An array is a powerful data structure in programming that allows you to store and manipulate collections of elements of the same type. In Python, arrays are also a very common data structure, which plays a very important role, and sometimes we need to deduplicate arrays, so how does Python deduplicate arrays?Here's how to do it.
1. Use set
set is a data type in Python that represents an unordered, non-repeatable collection of elements. Convert an array to a set, and then convert a set to an array, and you're good to go.
```pythona = [1, 2, 3, 2, 1, 4, 5, 4]b = list(set(a))print(b) #This method is simple and easy to understand, but there is a problem that the set is unordered, so the order of the deduplicated array may be different from the order of the original array.
2. Use cycles
Use loops to iterate through elements in an array to store unique elements in a new array. ** Below:
```pythona = [1, 2, 3, 2, 1, 4, 5, 4]b = for i in a:if i not in b:b.append(i)print(b) #This method keeps the order of the array intact, but requires the use of loops, so it is not as efficient as using set.
3. Use numpy
NumPy is a scientific computing library in Python that provides a lot of functions for array operations. Among them, the unique function can implement array deduplication.
```pythonimport numpy as npa = [1, 2, 3, 2, 1, 4, 5, 4]b = np.unique(a)print(b) #Using numpy's unique function is an efficient way to deduplicate arrays and keep the order of the arrays unchanged. However, the numpy library needs to be installed, so it may not be very convenient.