Itertools is a Python module that provide various functions that work on iterators to produce complex iterators. It makes the code faster, memory efficient and thus we see a better performance. This module is either used by themselves or in combination to form iterator algebra.
Note: For more information, refer to Python Itertools
Dropwhile()
The dropwhile() function of Python returns an iterator only after the func. in argument returns false for the first time.
Syntax:
dropwhile(func, seq):
Example 1:
# Python code to demonstrate the working of # dropwhile() # Function to be passed # as an argument def is_positive(n): return n > 0 value_list =[5, 6, -8, -4, 2] result = list(itertools.dropwhile(is_positive, value_list)) print(result) |
Output:
[-8, -4, 2]
Example 2:
# Python code to demonstrate the working of # dropwhile() import itertools # initializing list li = [2, 4, 5, 7, 8] # using dropwhile() to start displaying after condition is false print ("The values after condition returns false : ", end ="") print (list(itertools.dropwhile(lambda x : x % 2 == 0, li))) |
Output:
The values after condition returns false : [5, 7, 8]
