How to Convert String to List in Python

Converting strings to lists is a versatile operation with different approaches depending on your goal, for example, splitting by words, separating characters, parsing delimited data, or evaluating list representations.

Split String into Words with split()

The split() method without arguments separates a string by whitespace and handles multiple spaces intelligently.

text = "Apple Banana Cherry"

words = text.split()

print(words)
# Output: ['Apple', 'Banana', 'Cherry']

# Handles multiple spaces and tabs
messy_text = "Hello    World\tPython"
print(messy_text.split())
# Output: ['Hello', 'World', 'Python']

info

When called without arguments, split() treats consecutive whitespace characters as a single separator and ignores leading and trailing whitespace.

Split String by Custom Delimiter

Pass a delimiter argument to split() for CSV data, paths, or other structured formats.

# Split CSV data
csv_line = "Alice,Admin,active"
fields = csv_line.split(",")

print(fields)
# Output: ['Alice', 'Admin', 'active']

# Split path components
path = "/home/user/documents"
parts = path.split("/")

print(parts)
# Output: ['', 'home', 'user', 'documents']

# Split with limit (maxsplit parameter)
log_entry = "ERROR:Database:Connection failed:timeout"
parts = log_entry.split(":", maxsplit=2)

print(parts)
# Output: ['ERROR', 'Database', 'Connection failed:timeout']

Handle Empty Values in Delimited Data

data = "one,,two,,,three"

# split() preserves empty strings
result = data.split(",")
print(result)
# Output: ['one', '', 'two', '', '', 'three']

# Filter empty values if needed
filtered = [item for item in data.split(",") if item]
print(filtered)
# Output: ['one', 'two', 'three']

Convert String to Character List with list()

The list() constructor converts any iterable to a list. For strings, this produces a list of individual characters.

text = "Python"

characters = list(text)

print(characters)
# Output: ['P', 'y', 't', 'h', 'o', 'n']

# Works with Unicode
emoji_text = "Hi! 👋"
print(list(emoji_text))
# Output: ['H', 'i', '!', ' ', '👋']

Split by Lines with splitlines()

For multi-line strings, splitlines() handles different line ending conventions.

text = """Line one
Line two
Line three"""

lines = text.splitlines()

print(lines)
# Output: ['Line one', 'Line two', 'Line three']

# Handles Windows line endings too
windows_text = "First\r\nSecond\r\nThird"
print(windows_text.splitlines())
# Output: ['First', 'Second', 'Third']

Parse List String Representation with ast.literal_eval()

When you have a string that looks like a Python list, use ast.literal_eval() to safely convert it to an actual list object.

import ast

list_string = "[1, 2, 3, 'hello', True]"

# Convert string representation to real list
real_list = ast.literal_eval(list_string)

print(real_list)
# Output: [1, 2, 3, 'hello', True]

print(type(real_list))
# Output: <class 'list'>

print(real_list[0] + real_list[1])
# Output: 3

Handle Nested Structures

import ast

nested_string = "[[1, 2], [3, 4], {'key': 'value'}]"

data = ast.literal_eval(nested_string)

print(data)
# Output: [[1, 2], [3, 4], {'key': 'value'}]

print(data[2]['key'])
# Output: value

warning

Never use eval() to parse strings from untrusted sources. It executes arbitrary code and creates serious security vulnerabilities. Always use ast.literal_eval(), which only evaluates literal expressions.

Split Using Regular Expressions

For complex splitting patterns, use re.split() from the re module.

import re

text = "apple;banana,cherry orange"

# Split by multiple delimiters
items = re.split(r'[;,\s]+', text)

print(items)
# Output: ['apple', 'banana', 'cherry', 'orange']

# Split and keep delimiters
text = "one1two2three3four"
parts = re.split(r'(\d)', text)

print(parts)
# Output: ['one', '1', 'two', '2', 'three', '3', 'four']

Create List from String with Transformation

Combine splitting with list comprehensions to transform elements during conversion.

# Convert CSV numbers to integers
numbers_str = "10,20,30,40,50"
numbers = [int(x) for x in numbers_str.split(",")]

print(numbers)
# Output: [10, 20, 30, 40, 50]

print(sum(numbers))
# Output: 150

# Strip whitespace from each element
padded_data = " apple , banana , cherry "
clean_items = [item.strip() for item in padded_data.split(",")]

print(clean_items)
# Output: ['apple', 'banana', 'cherry']

Quick Reference

Goal	Method	Example
Split by whitespace	s.split()	"a b c" → ['a', 'b', 'c']
Split by delimiter	s.split(',')	"a,b,c" → ['a', 'b', 'c']
Split into characters	list(s)	"abc" → ['a', 'b', 'c']
Split by lines	s.splitlines()	"a\nb" → ['a', 'b']
Parse list string	ast.literal_eval(s)	"[1,2]" → [1, 2]
Split by pattern	re.split(pattern, s)	Complex delimiters

Conclusion

Choose your conversion method based on the input format: split() for word or delimiter-separated text, list() for character-level conversion, splitlines() for multi-line content, and ast.literal_eval() for parsing string representations of Python lists. For complex splitting patterns, re.split() provides the flexibility of regular expressions.