def summarize(csv_path: str) -> OrderedDict:
"""
Summarize a CSV file of feature values.
Parameters
----------
csv_path : str
Path to csv.
Returns
-------
OrderedDict
Summary values.
"""
with open(csv_path) as infile:
reader = csv.reader(infile)
table = [row for row in reader]
d = OrderedDict()
ignored_cols = 2
d['datapoints'] = len(table) - 1
for i, col in enumerate(table[0][ignored_cols:]):
i += ignored_cols
d[col] = labmath.mean([float(r[i]) for r in table[1:]])
return d
def test_mean_single_item_array():
assert 1 == labmath.mean([1])
def test_mean():
assert 2 == labmath.mean([1, 2, 3])
assert (1 / 3.) == labmath.mean([1, 1.5, -1.5])
assert 2 == labmath.mean([2, 2, 2, 2, 2])
assert 2.5 == labmath.mean([1, 2, 3, 4])
def test_mean_empty_array():
assert 0 == labmath.mean([])