本文整理匯總了Python中graphite_api.render.datalib.TimeSeries.pathExpression方法的典型用法代碼示例。如果您正苦於以下問題：Python TimeSeries.pathExpression方法的具體用法？Python TimeSeries.pathExpression怎麽用？Python TimeSeries.pathExpression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類graphite_api.render.datalib.TimeSeries的用法示例。
在下文中一共展示了TimeSeries.pathExpression方法的6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_null_zero_sum
# 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 pathExpression [as 別名]
def test_null_zero_sum(self):
s = TimeSeries("s", 0, 1, 1, [None])
s.pathExpression = 's'
[series] = functions.sumSeries({}, [s])
self.assertEqual(list(series), [None])
s = TimeSeries("s", 0, 1, 1, [None, 1])
s.pathExpression = 's'
t = TimeSeries("s", 0, 1, 1, [None, None])
t.pathExpression = 't'
[series] = functions.sumSeries({}, [s, t])
self.assertEqual(list(series), [None, 1])示例2: test_holt_winters
# 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 pathExpression [as 別名]
def test_holt_winters(self):
timespan = 3600 * 24 * 8 # 8 days
stop = int(time.time())
step = 100
series = TimeSeries('foo.bar',
stop - timespan,
stop,
step,
[x**1.5 for x in range(0, timespan, step)])
series[10] = None
series.pathExpression = 'foo.bar'
self.write_series(series, [(100, timespan)])
ctx = {
'startTime': parseATTime('-1d'),
}
analysis = functions.holtWintersForecast(ctx, [series])
self.assertEqual(len(analysis), 1)
analysis = functions.holtWintersConfidenceBands(ctx, [series])
self.assertEqual(len(analysis), 2)
analysis = functions.holtWintersConfidenceArea(ctx, [series])
self.assertEqual(len(analysis), 2)
analysis = functions.holtWintersAberration(ctx, [series])
self.assertEqual(len(analysis), 1)示例3: _generate_series_list
# 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 pathExpression [as 別名]
def _generate_series_list(self):
seriesList = []
config = [range(101), range(101), [1] + [None] * 100]
for i, c in enumerate(config):
name = "collectd.test-db{0}.load.value".format(i + 1)
series = TimeSeries(name, 0, 101, 1, c)
series.pathExpression = name
seriesList.append(series)
return seriesList示例4: _generate_series_list
# 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 pathExpression [as 別名]
def _generate_series_list(self, config=(range(101), range(2, 103), [1] * 2 + [None] * 90 + [1] * 2 + [None] * 7)):
seriesList = []
now = int(time.time())
for i, c in enumerate(config):
name = "collectd.test-db{0}.load.value".format(i + 1)
series = TimeSeries(name, now - 101, now, 1, c)
series.pathExpression = name
seriesList.append(series)
return seriesList示例5: test_time_stack
# 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 pathExpression [as 別名]
def test_time_stack(self):
timespan = 3600 * 24 * 8 # 8 days
stop = int(time.time())
step = 100
series = TimeSeries("foo.bar", stop - timespan, stop, step, [x ** 1.5 for x in range(0, timespan, step)])
series[10] = None
series.pathExpression = "foo.bar"
self.write_series(series, [(100, timespan)])
ctx = {"startTime": parseATTime("-1d"), "endTime": parseATTime("now")}
stack = functions.timeStack(ctx, [series], "1d", 0, 7)
self.assertEqual(len(stack), 7)
stack = functions.timeStack(ctx, [series], "-1d", 0, 7)
self.assertEqual(len(stack), 7)示例6: test_time_stack
# 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 pathExpression [as 別名]
def test_time_stack(self):
timespan = 3600 * 24 * 8 # 8 days
stop = int(time.time())
step = 100
series = TimeSeries('foo.bar',
stop - timespan,
stop,
step,
[x**1.5 for x in range(0, timespan, step)])
series[10] = None
series.pathExpression = 'foo.bar'
self.write_series(series, [(100, timespan)])
ctx = {'startTime': parseATTime('-1d'),
'endTime': parseATTime('now')}
stack = functions.timeStack(ctx, [series], '1d', 0, 7)
self.assertEqual(len(stack), 7)
stack = functions.timeStack(ctx, [series], '-1d', 0, 7)
self.assertEqual(len(stack), 7)