Print descending order python for loop

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Print descending order python for loop

? Built-in Functions Sort a tuple: a = ("b", "g", "a", "d", "f", "c", "h", "e")x = sorted(a)print(x) Try it Yourself ? Definition and Usage The sorted() function returns a sorted list of the specified iterable object. You can specify ascending or descending order. Strings are sorted alphabetically, and numbers are sorted numerically. Note: You cannot sort a list that contains BOTH string values

AND numeric values. Syntax sorted(iterable, key=key, reverse=reverse) Parameter Values Parameter Description iterable Required. The sequence to sort, list, dictionary, tuple etc. key Optional. A Function to execute to decide the order. Default is None reverse Optional. A Boolean. False will sort ascending, True will sort descending. Default is False More Examples Sort numeric:

a = (1, 11, 2)x = sorted(a)print(x) Try it Yourself ? Sort ascending: a = ("h", "b", "a", "c", "f", "d", "e", "g")x = sorted(a)print(x) Try it Yourself ? Sort descending: a = ("h", "b", "a", "c", "f", "d", "e", "g")x = sorted(a, reverse=True)print(x) Try it Yourself ? ? Built-in Functions Hi, in this tutorial, we are going to write a simple program to perform Selection Sort using For Loop using Function in

Python. What is Selection Sort? In computer science, it is a sorting algorithm, specifically an in-place comparison sort. It has O(n2) time complexity, making it inefficient on large lists, and generally performs worse than the similar insertion sort. Selection sorting is noted for its simplicity, and it has performance advantages over more complicated algorithms in certain situations,

particularly where auxiliary memory is limited. Define Selection Sort Now, let¡¯s create a new function named SelectionSort which accepts 1 parameter as an argument. The argument which we pass to this function is an unordered list that is passed to this above function to perform Selection Sorting algorithm on this list and return sorted list back to function call. Read => Binary

Search Algorithm on Sorted List using Loop in Python So the logic or the algorithm behind Selection Sort is that it iterates all the elements of the list and if the smallest element in the list is found then that number is swapped with the first. So for this algorithm, we are going to use two for loops, one for traversing through each element from index 0 to n-1. Another nested loop is used

to compare each element until the last element for each iteration. def selectionSort(List): for i in range(len(List) - 1): minimum = i for j in range( i + 1, len(List)): if(List[j] < List[minimum]): minimum = j if(minimum != i): List[i], List[minimum] = List[minimum], List[i] return List The Complexity of Selection Sort The time efficiency of selection sort is quadratic, so there are a number of

sorting techniques which have better time complexity than selection sort. One thing which distinguishes this sort from other sorting algorithms is that it makes the minimum possible number of swaps, n ? 1 in the worst case. Best O(n^2); Average O(n^2); Worst O(n^2) Define Main Condition Now let¡¯s define the main condition where we define our unordered list which needs to be

passed to the above function we created. So, pass the user-defined lists to function and print the returned sorted list using the print statement. if __name__ == '__main__': List = [3, 4, 2, 6, 5, 7, 1, 9] print('Sorted List:',selectionSort(List)) Source Code def selectionSort_Ascending(List): for i in range(len(List) - 1): minimum = i for j in range( i + 1, len(List)): if(List[j] < List[minimum]):

minimum = j if(minimum != i): List[i], List[minimum] = List[minimum], List[i] return List def selectionSort_Descending(List): for i in range(len(List) - 1): minimum = i for j in range(len(List)-1,i,-1): if(List[j] > List[minimum]): minimum = j if(minimum != i): List[i], List[minimum] = List[minimum], List[i] return List if __name__ == '__main__': List1 = [3, 4, 2, 6, 5, 7, 1, 9] print('Sorted List

Ascending:',selectionSort_Ascending(List1)) print('Sorted List Descending:',selectionSort_Descending(List1)) Output I hope you guys like the tutorial, feel free to drop any comments down in comment section below. The syntax of the sort() method is: list.sort(key=..., reverse=...) Alternatively, you can also use Python's built-in sorted() function for the same purpose. sorted(list,

key=..., reverse=...) Note: The simplest difference between sort() and sorted() is: sort() changes the list directly and doesn't return any value, while sorted() doesn't change the list and returns the sorted list. sort() Parameters By default, sort() doesn't require any extra parameters. However, it has two optional parameters: reverse - If True, the sorted list is reversed (or sorted in

