import sys
class Stats:
def __init__(self, sequence):
# sequence of numbers we willPRocess
# convert all items to floats for numerical processing
self.sequence = [float(item) for item in sequence]
def sum(self):
if len(self.sequence) < 1:
return None
else:
return sum(self.sequence)
def count(self):
return len(self.sequence)
def min(self):
if len(self.sequence) < 1:
return None
else:
return min(self.sequence)
def max(self):
if len(self.sequence) < 1:
return None
else:
return max(self.sequence)
def avg(self):
if len(self.sequence) < 1:
return None
else:
return sum(self.sequence) / len(self.sequence)
def median(self):
if len(self.sequence) < 1:
return None
else:
self.sequence.sort()
return self.sequence[len(self.sequence) // 2]
def stdev(self):
if len(self.sequence) < 1:
return None
else:
avg = self.avg()
sdsq = sum([(i - avg) ** 2 for i in self.sequence])
stdev = (sdsq / (len(self.sequence) - 1)) ** .5
return stdev
def percentile(self, percentile):
if len(self.sequence) < 1:
value = None
elif (percentile >= 100):
sys.stderr.write('ERROR: percentile must be < 100. you supplied: %s\n'% percentile)
value = None
else:
element_idx = int(len(self.sequence) * (percentile / 100.0))
self.sequence.sort()
value = self.sequence[element_idx]
return value