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Merged
merged 8 commits into from
Oct 29, 2019
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average_mode.py #1491

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LokiUvaraj Oct 28, 2019
8579199
Update average_mode.py
LokiUvaraj Oct 28, 2019
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Update average_mode.py
LokiUvaraj Oct 28, 2019
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Update average_mode.py
LokiUvaraj Oct 28, 2019
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Update average_mode.py
LokiUvaraj Oct 28, 2019
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Update average_mode.py
LokiUvaraj Oct 28, 2019
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Update average_mode.py
cclauss Oct 29, 2019
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Tabs do not belong in Python files!
cclauss Oct 29, 2019
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18 changes: 18 additions & 0 deletions maths/average_mode.py
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def mode(inputlist): #Defining function "mode."
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Let's change this to input_list to be more Pythonic as discussed in CONTRIBUTING.md.

"""
This function returns the mode(Mode as in the measures of central tendency) of the input data.

>>> mode([2,3,4,5,3,4,2,5,2,2,4,2,2,2])
2

the input list may contain any Datastructure or any Datatype.
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Put this line above the doctest (and Capitalize the first letter).

Let's add another test...

>>> input_list = [2,3,4,5,3,4,2,5,2,2,4,2,2,2]
>>> mode(input_list)
2
>>> import statistics
>>> mode(input_list) == statistics.mode(input_list)
True

"""
checklist = inputlist.copy() #Copying inputlist to check with the index number later.
result = list() #Empty list to store the counts of elements in inputlist
for x in inputlist:
result.append(inputlist.count(x))
inputlist.remove(x)
y=max(result) #Gets the maximum value in the result list.
return checklist[result.index(y)] #Returns the value with the maximum number of repetitions.
data=[1,2,4,3,1,6,4,2,5,1,1,2,3]
print(mode(data))