date - pd.offsets.Day() * 5
end_date = end_date.strftime('%Y-%m-%d')
start_date = start_date.strftime('%Y-%m-%d')
reader = GAnalytics()
df = reader.get_data(metrics=[
'avgTimeOnSite', 'visitors', 'newVisits', 'pageviewsPerVisit'
],
start_date=start_date,
end_date=end_date,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) > 1
assert 'date' not in df
assert 'hour' not in df
assert df.index.name == 'ts'
assert 'avgTimeOnSite' in df
assert 'visitors' in df
assert 'newVisits' in df
assert 'pageviewsPerVisit' in df
df2 = read_ga(metrics=[
'avgTimeOnSite', 'visitors', 'newVisits', 'pageviewsPerVisit'
],
start_date=start_date,
end_date=end_date,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert_frame_equal(df, df2)
except AuthenticationConfigError:
raise nose.SkipTest
except httplib2.ServerNotFoundError:
try:
h = httplib2.Http()
response, content = h.request("http://www.google.com")
raise
except httplib2.ServerNotFoundError:
raise nose.SkipTest
def test_segment(self):
try:
end_date = datetime.now()
start_date = end_date - pd.offsets.Day() * 5
end_date = end_date.strftime('%Y-%m-%d')
start_date = start_date.strftime('%Y-%m-%d')
reader = GAnalytics()
df = reader.get_data(metrics=[
'avgTimeOnSite', 'visitors', 'newVisits', 'pageviewsPerVisit'
],
start_date=start_date,
end_date=end_date,
segment=-2,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) > 1
assert 'date' not in df
assert 'hour' not in df
assert df.index.name == 'ts'
assert 'avgTimeOnSite' in df
assert 'visitors' in df
assert 'newVisits' in df
assert 'pageviewsPerVisit' in df
#dynamic
df = read_ga(metrics=[
'avgTimeOnSite', 'visitors', 'newVisits', 'pageviewsPerVisit'
],
start_date=start_date,
end_date=end_date,
segment="source=~twitter",
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) > 1
assert 'date' not in df
assert 'hour' not in df
assert df.index.name == 'ts'
assert 'avgTimeOnSite' in df
assert 'visitors' in df
assert 'newVisits' in df
assert 'pageviewsPerVisit' in df
except AuthenticationConfigError:
raise nose.SkipTest
def test_segment(self):
try:
end_date = datetime.now()
start_date = end_date - pd.offsets.Day() * 5
end_date = end_date.strftime('%Y-%m-%d')
start_date = start_date.strftime('%Y-%m-%d')
reader = GAnalytics()
df = reader.get_data(
metrics=['avgTimeOnSite', 'visitors', 'newVisits',
'pageviewsPerVisit'],
start_date=start_date,
end_date=end_date,
segment=-2,
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) > 1
assert 'date' not in df
assert 'hour' not in df
assert df.index.name == 'ts'
assert 'avgTimeOnSite' in df
assert 'visitors' in df
assert 'newVisits' in df
assert 'pageviewsPerVisit' in df
#dynamic
df = read_ga(
metrics=['avgTimeOnSite', 'visitors', 'newVisits',
'pageviewsPerVisit'],
start_date=start_date,
end_date=end_date,
segment="source=~twitter",
dimensions=['date', 'hour'],
parse_dates={'ts': ['date', 'hour']})
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) > 1
assert 'date' not in df
assert 'hour' not in df
assert df.index.name == 'ts'
assert 'avgTimeOnSite' in df
assert 'visitors' in df
assert 'newVisits' in df
assert 'pageviewsPerVisit' in df
except AuthenticationConfigError:
raise nose.SkipTest
def test_iterator(self):
try:
import httplib2
from pandas.io.ga import GAnalytics, read_ga
from pandas.io.auth import AuthenticationConfigError
except ImportError:
raise nose.SkipTest
try:
reader = GAnalytics()
it = reader.get_data(
metrics='visitors',
start_date='2005-1-1',
dimensions='date',
max_results=10, chunksize=5)
df1 = it.next()
df2 = it.next()
for df in [df1, df2]:
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) == 5
assert 'date' not in df
assert df.index.name == 'date'
assert 'visitors' in df
assert (df2.index > df1.index).all()
except AuthenticationConfigError:
raise nose.SkipTest
except httplib2.ServerNotFoundError:
try:
h = httplib2.Http()
response, content = h.request("http://www.google.com")
raise
except httplib2.ServerNotFoundError:
raise nose.SkipTest
def test_iterator(self):
try:
import httplib2
from pandas.io.ga import GAnalytics, read_ga
from pandas.io.auth import AuthenticationConfigError
except ImportError:
raise nose.SkipTest
try:
reader = GAnalytics()
it = reader.get_data(metrics='visitors',
start_date='2005-1-1',
dimensions='date',
max_results=10,
chunksize=5)
df1 = it.next()
df2 = it.next()
for df in [df1, df2]:
assert isinstance(df, DataFrame)
assert isinstance(df.index, pd.DatetimeIndex)
assert len(df) == 5
assert 'date' not in df
assert df.index.name == 'date'
assert 'visitors' in df
assert (df2.index > df1.index).all()
except AuthenticationConfigError:
raise nose.SkipTest
except httplib2.ServerNotFoundError:
try:
h = httplib2.Http()
response, content = h.request("http://www.google.com")
raise
except httplib2.ServerNotFoundError:
raise nose.SkipTest
