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bpo-36546: Clean-up comments (GH-14857) (#14859)

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(cherry picked from commit eed5e9a956)

Co-authored-by: Raymond Hettinger <rhettinger@users.noreply.github.com>
This commit is contained in:
Miss Islington (bot) 2019-07-19 02:17:53 -07:00 • committed by Raymond Hettinger
parent a50a6225a0
commit e5bfd1ce9d
1 changed files with 3 additions and 9 deletions
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12
Lib/statistics.py
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@ -596,12 +596,9 @@ def multimode(data):
# intervals, and exactly 100p% of the intervals lie to the left of
# Q7(p) and 100(1 - p)% of the intervals lie to the right of Q7(p)."
# If the need arises, we could add method="median" for a median
# unbiased, distribution-free alternative. Also if needed, the
# distribution-free approaches could be augmented by adding
# method='normal'. However, for now, the position is that fewer
# options make for easier choices and that external packages can be
# used for anything more advanced.
# If needed, other methods could be added. However, for now, the
# position is that fewer options make for easier choices and that
# external packages can be used for anything more advanced.
def quantiles(dist, /, *, n=4, method='exclusive'):
'''Divide *dist* into *n* continuous intervals with equal probability.
@ -620,9 +617,6 @@ def quantiles(dist, /, *, n=4, method='exclusive'):
data. The minimum value is treated as the 0th percentile and the
maximum value is treated as the 100th percentile.
'''
# Possible future API extensions:
# quantiles(data, already_sorted=True)
# quantiles(data, cut_points=[0.02, 0.25, 0.50, 0.75, 0.98])
if n < 1:
raise StatisticsError('n must be at least 1')
if hasattr(dist, 'inv_cdf'):