Save List to File Python

Using write() Method

To save a list to a file using Python's write() method:

cities = ["New York", "Los Angeles", "Chicago", "Houston", "Phoenix"] with open('cities.txt', 'w') as file: for city in cities: file.write(city + "n")

For non-string list items:

mixed_list = [101, "apples", 9.99, "bananas"] with open('items.txt', 'w') as file: for item in mixed_list: file.write(str(item) + "n")

This approach handles various data types while maintaining simplicity.

String Join with File Operations

Using the str.join method to write a list to a file:

fruits = ["Apples", "Oranges", "Pears", "Bananas", "Pineapples"] fruit_string = "n".join(fruits) with open('fruits.txt', 'w') as file: file.write(fruit_string + "n")

For mixed data types:

mixed_data = [42, "apple", 3.14, "orange"] mixed_string = "n".join(str(item) for item in mixed_data) with open('data.txt', 'w') as file: file.write(mixed_string + "n")

This method is efficient for quick data storage when specific formatting isn't needed.

Using writelines() Method

The writelines() method offers an efficient way to write a list to a file:

animals = ["Dog", "Cat", "Elephant", "Giraffe", "Lion"] with open('animals.txt', 'w') as file: file.writelines(animal + "n" for animal in animals)

For lists with various data types:

miscellaneous = [3, "zebra", 7.2, "tiger"] with open('misc.txt', 'w') as file: file.writelines(str(item) + "n" for item in miscellaneous)

This method is useful when simplicity and speed are priorities.

Writing lists to files in Python can be done efficiently using write(), writelines(), or str.join. Choose the method that best suits your needs for managing data effectively.

Comparison of Methods:

Method Pros Cons
write() Simple, flexible Requires loop
str.join() Concise, efficient Limited to string lists
writelines() Fast, no explicit loop May need list comprehension

Writio – Your AI content writer for high quality articles. This post was written by Writio.

  1. Rossum G, Drake FL. The Python Library Reference. Python Software Foundation; 2021.
  2. Lutz M. Learning Python. 5th ed. O'Reilly Media; 2013.

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