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Table of Contents
Basic syntax:
1. Basic example: Create a dictionary from a list
2. Dictionary derivation with conditional filtering
3. Create a dictionary from two lists (using zip)
4. Convert existing dictionary (for example: convert all values to uppercase)
5. Invert the keys and values of the dictionary
Tips:
Home Backend Development Python Tutorial python dictionary comprehension example

python dictionary comprehension example

Aug 01, 2025 am 06:47 AM
java programming

Python dictionary derivation can be used to concisely create or convert dictionaries. 1. You can generate key-value pairs from a list, such as {word: len(word) for word in words}; 2. Support conditional filtering, such as adding if len(word) > 4; 3. You can build dictionaries from two lists with zip; 4. You can convert the values of existing dictionaries, such as v.upper(); 5. You can reverse key-value pairs, provided that the value is a hashable type; dictionary derivation is efficient and readable, but excessive nesting should be avoided. It is recommended to implement complex logic by loops.

python dictionary comprehension example

Python dictionary derivation is a concise way to quickly create dictionaries based on an iterable object. Its syntax is similar to list comprehension, but uses curly braces {} and specifies key-value pairs.

python dictionary comprehension example

Basic syntax:

 {key: value for item in iterable}

1. Basic example: Create a dictionary from a list

Suppose you want to convert a list of strings into a dictionary, the key is a string, and the value is the length of the string:

 words = ['apple', 'banana', 'cat']
word_length = {word: len(word) for word in words}
print(word_length)
# Output: {'apple': 5, 'banana': 6, 'cat': 3}

2. Dictionary derivation with conditional filtering

Only words with length greater than 4 are retained:

python dictionary comprehension example
 words = ['apple', 'hi', 'banana', 'cat']
long_words = {word: len(word) for word in words if len(word) > 4}
print(long_words)
# Output: {'apple': 5, 'banana': 6}

3. Create a dictionary from two lists (using zip)

 keys = ['name', 'age', 'city']
values = ['Alice', 25, 'New York']

person = {k: v for k, v in zip(keys, values)}
print(person)
# Output: {'name': 'Alice', 'age': 25, 'city': 'New York'}

4. Convert existing dictionary (for example: convert all values to uppercase)

 original = {'a': 'hello', 'b': 'world'}
uppercase = {k: v.upper() for k, v in original.items()}
print(uppercase)
# Output: {'a': 'HELLO', 'b': 'WORLD'}

5. Invert the keys and values of the dictionary

 original = {'one': 1, 'two': 2, 'three': 3}
reversed_dict = {v: k for k, v in original.items()}
print(reversed_dict)
# Output: {1: 'one', 2: 'two', 3: 'three'}

?? Note: It can only be reversed if the value of the original dictionary is a hashable type (such as strings, numbers).


Tips:

  • Dictionary derivation is very efficient and suitable for processing data transformation.
  • Good readability, but don't nest it too deeply.
  • If the logic is complicated, it is recommended to use a normal loop instead.

Basically these common uses are not complicated but very practical.

python dictionary comprehension example

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