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7f04e5cd34
* spelling corrections * review * improved documentation, removed redundant variables, added testing * added type hint * camel case to snake case * spelling fix * review * python --> Python # it is a brand name, not a snake * explicit cast to int * spaces in int list * "!= None" to "is not None" * Update comb_sort.py * various spelling corrections in documentation & several variables naming conventions fix * + char in file name * import dependency - bug fix Co-authored-by: John Law <johnlaw.po@gmail.com>
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
import statistics
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def mode(input_list): # Defining function "mode."
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"""This function returns the mode(Mode as in the measures of
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central tendency) of the input data.
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The input list may contain any Datastructure or any Datatype.
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>>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
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>>> mode(input_list)
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2
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>>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
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>>> mode(input_list) == statistics.mode(input_list)
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True
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"""
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# Copying input_list to check with the index number later.
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check_list = input_list.copy()
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result = list() # Empty list to store the counts of elements in input_list
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for x in input_list:
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result.append(input_list.count(x))
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input_list.remove(x)
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y = max(result) # Gets the maximum value in the result list.
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# Returns the value with the maximum number of repetitions.
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return check_list[result.index(y)]
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if __name__ == "__main__":
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data = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
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print(mode(data))
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print(statistics.mode(data))
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