Python Print Dictionary Keys and Values
Last Updated :
27 Sep, 2024
When working with dictionaries, it's essential to be able to print their keys and values for better understanding and debugging. In this article, we'll explore different methods to Print Dictionary Keys and Values.
Example: Using print() Method
Python
my_dict = {'a': 1, 'b': 2, 'c': 3}
print("Keys:", list(my_dict.keys()))
print("Values:", list(my_dict.values()))
# Print both keys and values
print(my_dict)
OutputKeys: ['a', 'b', 'c']
Values: [1, 2, 3]
{'a': 1, 'b': 2, 'c': 3}
Explanation: In this example, below Python code defines a dictionary `my_dict` with key-value pairs. It then prints the keys, values, and the entire dictionary. The `list()` function is used to convert the dictionary's keys and values into lists for display.
Below, are the ways of Python Print Dictionary Keys and Values in Python.
Printing the Elements of a Dictionary Using Loop
Python code uses a loop to iterate through the keys and values of the dictionary `my_dict` and prints them in a formatted manner. The `items()` method is employed to simultaneously iterate over both keys and values, and f-strings are used for concise printing.
Python
my_dict = {'a': 1, 'b': 2, 'c': 3}
# Print both keys and values
print("Keys and Values:")
for key, value in my_dict.items():
print(f"{key}: {value}")
OutputKeys and Values:
a: 1
b: 2
c: 3
Printing the Items of a Dictionary Using zip() Function
In this example, below Python code uses the `zip()` function to pair keys and values from the dictionary `my_dict` and then prints them in a formatted manner. This approach allows for simultaneous iteration over keys and values, enhancing code conciseness.
Python
my_dict = {'a': 1, 'b': 2, 'c': 3}
# Print both keys and values using zip()
print("Keys and Values:")
for key, value in zip(my_dict.keys(), my_dict.values()):
print(f"{key}: {value}")
OutputKeys and Values:
a: 1
b: 2
c: 3
Conclusion
In conclusion, Python offers various methods to print dictionary keys and values, providing flexibility depending on your specific requirements. Whether you prefer simplicity, control, or concise formatting, these methods enable you to effectively work with dictionaries in Python.
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