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

(cherry picked from commit eed5e9a)

Co-authored-by: Raymond Hettinger <rhettinger@users.noreply.github.com>
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miss-islington and rhettinger committed Jul 19, 2019
1 parent a50a622 commit e5bfd1ce9da51b64d157392e0a831637f7335ff5
Showing with 3 additions and 9 deletions.
  1. +3 −9 Lib/statistics.py
@@ -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'):

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