def summary_stats(data_list):
"""
Accepts a sample of numbers and returns a pretty
print out of a variety of descriptive statistics.
"""
mean = calculate.mean(data_list)
median = calculate.median(data_list)
mode = calculate.mode(data_list)
n = len(data_list)
max_ = max(data_list)
min_ = min(data_list)
range_ = calculate.range(data_list)
standard_deviation = calculate.standard_deviation(data_list)
print """
Summary statistics
==================
n: %s
max: %s
min: %s
range: %s
mean: %s
median: %s
mode: %s
std: %s
""" % (n, max_, min_, range_, mean, median, mode, standard_deviation)
def summary_stats(data_list):
"""
Accepts a sample of numbers and returns a pretty
print out of a variety of descriptive statistics.
"""
mean = calculate.mean(data_list)
median = calculate.median(data_list)
mode = calculate.mode(data_list)
n = len(data_list)
max_ = max(data_list)
min_ = min(data_list)
range_ = calculate.range(data_list)
standard_deviation = calculate.standard_deviation(data_list)
variation_coefficient = calculate.variation_coefficient(data_list)
table = ptable.indent(
[
['Statistic', 'Value'],
['n', str(n)],
['mean', str(mean)],
['median', str(median)],
['mode', str(mode)],
['maximum', str(max_)],
['minimum', str(min_)],
['range', str(range_)],
['standard deviation', str(standard_deviation)],
['variation coefficient', str(variation_coefficient)],
],
hasHeader=True,
separateRows=False,
prefix="| ", postfix=" |",
)
print(table)
def test_range(self):
self.assertEqual(calculate.range([1, 2, 3]), 2)
self.assertRaises(ValueError, calculate.range, ['a', 1, 2])
self.assertRaises(ValueError, calculate.range, [1])
def test_range(self):
self.assertEqual(calculate.range([1, 2, 3]), 2)
self.assertRaises(ValueError, calculate.range, ['a', 1, 2])
self.assertRaises(ValueError, calculate.range, [1])
def test_range(self):
self.assertEqual(calculate.range([1,2,3]), 2)
with self.assertRaises(ValueError):
calculate.range(['a', 1, 2])