def MEDIAN_LOW(df, n, price='Close'):
"""
Low median of data
"""
median_low_list = []
i = 0
while i < 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)
i += 1
return median_low_list
python类median_low()的实例源码
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)
def main():
print(stats.mean(range(6)))
print(stats.median(range(6)))
print(stats.median_low(range(6)))
print(stats.median_high(range(6)))
print(stats.median_grouped(range(6)))
try:
print(stats.mode(range(6)))
except Exception as e:
print(e)
print(stats.mode(list(range(6)) + [3]))
print(stats.pstdev(list(range(6)) + [3]))
print(stats.stdev(list(range(6)) + [3]))
print(stats.pvariance(list(range(6)) + [3]))
print(stats.variance(list(range(6)) + [3]))
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)
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))
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'))
def sortSubListsAndMedian(A):
sortedList = []
medianList = []
for smallList in A:
sortedList.append(sorted(smallList))
medianList.append(statistics.median_low(smallList))
return sortedList, medianList
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)
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))
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'))
def median_low(text):
"""
Finds the low median of a space-separated list of numbers.
Example::
/median low 33 54 43 65 43 62
"""
return format_output(statistics.median_low(parse_numeric_list(text)))
def setup():
commands.add(mean)
commands.add(median)
commands.add(median_low)
commands.add(median_high)
commands.add(median_grouped)
commands.add(mode)
commands.add(pstdev)
commands.add(pvariance)
commands.add(stdev)
commands.add(variance)
