Minor code and comment cleanup (GH-16315) (GH-16316)
(cherry picked from commit 7ce4bfa8cfcc78d03e164f2de64a2caad1d919af)
Co-authored-by: Raymond Hettinger <rhettinger@users.noreply.github.com>
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 @@
"""
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 @@
# 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