The statistics module in Python allows you to use three options for working with median / average elements in a dataset, namely
median (), median_low () and median_high () .
Low Median is always a member of the dataset. If the number of data points is odd, the average is returned. When it is even, the lower of the two means is returned. Let`s see how
Syntax:median_low ( [data-set] )
[data-set] : Takes in a list, tuple or an interable set of numeric data.
Returntype:Returns the low median of numeric data. Low median is a member of actual data-set.
Exceptions:StatisticsError is raised when data-set is empty .
Code # 1: Operation
Low median of the data-set is 3
Code # 2: Working with median_low () and median to differentiate between them.
Low Median of data-set 1 is 5 Low Median of data-set 2 is 5.1 Low Median of data-set 3 is 2/3 Low Median of data-set 4 is -5 Low Median of data-set 5 is -1
Code # 4: Increased statistical error
Traceback (most recent call last): File "/home/5f3e758236f872d014f9d741743c30a4.py", line 10, in print (median_low (empty)) File "/usr/lib/python3.5/statistics.py", line 376, in median_low raise StatisticsError ("no median for empty data") statistics.StatisticsError: no median for empty data pre>
media n_low () is used when the data is discrete and would prefer the median to be an actual point in the data rather than extrapolated.X
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