Python/maths/average_mode.py

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import statistics
def mode(input_list): # Defining function "mode."
"""This function returns the mode(Mode as in the measures of
central tendency) of the input data.
The input list may contain any Datastructure or any Datatype.
>>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
>>> mode(input_list)
2
>>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
>>> mode(input_list) == statistics.mode(input_list)
True
"""
# Copying inputlist to check with the index number later.
check_list = input_list.copy()
result = list() # Empty list to store the counts of elements in input_list
for x in input_list:
result.append(input_list.count(x))
input_list.remove(x)
y = max(result) # Gets the maximum value in the result list.
# Returns the value with the maximum number of repetitions.
return check_list[result.index(y)]
if __name__ == "__main__":
data = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
print(mode(data))
print(statistics.mode(data))