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Python itertools.takewhile() Function

The Python itertools.takewhile() function is used to return elements from an iterable as long as a specified condition remains true. Once the condition evaluates to false, iteration stops immediately.

This function is useful for processing sequences where elements should only be included until a certain threshold is met.

Following is the syntax of the Python itertools.takewhile() function −

itertools.takewhile(predicate, iterable)

This function accepts the following parameters −

• predicate: A function that returns True or False for each element.
• iterable: The input iterable whose elements will be processed.

This function returns an iterator that yields elements from the iterable until the predicate function returns False.

Following is an example of the Python itertools.takewhile() function. Here, we take numbers from a list until we reach a number greater than or equal to 10 −

import itertools

numbers = [1, 4, 7, 9, 10, 12, 15]
result = itertools.takewhile(lambda x: x < 10, numbers)
for num in result:
   print(num)

Following is the output of the above code −

1
4
7
9

Here, we use itertools.takewhile() function to extract elements from a sorted list of temperatures until a temperature of 30 or higher is encountered −

import itertools

temperatures = [22, 24, 27, 29, 30, 32, 35]
result = itertools.takewhile(lambda t: t < 30, temperatures)
for temp in result:
   print(temp)

Output of the above code is as follows −

22
24
27
29

Now, we use itertools.takewhile() function to process a list of words, stopping when a word longer than 5 characters is encountered −

import itertools

words = ["apple", "pear", "fig", "banana", "cherry", "grape"]
result = itertools.takewhile(lambda w: len(w) <= 5, words)
for word in result:
   print(word)

The result obtained is as shown below −

apple
pear
fig

We can use itertools.takewhile() function to filter stock prices until a significant drop occurs −

import itertools

stock_prices = [100, 105, 110, 115, 90, 80, 70]
result = itertools.takewhile(lambda price: price > 95, stock_prices)
for price in result:
   print(price)

The result produced is as follows −

100
105
110
115

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