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from __future__ import division
def median(data):
"""
Return the median (middle value) of numeric data, using the common
"mean of middle two" method. If data is empty, ValueError is raised.
Mimics the behaviour of Python3's statistics.median
>>> median([1, 3, 5])
3
>>> median([1, 3, 5, 7])
4.0
"""
data = sorted(data)
n = len(data)
if not n:
raise ValueError("No median for empty data")
i = n // 2
if n % 2:
return data[i]
return (data[i - 1] + data[i]) / 2
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