Python statistics.median_low() Examples
The following are 17
code examples of statistics.median_low().
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Example #1
| Source File: test_statistics.py From ironpython3 with Apache License 2.0 | 5 votes |
|
def test_even_decimals(self):
# Test median_low works with an even number of Decimals.
D = Decimal
data = [D('1.1'), D('2.2'), D('3.3'), D('4.4'), D('5.5'), D('6.6')]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), D('3.3'))
Example #2
| Source File: test_statistics.py From android_universal with MIT License | 5 votes |
|
def test_even_decimals(self):
# Test median_low works with an even number of Decimals.
D = Decimal
data = [D('1.1'), D('2.2'), D('3.3'), D('4.4'), D('5.5'), D('6.6')]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), D('3.3'))
Example #3
| Source File: test_statistics.py From android_universal with MIT License | 5 votes |
|
def test_even_fractions(self):
# Test median_low works with an even number of Fractions.
F = Fraction
data = [F(1, 7), F(2, 7), F(3, 7), F(4, 7), F(5, 7), F(6, 7)]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), F(3, 7))
Example #4
| Source File: test_statistics.py From android_universal with MIT License | 5 votes |
|
def test_even_ints(self):
# Test median_low with an even number of ints.
data = [1, 2, 3, 4, 5, 6]
assert len(data)%2 == 0
self.assertEqual(self.func(data), 3)
Example #5
| Source File: test_statistics.py From Project-New-Reign---Nemesis-Main with GNU General Public License v3.0 | 5 votes |
|
def test_even_decimals(self):
# Test median_low works with an even number of Decimals.
D = Decimal
data = [D('1.1'), D('2.2'), D('3.3'), D('4.4'), D('5.5'), D('6.6')]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), D('3.3'))
Example #6
| Source File: test_statistics.py From Project-New-Reign---Nemesis-Main with GNU General Public License v3.0 | 5 votes |
|
def test_even_fractions(self):
# Test median_low works with an even number of Fractions.
F = Fraction
data = [F(1, 7), F(2, 7), F(3, 7), F(4, 7), F(5, 7), F(6, 7)]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), F(3, 7))
Example #7
| Source File: test_statistics.py From Project-New-Reign---Nemesis-Main with GNU General Public License v3.0 | 5 votes |
|
def test_even_ints(self):
# Test median_low with an even number of ints.
data = [1, 2, 3, 4, 5, 6]
assert len(data)%2 == 0
self.assertEqual(self.func(data), 3)
Example #8
| Source File: test_statistics.py From mpyc with MIT License | 5 votes |
|
def test_secint(self):
secint = mpc.SecInt()
y = [1, 3, -2, 3, 1, -2, -2, 4] * 5
random.shuffle(y)
x = list(map(secint, y))
self.assertEqual(mpc.run(mpc.output(mean(x))), round(statistics.mean(y)))
self.assertEqual(mpc.run(mpc.output(variance(x))), round(statistics.variance(y)))
self.assertEqual(mpc.run(mpc.output(variance(x, mean(x)))), round(statistics.variance(y)))
self.assertEqual(mpc.run(mpc.output(stdev(x))), round(statistics.stdev(y)))
self.assertEqual(mpc.run(mpc.output(pvariance(x))), round(statistics.pvariance(y)))
self.assertEqual(mpc.run(mpc.output(pstdev(x))), round(statistics.pstdev(y)))
self.assertEqual(mpc.run(mpc.output(mode(x))), round(statistics.mode(y)))
self.assertEqual(mpc.run(mpc.output(median(x))), round(statistics.median(y)))
self.assertEqual(mpc.run(mpc.output(median_low(x))), round(statistics.median_low(y)))
self.assertEqual(mpc.run(mpc.output(median_high(x))), round(statistics.median_high(y)))
Example #9
| Source File: statistic_functions.py From jhTAlib with GNU General Public License v3.0 | 5 votes |
|
def MEDIAN_LOW(df, n, price='Close'):
"""
Low median of data
Returns: list of floats = jhta.MEDIAN_LOW(df, n, price='Close')
"""
median_low_list = []
if n == len(df[price]):
start = None
for i in range(len(df[price])):
if df[price][i] != df[price][i]:
median_low = float('NaN')
else:
if start is None:
start = i
end = i + 1
median_low = statistics.median_low(df[price][start:end])
median_low_list.append(median_low)
else:
for i in range(len(df[price])):
if i + 1 < n:
median_low = float('NaN')
else:
start = i + 1 - n
end = i + 1
median_low = statistics.median_low(df[price][start:end])
median_low_list.append(median_low)
return median_low_list
Example #10
| Source File: average_strategies.py From indy-plenum with Apache License 2.0 | 5 votes |
|
def get_avg(metrics: List):
return median_low(metrics)
Example #11
| Source File: test_statistics.py From ironpython3 with Apache License 2.0 | 5 votes |
|
def test_even_fractions(self):
# Test median_low works with an even number of Fractions.
F = Fraction
data = [F(1, 7), F(2, 7), F(3, 7), F(4, 7), F(5, 7), F(6, 7)]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), F(3, 7))
Example #12
| Source File: test_statistics.py From ironpython3 with Apache License 2.0 | 5 votes |
|
def test_even_ints(self):
# Test median_low with an even number of ints.
data = [1, 2, 3, 4, 5, 6]
assert len(data)%2 == 0
self.assertEqual(self.func(data), 3)
Example #13
| Source File: selection_det.py From Advanced_Algorithms with ISC License | 5 votes |
|
def sortSubListsAndMedian(A):
sortedList = []
medianList = []
for smallList in A:
sortedList.append(sorted(smallList))
medianList.append(statistics.median_low(smallList))
return sortedList, medianList
Example #14
| Source File: test_statistics.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def test_even_decimals(self):
# Test median_low works with an even number of Decimals.
D = Decimal
data = [D('1.1'), D('2.2'), D('3.3'), D('4.4'), D('5.5'), D('6.6')]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), D('3.3'))
Example #15
| Source File: test_statistics.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def test_even_fractions(self):
# Test median_low works with an even number of Fractions.
F = Fraction
data = [F(1, 7), F(2, 7), F(3, 7), F(4, 7), F(5, 7), F(6, 7)]
assert len(data)%2 == 0
random.shuffle(data)
self.assertEqual(self.func(data), F(3, 7))
Example #16
| Source File: test_statistics.py From Fluid-Designer with GNU General Public License v3.0 | 5 votes |
|
def test_even_ints(self):
# Test median_low with an even number of ints.
data = [1, 2, 3, 4, 5, 6]
assert len(data)%2 == 0
self.assertEqual(self.func(data), 3)
Example #17
| Source File: states.py From zatt with GNU Affero General Public License v3.0 | 5 votes |
|
def on_peer_response_append(self, peer, msg):
"""Handle peer response to append_entries.
If successful RPC, try to commit new entries.
If RPC unsuccessful, backtrack."""
if msg['success']:
self.matchIndex[peer] = msg['matchIndex']
self.nextIndex[peer] = msg['matchIndex'] + 1
self.matchIndex[self.volatile['address']] = self.log.index
self.nextIndex[self.volatile['address']] = self.log.index + 1
index = statistics.median_low(self.matchIndex.values())
self.log.commit(index)
self.send_client_append_response()
else:
self.nextIndex[peer] = max(0, self.nextIndex[peer] - 1)
