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