Minor code and comment cleanup (GH-16315)
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@ -555,8 +555,9 @@ def mode(data):
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"""
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data = iter(data)
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pairs = Counter(data).most_common(1)
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try:
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return Counter(data).most_common(1)[0][0]
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return pairs[0][0]
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except IndexError:
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raise StatisticsError('no mode for empty data') from None
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@ -602,6 +603,7 @@ def multimode(data):
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# mean=0.300. Only the latter (which corresponds with R6) gives the
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# desired cut point with 30% of the population falling below that
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# value, making it comparable to a result from an inv_cdf() function.
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# The R6 exclusive method is also idempotent.
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# For describing population data where the end points are known to
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# be included in the data, the R7 inclusive method is a reasonable
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