Effortlessly Modify Arrays with numpy.insert in Python

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Inserting into a 1D Array

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In this case, the value 99 is inserted at index 2, resulting in the array [1, 2, 99, 3, 4, 5]. The original array remains unchanged, and a new array is returned.

Inserting into a 2D Array

Inserting elements into a 2D array offers more flexibility. You can specify whether the insertion should happen along rows or columns by using the axis parameter:

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Here, the values [99, 100] are inserted as a new column at index 1, resulting in a new 2D array. The original array remains unchanged.

Inserting into an Empty Array

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In this example, the values [1, 2, 3] are inserted into the empty array at index 0, creating a new array. This is an efficient way to build an array when the number of elements isn't known upfront.

Performance Considerations

Conclusion

Happy coding!