5 examples of 'how to find median of grouped data' in Python

26
def median(values):
27
    length = len(values)
28
    values.sort()
29
    if length % 2 != 0:
30
        # Odd number of values, so chose middle one
31
        return values[length/2]
32
    else:
33
        # Even number of values, so mean of middle two
34
        return mean([values[length/2], values[(length/2)-1]])

106
def median(x):
107
    return sorted(x)[len(x) // 2]

136
def findMedian(self):
137
    small, large = self.heaps
138
    if len(large) > len(small):
139
        return float(large[0])
140
    return (large[0] - small[0]) / 2.0

564
def _reduce(self, data):
565
    if not HAS_NUMPY:
566
        return sorted(data)[len(data) // 2]
567
568
    return np.median(data)

42
def median(numbers):
43
   """Return the median of the list of numbers.
44
45
   found at: http://mail.python.org/pipermail/python-list/2004-December/253517.html"""
46
   # Sort the list and take the middle element.
47
   n = len(numbers)
48
   copy = numbers[:] # So that "numbers" keeps its original order
49
   copy.sort()
50
   if n & 1:         # There is an odd number of elements
51
      return copy[n // 2]
52
   else:
53
      return (copy[n // 2 - 1] + copy[n // 2]) / 2.0