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-rw-r--r--Lib/statistics.py4
1 files changed, 3 insertions, 1 deletions
diff --git a/Lib/statistics.py b/Lib/statistics.py
index d81596e5d8a..0d747b3d6c0 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