Descending order) key - function that serves as a key for the sort comparison Return value from sort() The sort() method doesn't return any value. Rather, it changes the original list. If you want a function to return the sorted list rather than change the original list, use sorted(). Example 1: Sort a given list # vowels list vowels = ['e', 'a', 'u', 'o', 'i'] # sort the vowels vowels.sort() # print

vowels print('Sorted list:', vowels) Output Sorted list: ['a', 'e', 'i', 'o', 'u'] Sort in Descending order The sort() method accepts a reverse parameter as an optional argument. Setting reverse = True sorts the list in the descending order. list.sort(reverse=True) Alternately for sorted(), you can use the following code. sorted(list, reverse=True) Example 2: Sort the list in Descending order #

vowels list vowels = ['e', 'a', 'u', 'o', 'i'] # sort the vowels vowels.sort(reverse=True) # print vowels print('Sorted list (in Descending):', vowels) Output Sorted list (in Descending): ['u', 'o', 'i', 'e', 'a'] Sort with custom function using key If you want your own implementation for sorting, the sort() method also accepts a key function as an optional parameter. Based on the results of the key

function, you can sort the given list. list.sort(key=len) Alternatively for sorted: sorted(list, key=len) Here, len is the Python's in-built function to count the length of an element. The list is sorted based on the length of each element, from lowest count to highest. We know that a tuple is sorted using its first parameter by default. Let's look at how to customize the sort() method to sort

using the second element. Example 3: Sort the list using key # take second element for sort def takeSecond(elem): return elem[1] # random list random = [(2, 2), (3, 4), (4, 1), (1, 3)] # sort list with key random.sort(key=takeSecond) # print list print('Sorted list:', random) Output Sorted list: [(4, 1), (2, 2), (1, 3), (3, 4)] Let's take another example. Suppose we have a list of information

about the employees of an office where each element is a dictionary. We can sort the list in the following way: # sorting using custom key employees = [ {'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}, {'Name': 'John Hopkins', 'age': 18, 'salary': 1000}, {'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}, ] # custom functions to get

employee info def get_name(employee): return employee.get('Name') def get_age(employee): return employee.get('age') def get_salary(employee): return employee.get('salary') # sort by name (Ascending order) employees.sort(key=get_name) print(employees, end='') # sort by Age (Ascending order) employees.sort(key=get_age) print(employees, end='') # sort by salary

(Descending order) employees.sort(key=get_salary, reverse=True) print(employees, end='') Output [{'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'John Hopkins', 'age': 18, 'salary': 1000}, {'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}] [{'Name': 'John Hopkins', 'age': 18, 'salary': 1000}, {'Name': 'Alan Turing', 'age': 25,

'salary': 10000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}, {'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}] [{'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}, {'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}, {'Name': 'John Hopkins', 'age': 18, 'salary': 1000}] Here, for the first case, our custom function returns the name of each

employee. Since the name is a string, Python by default sorts it using the alphabetical order. For the second case, age (int) is returned and is sorted in ascending order. For the third case, the function returns the salary (int), and is sorted in the descending order using reverse = True. It is a good practice to use the lambda function when the function can be summarized in one line.

So, we can also write the above program as: # sorting using custom key employees = [ {'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}, {'Name': 'John Hopkins', 'age': 18, 'salary': 1000}, {'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}, ] # sort by name (Ascending order) employees.sort(key=lambda x: x.get('Name')) print(employees,

end='') # sort by Age (Ascending order) employees.sort(key=lambda x: x.get('age')) print(employees, end='') # sort by salary (Descending order) employees.sort(key=lambda x: x.get('salary'), reverse=True) print(employees, end='') Output [{'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'John Hopkins', 'age': 18, 'salary': 1000}, {'Name': 'Mikhail Tal', 'age': 40, 'salary':

15000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}] [{'Name': 'John Hopkins', 'age': 18, 'salary': 1000}, {'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'Sharon Lin', 'age': 30, 'salary': 8000}, {'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}] [{'Name': 'Mikhail Tal', 'age': 40, 'salary': 15000}, {'Name': 'Alan Turing', 'age': 25, 'salary': 10000}, {'Name': 'Sharon Lin', 'age': 30,

'salary': 8000}, {'Name': 'John Hopkins', 'age': 18, 'salary': 1000}] To learn more about lambda functions, visit Python Lambda Functions.

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