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Python TimeSeries.consolidate方法代碼示例

本文整理匯總了Python中graphite_api.render.datalib.TimeSeries.consolidate方法的典型用法代碼示例。如果您正苦於以下問題:Python TimeSeries.consolidate方法的具體用法?Python TimeSeries.consolidate怎麽用?Python TimeSeries.consolidate使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在graphite_api.render.datalib.TimeSeries的用法示例。


在下文中一共展示了TimeSeries.consolidate方法的5個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_TimeSeries_consolidate

# 需要導入模塊: from graphite_api.render.datalib import TimeSeries [as 別名]
# 或者: from graphite_api.render.datalib.TimeSeries import consolidate [as 別名]
 def test_TimeSeries_consolidate(self):
     values = range(0, 100)
     series = TimeSeries("collectd.test-db.load.value",
                         0, len(values)/2, 1, values)
     self.assertEqual(series.valuesPerPoint, 1)
     series.consolidate(2)
     self.assertEqual(series.valuesPerPoint, 2)
開發者ID:VinnyQ,項目名稱:graphite-api,代碼行數:9,代碼來源:test_render_datalib.py

示例2: test_TimeSeries_iterate_valuesPerPoint_2_invalid

# 需要導入模塊: from graphite_api.render.datalib import TimeSeries [as 別名]
# 或者: from graphite_api.render.datalib.TimeSeries import consolidate [as 別名]
 def test_TimeSeries_iterate_valuesPerPoint_2_invalid(self):
     values = range(0, 100)
     series = TimeSeries("collectd.test-db.load.value",
                         0, 5, 1, values, consolidate='bogus')
     self.assertEqual(series.valuesPerPoint, 1)
     series.consolidate(2)
     self.assertEqual(series.valuesPerPoint, 2)
     with self.assertRaises(Exception):
         list(series)
開發者ID:VinnyQ,項目名稱:graphite-api,代碼行數:11,代碼來源:test_render_datalib.py

示例3: test_TimeSeries_iterate_valuesPerPoint_2_min

# 需要導入模塊: from graphite_api.render.datalib import TimeSeries [as 別名]
# 或者: from graphite_api.render.datalib.TimeSeries import consolidate [as 別名]
 def test_TimeSeries_iterate_valuesPerPoint_2_min(self):
     values = range(0, 100)
     series = TimeSeries("collectd.test-db.load.value",
                         0, 5, 1, values, consolidate='min')
     self.assertEqual(series.valuesPerPoint, 1)
     series.consolidate(2)
     self.assertEqual(series.valuesPerPoint, 2)
     expected = TimeSeries("collectd.test-db.load.value",
                           0, 5, 1, list(range(0, 100, 2)) + [None])
     self.assertEqual(list(series), list(expected))
開發者ID:VinnyQ,項目名稱:graphite-api,代碼行數:12,代碼來源:test_render_datalib.py

示例4: test_TimeSeries_iterate_valuesPerPoint_2_none_values

# 需要導入模塊: from graphite_api.render.datalib import TimeSeries [as 別名]
# 或者: from graphite_api.render.datalib.TimeSeries import consolidate [as 別名]
 def test_TimeSeries_iterate_valuesPerPoint_2_none_values(self):
     values = [None, None, None, None, None]
     series = TimeSeries("collectd.test-db.load.value",
                         0, len(values)/2, 1, values)
     self.assertEqual(series.valuesPerPoint, 1)
     series.consolidate(2)
     self.assertEqual(series.valuesPerPoint, 2)
     expected = TimeSeries("collectd.test-db.load.value",
                           0, 5, 1, [None, None, None])
     self.assertEqual(list(series), list(expected))
開發者ID:VinnyQ,項目名稱:graphite-api,代碼行數:12,代碼來源:test_render_datalib.py

示例5: test_TimeSeries_iterate_valuesPerPoint_2_avg

# 需要導入模塊: from graphite_api.render.datalib import TimeSeries [as 別名]
# 或者: from graphite_api.render.datalib.TimeSeries import consolidate [as 別名]
 def test_TimeSeries_iterate_valuesPerPoint_2_avg(self):
     values = range(0, 100)
     series = TimeSeries("collectd.test-db.load.value",
                         0, len(values)/2, 1, values)
     self.assertEqual(series.valuesPerPoint, 1)
     series.consolidate(2)
     self.assertEqual(series.valuesPerPoint, 2)
     expected = TimeSeries("collectd.test-db.load.value", 0, 5, 1,
                           list(map(lambda x: x+0.5, range(0, 100, 2))) +
                           [None])
     self.assertEqual(list(series), list(expected))
開發者ID:VinnyQ,項目名稱:graphite-api,代碼行數:13,代碼來源:test_render_datalib.py


注:本文中的graphite_api.render.datalib.TimeSeries.consolidate方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。