From 7ce4bfa8cfcc78d03e164f2de64a2caad1d919af Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Fri, 20 Sep 2019 21:46:52 -0700 Subject: Minor code and comment cleanup (GH-16315) --- Lib/statistics.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/Lib/statistics.py b/Lib/statistics.py index d81596e..0d747b3 100644 --- a/Lib/statistics.py +++ b/Lib/statistics.py @@ -555,8 +555,9 @@ def mode(data): """ data = iter(data) + pairs = Counter(data).most_common(1) try: - return Counter(data).most_common(1)[0][0] + return pairs[0][0] except IndexError: raise StatisticsError('no mode for empty data') from None @@ -602,6 +603,7 @@ def multimode(data): # mean=0.300. Only the latter (which corresponds with R6) gives the # desired cut point with 30% of the population falling below that # value, making it comparable to a result from an inv_cdf() function. +# The R6 exclusive method is also idempotent. # For describing population data where the end points are known to # be included in the data, the R7 inclusive method is a reasonable -- cgit v0.12