Given a list, write a Python program to check if all the values in a list are less than the given value.
Examples:
Input : list = [11, 22, 33, 44, 55]
value = 22
Output : No
Input : list = [11, 22, 33, 44, 55]
value = 65
Output : Yes
Method #1: Traversing the list
Compare each element by iterating through the list and check if all the elements in the given list are less than the given value or not.
Python3
# Python program to check if all values# in the list are less than given value# Function to check the valuedef CheckForLess(list1, val): # traverse in the list for x in list1: # compare with all the # values with value if val <= x: return False return True# Driver codelist1 = [11, 22, 33, 44, 55]val = 65if (CheckForLess(list1, val)): print("Yes")else: print("No") |
Yes
Time complexity: O(n) – the function traverses through the entire list once.
Auxiliary space: O(1) – the function only uses a few variables for comparison and does not create any new data structures.
Method #2: Using all() function Using all() function we can check if all values are less than any given value in a single line. It returns true if the given condition inside the all() function is true for all values, else it returns false.
Python3
# Python program to check if all values# in the list are less than given value# Function to check the valuedef CheckForLess(list1, val): return(all(x < val for x in list1))# Driver codelist1 = [11, 22, 33, 44, 55]val = 65if (CheckForLess(list1, val)): print("Yes")else: print("No") |
Yes
Method #3 : Using max() method
Python3
# Python program to check if all values# in the list are less than given valuelist1 = [11, 22, 33, 44, 55]val = 65if(max(list1)>val): print("No")else: print("Yes") |
Yes
Time Complexity: O(n), where n is length of list1.
Auxiliary Space: O(1)
Method #4: Using numpy
Here’s the numpy library approach to check if all values in a list are less than a given value:
Python3
import numpy as np# Function to check if all elements# in list1 are less than valdef CheckForLess(list1, val): # Convert list1 to a numpy array arr = np.array(list1) # Check if all elements are less # than val using numpy's 'all' function if np.all(arr < val): return 'Yes' else: return 'No'# Driver Codelist1 = [11, 22, 33, 44, 55]val = 22print(CheckForLess(list1, val)) # Output: Nolist1 = [11, 22, 33, 44, 55]val = 65print(CheckForLess(list1, val)) # Output: Yes |
Output:
No Yes
Time Complexity: O(n), where n is the length of the input list, since we need to convert the list to a numpy array, and then use numpy’s ‘all’ function to check if all elements are less than the given value.
Space Complexity: O(n), where n is the length of the input list, since we create a numpy array of size n.
