Python statistics 模块，median_low() 实例源码

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

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)