Python/maths/average_mode.py
Rohan R Bharadwaj a98465230f
[mypy] Fix type annotations for maths directory (#5782)
* [mypy] Fix annotations in `maths/series/p_series.py`

* Update p_series.py

* Update p_series.py

* Remove from excluded in mypy.ini

* Type annotation for series

* Annotate maths/proth_number.py (properly)

* Remove from excluded in mypy.ini

* Annotate average_mode.py

* Update average_mode.py

* Update average_mode.py

* Update average_mode.py

* Update average_mode.py

* Remove from excluded in mypy.ini

* Fix annotations in gamma_recursive.py

* Remove from excluded in mypy.ini

* Annotations for geometric_series.py

* Update geometric_series.py

* Update mypy.ini

* Update average_mode.py

* Update average_mode.py

* Update average_mode.py

* Update mypy.ini

* Update mypy.ini

* Update mypy.ini

* Update average_mode.py

* Update proth_number.py

* Update average_mode.py

* Update gamma_recursive.py

* Update proth_number.py

* Update mypy.ini

* Update geometric_series.py

* Update average_mode.py

* Update proth_number.py

* Update geometric_series.py

* Update geometric_series.py

* Update geometric_series.py

* Update p_series.py

* Update geometric_series.py

* Update p_series.py

* Update p_series.py

* Update geometric_series.py

* Update p_series.py

* Update p_series.py

* Remove data_structures/stacks/next_greater_element.py|

Co-authored-by: Christian Clauss <cclauss@me.com>
2021-11-07 16:13:58 +01:00

33 lines
935 B
Python

from typing import Any
def mode(input_list: list) -> list[Any]:
"""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.
>>> mode([2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2])
[2]
>>> mode([3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2])
[2]
>>> mode([3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2])
[2, 4]
>>> mode(["x", "y", "y", "z"])
['y']
>>> mode(["x", "x" , "y", "y", "z"])
['x', 'y']
"""
if not input_list:
return []
result = [input_list.count(value) for value in input_list]
y = max(result) # Gets the maximum count in the input list.
# Gets values of modes
return sorted({input_list[i] for i, value in enumerate(result) if value == y})
if __name__ == "__main__":
import doctest
doctest.testmod()