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Python – Check if particular value is present corresponding to K key
When working with a list of dictionaries in Python, you often need to check if a particular value exists for a specific key across all dictionaries. This can be efficiently done using list comprehension with the in operator.
Example
Here's how to check if a value is present corresponding to a specific key ?
my_list = [
{"python": "14", "is": "great", "fun": "1"},
{"python": "cool", "is": "fun", "best": "81"},
{"python": "93", "is": "CS", "amazing": "16"}
]
print("The list is:")
print(my_list)
K = "python"
print("The value of K is:")
print(K)
value = "cool"
my_result = value in [index[K] for index in my_list]
print("The result is:")
if my_result:
print("The value is present with respect to key")
else:
print("The value isn't present with respect to key")
The list is:
[{'python': '14', 'is': 'great', 'fun': '1'}, {'python': 'cool', 'is': 'fun', 'best': '81'}, {'python': '93', 'is': 'CS', 'amazing': '16'}]
The value of K is:
python
The result is:
The value is present with respect to key
How It Works
The solution uses a list comprehension to extract all values associated with the key K from each dictionary in the list:
# Extract all values for key "python"
values = [index[K] for index in my_list]
print("Values for key 'python':", values)
# Check if our target value exists
result = "cool" in values
print("Is 'cool' present?", result)
Values for key 'python': ['14', 'cool', '93'] Is 'cool' present? True
Alternative Approach Using any()
You can also use the any() function for better performance with large datasets ?
my_list = [
{"python": "14", "is": "great", "fun": "1"},
{"python": "cool", "is": "fun", "best": "81"},
{"python": "93", "is": "CS", "amazing": "16"}
]
K = "python"
value = "cool"
# Using any() - stops at first match
result = any(dictionary[K] == value for dictionary in my_list)
print("Using any():", result)
Using any(): True
Comparison
| Method | Performance | Best For |
|---|---|---|
List comprehension with in
|
Creates full list | Small datasets |
any() with generator |
Stops at first match | Large datasets |
Conclusion
Use list comprehension with in for simple checks, or any() for better performance with large datasets. Both methods effectively check if a value exists for a specific key across multiple dictionaries.
