DeepDiff is a powerful library for comparing and finding the differences between two Python objects. It provides a flexible and easy-to-use interface to identify complex changes, such as additions, deletions, and modifications, in deep nested structures.
Installation
To install DeepDiff, simply use pip:
[code language="bash"]
pip install deepdiff
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Usage
[code language="python"]
from deepdiff import DeepDiff
obj1 = {'a': 1, 'b': 2, 'c': [1, 2]}
obj2 = {'a': 1, 'b': 3, 'c': [1, 2, 3]}
# Finding differences
differences = DeepDiff(obj1, obj2)
# Printing differences
print(differences)
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Results
DeepDiff provides a detailed output that highlights the differences between the two objects. Here's an example output:
[code language="python"]
{'values_changed': {"root['b']": {'new_value': 3, 'old_value': 2}},
'iterable_item_added': {"root['c'][2]": 3}}
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In this example, the 'values_changed' key indicates that the value of the 'b' key has changed from 2 to 3. The 'iterable_item_added' key shows that the third element (index 2) has been added to the 'c' list with a value of 3.
Features
- Compare and identify differences between two Python objects
- Supports comparison of nested structures, including lists, dictionaries, and sets
- Flexible configuration to customize comparison behavior
- Provides detailed output highlighting the specific changes
- Works with custom objects by providing a customizable comparison method
Conclusion
DeepDiff is a valuable tool for finding differences between Python objects. Its flexible and intuitive interface makes it easy to use, while providing detailed and informative results. Whether you need to identify changes in simple data structures or complex nested objects, DeepDiff has got you covered.